CERES SRBAVG R4-671 Readme File 1.0 Introduction This readme file document provides information on the following Clouds and Earth's Radiant Energy System (CERES) SRBAVG data sets: TRMM-PFM CER_SRBAVG1_TRMM-PFM-VIRS_Edition2B CER_SRBAVG2_TRMM-PFM-VIRS_Edition2B CER_SRBAVG3_TRMM-PFM-VIRS_Edition2B TERRA: CER_SRBAVG1_Terra_FM1_Edition2C CER_SRBAVG1_Terra_FM2_Edition2C CER_SRBAVG2_Terra_FM1_Edition2C CER_SRBAVG2_Terra_FM2_Edition2C CER_SRBAVG3_Terra_FM1_Edition2C CER_SRBAVG3_Terra_FM2_Edition2C CER_SRBAVG1_Terra_FM1_Edition2D CER_SRBAVG1_Terra_FM2_Edition2D CER_SRBAVG2_Terra_FM1_Edition2D CER_SRBAVG2_Terra_FM2_Edition2D CER_SRBAVG3_Terra_FM1_Edition2D CER_SRBAVG3_Terra_FM2_Edition2D AQUA: CER_SRBAVG1_Aqua_FM3_Edition2A CER_SRBAVG1_Aqua_FM4_Edition2A CER_SRBAVG2_Aqua_FM3_Edition2A CER_SRBAVG2_Aqua_FM4_Edition2A CER_SRBAVG3_Aqua_FM3_Edition2A CER_SRBAVG3_Aqua_FM4_Edition2A This document includes the following sections: Section 2.0 - Data Set Description Section 3.0 - Format and Packaging Section 4.0 - Science Parameters Information Section 5.0 - Description of Sample Read Software Section 6.0 - Implementing Sample Read Software Section 7.0 - Sample Outputs (for SRBAVG1 and SRBAVG2) Section 8.0 - Additional Data Information (This section is optional) If users have questions, please contact the Langley ASDC User and Data Services Office at: Atmospheric Science Data Center User and Data Services Office Mail Stop 157D 2 South Wright Street NASA Langley Research Center Hampton, Virginia 23681-2199 U.S.A. E-mail: larc@eos.nasa.gov Phone: (757)864-8656 FAX: (757)864-8807 URL: http://eosweb.larc.nasa.gov 2.0 Data Set Description 2.1 Instrumentation Description For a complete description of the CERES experiment and instruments, please refer to the documentation provided at the URL http://science.larc.nasa.gov/ceres/index.html. 2.2 Data Quality For a discussion regarding the quality of the SRBAVG data sets, please refer to the corresponding Quality Summary Document available from the URL http://eosweb.larc.nasa.gov/PRODOCS/ceres/table_ceres.html. 2.3 Other pertinent information The CERES SRBAVG product is produced from software maintained by the CERES Monthly Regional TOA and Surface Radiation Budget Data Management Team. 2.4 Science Representatives *NOTE TO USER: If you have any questions concerning the sample code or the data, please contact the Atmospheric Sciences Data Center User Services Office. The contact information is provided above in Section 1.0. 1. Dr. Bruce A. Wielicki, CERES Interdisciplinary Principal Investigator NASA Langley Research Center Mail Stop 420 Hampton, VA 23681-2199 E-mail: Bruce.A.Wielicki@nasa.gov FAX: (757)864-7996 Phone: (757)864-5683 2. Mr. David R. Doelling, SD-CLIMATE SCIENCE Branch NASA Langley Research Center Mail Stop 420 Hampton, VA 23681-2199 E-mail: David.R.Doelling@nasa.gov FAX: (757)864-7996 Phone: (757)864-2155 3.0 Format and Packaging This package includes a program, written in C, which will read an SRBAVG HDF file. The examples provided in the main (SRBAVG_readhdf.c) program are written specifically for SDS(s) and Vdata(s) in SRBAVG files. This read program is provided as a template to the user who will need to modify it, if they need to read different SRBAVG parameters. Information on the structure of the SRBAVG file can be found in the Data Products Catalog (DPC) pages included in this package. This information is also available in the enclosed dump file, CER_SRBAVG_Sample_R4V1.dump. Complete parameter descriptions are available in the Collection/User's Guide, which is on-line at URL: http://science.larc.nasa.gov/ceres/collect_guide/index.html. 3.1 Sample Read Package Contents This package consists of the following files: 1) CER_SRBAVG1_Sample_R4V1 2) CER_SRBAVG1_Sample_R4V1.dump 3) CER_SRBAVG1_Sample_R4V1.met 4) CER_SRBAVG2_Sample_R4V1 5) CER_SRBAVG2_Sample_R4V1.dump 6) CER_SRBAVG2_Sample_R4V1.met 7) CER_SRBAVG3_Sample_R4V1 8) CER_SRBAVG3_Sample_R4V1.dump 9) CER_SRBAVG3_Sample_R4V1.met 10) DPC-SRBAVG_R4V1.pdf 11) SRBAVG_HDFread.h 12) SRBAVG_readHDFfuncs.c 13) SRBAVG_readhdf.c 14) compile_SRBAVG_readhdf Descriptions for each file is as follows: 1)'CER_SRBAVG1_Sample_R4V1' is a sample 5-region SRBAVG file which is used by the examples in 'SRBAVG_readhdf.c' 2)'CER_SRBAVG1_Sample_R4V1.dump' is an ASCII file containing a description of the data in the sample SRBAVG1, 'CER_SRBAVG1_Sample_R4V1'. If a value in the SRBAVG granule is out-of-range or not valid, a default value is inserted in its place. Default values depend on data type. CERES default values are greater than or equal to: INT2 - 32767 INT4 - 2147483647 REAL4 - 3.402823E+38 REAL8 - 1.797693134862315E+308 The 'CER_SRBAVG1_Sample_R4V1.dump' file includes a list of ALL the data on the 5 region sample SRBAVG (314 parameters/SDS's plus header Vdata). The output data are the same as what the user would produce using hdp, but for this example, the CERES Team modified the format of the output from the hdp command to make it easier to read. 3)CER_SRBAVG1_Sample_R4V1.met is an ASCII metadata file that is delivered with every data granule. The file is written in Object Descriptive Language (ODL) and contains information that is associated with the origin, content, quality, and condition of the data granule. The metadata information contained in the granule metadata file is also included as metadata on the SRBAVG1 HDF data file. An example of a metadata parameter found in the metadata file and on the SRBAVG1 HDF file is LOCALGRANULEID, which has a value set to the original granule file name. 4)'CER_SRBAVG2_Sample_R4V1' is a sample 5-region SRBAVG file which is used by the examples in 'SRBAVG_readhdf.c' 5)'CER_SRBAVG2_Sample_R4V1.dump' is an ASCII file containing a description of the data in the sample SRBAVG2, 'CER_SRBAVG2_Sample_R4V1'. If a value in the SRBAVG granule is out-of-range or not valid, a default value is inserted in its place. Default values depend on data type. CERES default values are greater than or equal to: INT2 - 32767 INT4 - 2147483647 REAL4 - 3.402823E+38 REAL8 - 1.797693134862315E+308 The 'CER_SRBAVG2_Sample_R4V1.dump' file includes a list of ALL the data on the 5 region sample SRBAVG (360 parameters/SDS's plus header Vdata). The output data are the same as what the user would produce using hdp, but for this example, the CERES Team modified the format of the output from the hdp command to make it easier to read. 6)CER_SRBAVG2_Sample_R4V1.met is an ASCII metadata file that is delivered with every data granule. The file is written in Object Descriptive Language (ODL) and contains information that is associated with the origin, content, quality, and condition of the data granule. The metadata information contained in the granule metadata file is also included as metadata on the SRBAVG2 HDF data file. An example of a metadata parameter found in the metadata file and on the SRBAVG2 HDF file is LOCALGRANULEID, which has a value set to the original granule file name. 7)'CER_SRBAVG3_Sample_R4V1' is a sample 5-region SRBAVG file which is used by the examples in 'SRBAVG_readhdf.c' 8)'CER_SRBAVG3_Sample_R4V1.dump' is an ASCII file containing a description of the data in the sample SRBAVG3, 'CER_SRBAVG3_Sample_R4V1'. If a value in the SRBAVG granule is out-of-range or not valid, a default value is inserted in its place. Default values depend on data type. CERES default values are greater than or equal to: INT2 - 32767 INT4 - 2147483647 REAL4 - 3.402823E+38 REAL8 - 1.797693134862315E+308 The 'CER_SRBAVG3_Sample_R4V1.dump' file includes a list of ALL the data on the 5 region sample SRBAVG (360 parameters/SDS's plus header Vdata). The output data are the same as what the user would produce using hdp, but for this example, the CERES Team modified the format of the output from the hdp command to make it easier to read. 9)CER_SRBAVG3_Sample_R4V1.met is an ASCII metadata file that is delivered with every data granule. The file is written in Object Descriptive Language (ODL) and contains information that is associated with the origin, content, quality, and condition of the data granule. The metadata information contained in the granule metadata file is also included as metadata on the SRBAVG3 HDF data file. An example of a metadata parameter found in the metadata file and on the SRBAVG3 HDF file is LOCALGRANULEID, which has a value set to the original granule file name. 10)'SRBAVG_DPC_R4V1.pdf' is a copy of the CERES Data Product Catalog pages which describes the SRBAVG product. 11)'SRBAVG_HDFread.h' is a header file for 'SRBAVG_readhdf.c' and the SRBAVG HDF read functions. 12)'SRBAVG_readHDFfuncs.c' is a file consisting of C functions that are linked with 'SRBAVG_readhdf.c' and call the HDF functions. 13)'SRBAVG_readhdf.c' is the main program which accesses the HDF reading functions. It consists of five examples(for each SRBAVG) of accessing SDS and Vdata structures from the included sample SRBAVG file. Comments are provided throughout the program. This file must be modified if the user wishes to read SDSs or Vdatas other than those in the examples. 14)'compile_SRBAVG_readhdf' is a sample script to compile the C programs in a UNIX environment. The script must be modified for different platforms to properly compile the programs and correctly link the HDF libraries. 3.2 Zip Information To read the files, first unzip them with Info-Zip software. Information about downloading and using this freeware is available at the URL: http://www.info-zip.org/pub/infozip/Info-ZIP.html 3.3 HDF library HDF information, documentation, tutorials, libraries, etc. can be found on-line at the URL http://hdf.ncsa.uiuc.edu. The utility hdp, provided in the HDF libraries, extracts information regarding the HDF file contents, such as the size, type, order, names, and the data itself. Some examples are: hdp -H - provides "help" on how to use the "hdp" utility hdp dumpsds [-options] - lists information about the SDSs found on the specified file hdp dumpvd [-options] - lists information about the Vdatas found on the specified file 3.4 Data Format The SRBAVG data files are written in HDF as collections of SDS(s) and Vdata(s). 3.5 Breakdown of the File Naming Convention The SRBAVG data granules adhere to the following CERES file naming convention: CER_PID_SS_PS_CC.DataDate where: CER = the CERES experiment PID = the CERES product, e.g., SRBAVG1 or SRBAVG2 or SRBAVG3 SS = the CERES sampling strategy, e.g., Terra-FM2-MODIS, as defined by the CERES experiment. For the SRBAVG, this indicates the satellite and instruments that were the source of the input data into the software system that produced the SRBAVG data. PS = the CERES production strategy, e.g., 'Beta2', as defined by the CERES experiment. 'BetaN' production strategies indicate versions of the product produced with algorithms that are still being validated. SRBAVG data products with BetaN production strategies may only be available for a limited time and cannot be be used to publish. SRBAVG data products with 'EditionN' production strategies usually indicate products that contain validated data with which the user can publish. CC = the product configuration code, e.g., '017018', assigned by the CERES experiment. This code is internal to the CERES project, and is updated whenever the software system producing the product is modified for any reason. Multiple files that are identical in all aspects of the filename except for the 6 digit configuration code differ little, if any, scientifically. Users may, therefore, analyze data from the same sampling strategy and production strategy without regard to configuration code. For a complete history of the changes to the software, see the SRBAVG product Description/Abstract document available from the URL http://eosweb.larc.nasa.gov/PRODOCS/ceres/table_ceres.html DataDate = the date of the data included in the file. For the SRBAVG, this date is in the format YYYYMMDDHH where: YYYY = the four-digit data year, MM = the two-digit month DD = the two-digit day HH = the two-digit hour (00-23) 4.0 Science Parameters Information Refer to the SRBAVG CERES Data Products Catalog pages included with this package (listed under Section 3.1) for the following information for each science parameter: Name Units Type (integer, real, character, etc...) Ranges (minimum and maximum values) Fill values / bad data flags 5.0 Description of Sample Read Software The sample read software in this package is intended only as an example. As both the number of SDSs and Vdatas that make up the SRBAVG product and the number of data records contained on an actual SRBAVG file are large, the sample software only demonstrates reading a limited number of SDSs for the five regions included in the sample SRBAVG file. The contents of the SRBAVG region, along with a list of all the SDS(s) contained on the SRBAVG product, are described in the Data Products Catalog pages discussed in Section 2.12. A note to the user: It is recommended that before modifiying the SRBAVG read program to read different SRBAVG parameters, the user should first compile and run the SRBAVG read program using the sample SRBAVG file as input and compare the results that are created by the read program for each SDS/parameter with the list of values for corresponding parameters in the SRBAVG sample dump file,'CER_SRBAVG_Sample_R4V1.dump'. If this test is successful, then the user should modify the the SRBAVG read program or their own software to read the parameters in which they are interested and run that software using the Sample SRBAVG as input. The values read should be compared to the values of the corresponding parameters in the sample dump file. If both of these test are successful, then the user will be ready to use their altered program with a full size SRBAVG data file. 6.0 Implementing Sample Read Software 6.1 Compiling the Sample Read Software 1. Download and install the HDF libraries from the NCSA web site http://hdf.ncsa.uiuc.edu This code uses version HDF4.1r5. Other versions of the HDF libraries may not work with this code. NCSA uses the GNU gzip compression utility for some packages. If necessary, the software needed to uncompress the file can be obtained from one of the GNU mirror sites listed at the URL: http://www.gnu.org/order/ftp.html 2. Edit the sample script 'compile_SRBAVG_readhdf' to link the HDF libraries and compile the C programs. Check the permissions on this file to make sure execute permission is set for the owner by typing at the command line (denoted by ">"): > ls -l compile_SRBAVG_readhdf A line similar to the following will be displayed: -rwxr--r-- 1 OWNER GROUP 1450 Mar 6 14:49 compile_SRBAVG_readhdf where OWNER and GROUP are the file owner and group information. The owner executable permission is the x in -rwxr--r--. To set the proper permissions, at the command line type: > chmod 744 compile_SRBAVG_readhdf 3. Execute the script 'compile_SRBAVG_readhdf' to create the executable SRBAVG_rd by typing at the command line: > source compile_SRBAVG_readhdf or, on some systems, type: > compile_SRBAVG_readhdf 6.2 How to Run the Sample Read Software Execute SRBAVG_rd by typing at the command line: > SRBAVG_rd CER_SRBAVG_Sample_R4V1 7.0 Sample Output The following is the screen output generated from executing the SRBAVG_rd program with the provided sample file. *************** SRBAVG1 ******************************* > ./SRBAVG_rd CER_SRBAVG1_Sample_R4V1 Name of HDF file to be read: < CER_SRBAVG1_Sample_R4V1 SRBAVG_file 1:CER_SRBAVG1_Sample_R4V1 Name of 5-region SRBAVG HDF file to be read: < CER_SRBAVG1_Sample_R4V1 ********************************************************* * Start Example 1 * ********************************************************* ********************************************************* * Example 1: ( ONLY PRINTING MAX OF 5 PER LAT ZONE) * ********************************************************* Colatitude for Lat Zone 1 Longitude Region (1)[1] = 0.000000 Longitude Region (2)[2] = 0.000000 Longitude Region (3)[3] = 0.000000 Longitude Region (4)[4] = 0.000000 Longitude Region (5)[5] = 0.000000 Colatitude for Lat Zone 2 Longitude Region (1)[6] = 1.555544 Longitude Region (2)[7] = 1.555544 Longitude Region (3)[8] = 1.555544 Longitude Region (4)[9] = 1.555544 Longitude Region (5)[10] = 1.555544 Colatitude for Lat Zone 3 Longitude Region (1)[11] = 2.533313 Longitude Region (2)[12] = 2.533313 Longitude Region (3)[13] = 2.533313 Longitude Region (4)[14] = 2.533313 Longitude Region (5)[15] = 2.533313 Colatitude for Lat Zone 4 Longitude Region (1)[16] = 3.523781 Longitude Region (2)[17] = 3.523781 Longitude Region (3)[18] = 3.523781 Longitude Region (4)[19] = 3.523781 Longitude Region (5)[20] = 3.523781 Colatitude for Lat Zone 5 Longitude Region (1)[21] = 4.518481 Longitude Region (2)[22] = 4.518481 Longitude Region (3)[23] = 4.518481 Longitude Region (4)[24] = 4.518481 Longitude Region (5)[25] = 4.518481 ********************************************************* * Start Example 2 * ********************************************************* SDS: "Surface Type Percent Coverage" Rank: "3" type: "5" sds_dims[0]: "20" sds_dims[1]: "5" sds_dims[2]: "5" ************************************************************ * Example 2: ( ONLY PRINTING MAX OF 5 PER DIMENSION) * ************************************************************ Surface Type Percent Coverage for type = 1 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[1] = 0.000000 Longitude Region (2)[2] = 0.000000 Longitude Region (3)[3] = 0.000000 Longitude Region (4)[4] = 0.000000 Longitude Region (5)[5] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[6] = 0.000000 Longitude Region (2)[7] = 0.000000 Longitude Region (3)[8] = 0.000000 Longitude Region (4)[9] = 0.000000 Longitude Region (5)[10] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[11] = 0.000000 Longitude Region (2)[12] = 0.000000 Longitude Region (3)[13] = 0.000000 Longitude Region (4)[14] = 0.000000 Longitude Region (5)[15] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[16] = 0.000000 Longitude Region (2)[17] = 0.000000 Longitude Region (3)[18] = 0.000000 Longitude Region (4)[19] = 0.000000 Longitude Region (5)[20] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[21] = 0.000000 Longitude Region (2)[22] = 0.000000 Longitude Region (3)[23] = 0.000000 Longitude Region (4)[24] = 0.000000 Longitude Region (5)[25] = 0.000000 Surface Type Percent Coverage for type = 2 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[26] = 0.000000 Longitude Region (2)[27] = 0.000000 Longitude Region (3)[28] = 0.000000 Longitude Region (4)[29] = 0.000000 Longitude Region (5)[30] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[31] = 0.000000 Longitude Region (2)[32] = 0.000000 Longitude Region (3)[33] = 0.000000 Longitude Region (4)[34] = 0.000000 Longitude Region (5)[35] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[36] = 0.000000 Longitude Region (2)[37] = 0.000000 Longitude Region (3)[38] = 0.000000 Longitude Region (4)[39] = 0.000000 Longitude Region (5)[40] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[41] = 0.000000 Longitude Region (2)[42] = 0.000000 Longitude Region (3)[43] = 0.000000 Longitude Region (4)[44] = 0.000000 Longitude Region (5)[45] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[46] = 0.000000 Longitude Region (2)[47] = 0.000000 Longitude Region (3)[48] = 0.000000 Longitude Region (4)[49] = 0.000000 Longitude Region (5)[50] = 0.000000 Surface Type Percent Coverage for type = 3 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[51] = 0.000000 Longitude Region (2)[52] = 0.000000 Longitude Region (3)[53] = 0.000000 Longitude Region (4)[54] = 0.000000 Longitude Region (5)[55] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[56] = 0.000000 Longitude Region (2)[57] = 0.000000 Longitude Region (3)[58] = 0.000000 Longitude Region (4)[59] = 0.000000 Longitude Region (5)[60] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[61] = 0.000000 Longitude Region (2)[62] = 0.000000 Longitude Region (3)[63] = 0.000000 Longitude Region (4)[64] = 0.000000 Longitude Region (5)[65] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[66] = 0.000000 Longitude Region (2)[67] = 0.000000 Longitude Region (3)[68] = 0.000000 Longitude Region (4)[69] = 0.000000 Longitude Region (5)[70] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[71] = 0.000000 Longitude Region (2)[72] = 0.000000 Longitude Region (3)[73] = 0.000000 Longitude Region (4)[74] = 0.000000 Longitude Region (5)[75] = 0.000000 Surface Type Percent Coverage for type = 4 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[76] = 0.000000 Longitude Region (2)[77] = 0.000000 Longitude Region (3)[78] = 0.000000 Longitude Region (4)[79] = 0.000000 Longitude Region (5)[80] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[81] = 0.000000 Longitude Region (2)[82] = 0.000000 Longitude Region (3)[83] = 0.000000 Longitude Region (4)[84] = 0.000000 Longitude Region (5)[85] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[86] = 0.000000 Longitude Region (2)[87] = 0.000000 Longitude Region (3)[88] = 0.000000 Longitude Region (4)[89] = 0.000000 Longitude Region (5)[90] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[91] = 0.000000 Longitude Region (2)[92] = 0.000000 Longitude Region (3)[93] = 0.000000 Longitude Region (4)[94] = 0.000000 Longitude Region (5)[95] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[96] = 0.000000 Longitude Region (2)[97] = 0.000000 Longitude Region (3)[98] = 0.000000 Longitude Region (4)[99] = 0.000000 Longitude Region (5)[100] = 0.000000 Surface Type Percent Coverage for type = 5 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[101] = 0.000000 Longitude Region (2)[102] = 0.000000 Longitude Region (3)[103] = 0.000000 Longitude Region (4)[104] = 0.000000 Longitude Region (5)[105] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[106] = 0.000000 Longitude Region (2)[107] = 0.000000 Longitude Region (3)[108] = 0.000000 Longitude Region (4)[109] = 0.000000 Longitude Region (5)[110] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[111] = 0.000000 Longitude Region (2)[112] = 0.000000 Longitude Region (3)[113] = 0.000000 Longitude Region (4)[114] = 0.000000 Longitude Region (5)[115] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[116] = 0.000000 Longitude Region (2)[117] = 0.000000 Longitude Region (3)[118] = 0.000000 Longitude Region (4)[119] = 0.000000 Longitude Region (5)[120] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[121] = 0.000000 Longitude Region (2)[122] = 0.000000 Longitude Region (3)[123] = 0.000000 Longitude Region (4)[124] = 0.000000 Longitude Region (5)[125] = 0.000000 Surface Type Percent Coverage for type = 6 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[126] = 0.000000 Longitude Region (2)[127] = 0.000000 Longitude Region (3)[128] = 0.000000 Longitude Region (4)[129] = 0.000000 Longitude Region (5)[130] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[131] = 0.000000 Longitude Region (2)[132] = 0.000000 Longitude Region (3)[133] = 0.000000 Longitude Region (4)[134] = 0.000000 Longitude Region (5)[135] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[136] = 0.000000 Longitude Region (2)[137] = 0.000000 Longitude Region (3)[138] = 0.000000 Longitude Region (4)[139] = 0.000000 Longitude Region (5)[140] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[141] = 0.000000 Longitude Region (2)[142] = 0.000000 Longitude Region (3)[143] = 0.000000 Longitude Region (4)[144] = 0.000000 Longitude Region (5)[145] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[146] = 0.000000 Longitude Region (2)[147] = 0.000000 Longitude Region (3)[148] = 0.000000 Longitude Region (4)[149] = 0.000000 Longitude Region (5)[150] = 0.000000 Surface Type Percent Coverage for type = 7 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[151] = 0.000000 Longitude Region (2)[152] = 0.000000 Longitude Region (3)[153] = 0.000000 Longitude Region (4)[154] = 0.000000 Longitude Region (5)[155] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[156] = 0.000000 Longitude Region (2)[157] = 0.000000 Longitude Region (3)[158] = 0.000000 Longitude Region (4)[159] = 0.000000 Longitude Region (5)[160] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[161] = 0.000000 Longitude Region (2)[162] = 0.000000 Longitude Region (3)[163] = 0.000000 Longitude Region (4)[164] = 0.000000 Longitude Region (5)[165] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[166] = 0.000000 Longitude Region (2)[167] = 0.000000 Longitude Region (3)[168] = 0.000000 Longitude Region (4)[169] = 0.000000 Longitude Region (5)[170] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[171] = 0.000000 Longitude Region (2)[172] = 0.000000 Longitude Region (3)[173] = 0.000000 Longitude Region (4)[174] = 0.000000 Longitude Region (5)[175] = 0.000000 Surface Type Percent Coverage for type = 8 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[176] = 0.000000 Longitude Region (2)[177] = 0.000000 Longitude Region (3)[178] = 0.000000 Longitude Region (4)[179] = 0.000000 Longitude Region (5)[180] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[181] = 0.000000 Longitude Region (2)[182] = 0.000000 Longitude Region (3)[183] = 0.000000 Longitude Region (4)[184] = 0.000000 Longitude Region (5)[185] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[186] = 0.000000 Longitude Region (2)[187] = 0.000000 Longitude Region (3)[188] = 0.000000 Longitude Region (4)[189] = 0.000000 Longitude Region (5)[190] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[191] = 0.000000 Longitude Region (2)[192] = 0.000000 Longitude Region (3)[193] = 0.000000 Longitude Region (4)[194] = 0.000000 Longitude Region (5)[195] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[196] = 0.000000 Longitude Region (2)[197] = 0.000000 Longitude Region (3)[198] = 0.000000 Longitude Region (4)[199] = 0.000000 Longitude Region (5)[200] = 0.000000 Surface Type Percent Coverage for type = 9 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[201] = 0.000000 Longitude Region (2)[202] = 0.000000 Longitude Region (3)[203] = 0.000000 Longitude Region (4)[204] = 0.000000 Longitude Region (5)[205] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[206] = 0.000000 Longitude Region (2)[207] = 0.000000 Longitude Region (3)[208] = 0.000000 Longitude Region (4)[209] = 0.000000 Longitude Region (5)[210] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[211] = 0.000000 Longitude Region (2)[212] = 0.000000 Longitude Region (3)[213] = 0.000000 Longitude Region (4)[214] = 0.000000 Longitude Region (5)[215] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[216] = 0.000000 Longitude Region (2)[217] = 0.000000 Longitude Region (3)[218] = 0.000000 Longitude Region (4)[219] = 0.000000 Longitude Region (5)[220] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[221] = 0.000000 Longitude Region (2)[222] = 0.000000 Longitude Region (3)[223] = 0.000000 Longitude Region (4)[224] = 0.000000 Longitude Region (5)[225] = 0.000000 Surface Type Percent Coverage for type = 10 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[226] = 0.000000 Longitude Region (2)[227] = 0.000000 Longitude Region (3)[228] = 0.000000 Longitude Region (4)[229] = 0.000000 Longitude Region (5)[230] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[231] = 0.000000 Longitude Region (2)[232] = 0.000000 Longitude Region (3)[233] = 0.000000 Longitude Region (4)[234] = 0.000000 Longitude Region (5)[235] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[236] = 0.000000 Longitude Region (2)[237] = 0.000000 Longitude Region (3)[238] = 0.000000 Longitude Region (4)[239] = 0.000000 Longitude Region (5)[240] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[241] = 0.000000 Longitude Region (2)[242] = 0.000000 Longitude Region (3)[243] = 0.000000 Longitude Region (4)[244] = 0.000000 Longitude Region (5)[245] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[246] = 0.000000 Longitude Region (2)[247] = 0.000000 Longitude Region (3)[248] = 0.000000 Longitude Region (4)[249] = 0.000000 Longitude Region (5)[250] = 0.000000 Surface Type Percent Coverage for type = 11 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[251] = 0.000000 Longitude Region (2)[252] = 0.000000 Longitude Region (3)[253] = 0.000000 Longitude Region (4)[254] = 0.000000 Longitude Region (5)[255] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[256] = 0.000000 Longitude Region (2)[257] = 0.000000 Longitude Region (3)[258] = 0.000000 Longitude Region (4)[259] = 0.000000 Longitude Region (5)[260] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[261] = 0.000000 Longitude Region (2)[262] = 0.000000 Longitude Region (3)[263] = 0.000000 Longitude Region (4)[264] = 0.000000 Longitude Region (5)[265] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[266] = 0.000000 Longitude Region (2)[267] = 0.000000 Longitude Region (3)[268] = 0.000000 Longitude Region (4)[269] = 0.000000 Longitude Region (5)[270] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[271] = 0.000000 Longitude Region (2)[272] = 0.000000 Longitude Region (3)[273] = 0.000000 Longitude Region (4)[274] = 0.000000 Longitude Region (5)[275] = 0.000000 Surface Type Percent Coverage for type = 12 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[276] = 0.000000 Longitude Region (2)[277] = 0.000000 Longitude Region (3)[278] = 0.000000 Longitude Region (4)[279] = 0.000000 Longitude Region (5)[280] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[281] = 0.000000 Longitude Region (2)[282] = 0.000000 Longitude Region (3)[283] = 0.000000 Longitude Region (4)[284] = 0.000000 Longitude Region (5)[285] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[286] = 0.000000 Longitude Region (2)[287] = 0.000000 Longitude Region (3)[288] = 0.000000 Longitude Region (4)[289] = 0.000000 Longitude Region (5)[290] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[291] = 0.000000 Longitude Region (2)[292] = 0.000000 Longitude Region (3)[293] = 0.000000 Longitude Region (4)[294] = 0.000000 Longitude Region (5)[295] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[296] = 0.000000 Longitude Region (2)[297] = 0.000000 Longitude Region (3)[298] = 0.000000 Longitude Region (4)[299] = 0.000000 Longitude Region (5)[300] = 0.000000 Surface Type Percent Coverage for type = 13 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[301] = 0.000000 Longitude Region (2)[302] = 0.000000 Longitude Region (3)[303] = 0.000000 Longitude Region (4)[304] = 0.000000 Longitude Region (5)[305] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[306] = 0.000000 Longitude Region (2)[307] = 0.000000 Longitude Region (3)[308] = 0.000000 Longitude Region (4)[309] = 0.000000 Longitude Region (5)[310] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[311] = 0.000000 Longitude Region (2)[312] = 0.000000 Longitude Region (3)[313] = 0.000000 Longitude Region (4)[314] = 0.000000 Longitude Region (5)[315] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[316] = 0.000000 Longitude Region (2)[317] = 0.000000 Longitude Region (3)[318] = 0.000000 Longitude Region (4)[319] = 0.000000 Longitude Region (5)[320] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[321] = 0.000000 Longitude Region (2)[322] = 0.000000 Longitude Region (3)[323] = 0.000000 Longitude Region (4)[324] = 0.000000 Longitude Region (5)[325] = 0.000000 Surface Type Percent Coverage for type = 14 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[326] = 0.000000 Longitude Region (2)[327] = 0.000000 Longitude Region (3)[328] = 0.000000 Longitude Region (4)[329] = 0.000000 Longitude Region (5)[330] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[331] = 0.000000 Longitude Region (2)[332] = 0.000000 Longitude Region (3)[333] = 0.000000 Longitude Region (4)[334] = 0.000000 Longitude Region (5)[335] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[336] = 0.000000 Longitude Region (2)[337] = 0.000000 Longitude Region (3)[338] = 0.000000 Longitude Region (4)[339] = 0.000000 Longitude Region (5)[340] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[341] = 0.000000 Longitude Region (2)[342] = 0.000000 Longitude Region (3)[343] = 0.000000 Longitude Region (4)[344] = 0.000000 Longitude Region (5)[345] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[346] = 0.000000 Longitude Region (2)[347] = 0.000000 Longitude Region (3)[348] = 0.000000 Longitude Region (4)[349] = 0.000000 Longitude Region (5)[350] = 0.000000 Surface Type Percent Coverage for type = 15 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[351] = 0.000000 Longitude Region (2)[352] = 0.000000 Longitude Region (3)[353] = 0.000000 Longitude Region (4)[354] = 0.000000 Longitude Region (5)[355] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[356] = 0.000000 Longitude Region (2)[357] = 0.000000 Longitude Region (3)[358] = 0.000000 Longitude Region (4)[359] = 0.000000 Longitude Region (5)[360] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[361] = 0.000000 Longitude Region (2)[362] = 0.000000 Longitude Region (3)[363] = 0.000000 Longitude Region (4)[364] = 0.000000 Longitude Region (5)[365] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[366] = 0.000000 Longitude Region (2)[367] = 0.000000 Longitude Region (3)[368] = 0.000000 Longitude Region (4)[369] = 0.000000 Longitude Region (5)[370] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[371] = 0.000000 Longitude Region (2)[372] = 0.000000 Longitude Region (3)[373] = 0.000000 Longitude Region (4)[374] = 0.000000 Longitude Region (5)[375] = 0.000000 Surface Type Percent Coverage for type = 16 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[376] = 0.000000 Longitude Region (2)[377] = 0.000000 Longitude Region (3)[378] = 0.000000 Longitude Region (4)[379] = 0.000000 Longitude Region (5)[380] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[381] = 0.000000 Longitude Region (2)[382] = 0.000000 Longitude Region (3)[383] = 0.000000 Longitude Region (4)[384] = 0.000000 Longitude Region (5)[385] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[386] = 0.000000 Longitude Region (2)[387] = 0.000000 Longitude Region (3)[388] = 0.000000 Longitude Region (4)[389] = 0.000000 Longitude Region (5)[390] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[391] = 0.000000 Longitude Region (2)[392] = 0.000000 Longitude Region (3)[393] = 0.000000 Longitude Region (4)[394] = 0.000000 Longitude Region (5)[395] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[396] = 0.000000 Longitude Region (2)[397] = 0.000000 Longitude Region (3)[398] = 0.000000 Longitude Region (4)[399] = 0.000000 Longitude Region (5)[400] = 0.000000 Surface Type Percent Coverage for type = 17 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[401] = 0.000078 Longitude Region (2)[402] = 0.000078 Longitude Region (3)[403] = 0.000078 Longitude Region (4)[404] = 0.000078 Longitude Region (5)[405] = 0.000078 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[406] = 0.006048 Longitude Region (2)[407] = 0.006048 Longitude Region (3)[408] = 0.006048 Longitude Region (4)[409] = 0.006048 Longitude Region (5)[410] = 0.006048 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[411] = 3.871266 Longitude Region (2)[412] = 3.871266 Longitude Region (3)[413] = 3.871266 Longitude Region (4)[414] = 3.871266 Longitude Region (5)[415] = 3.871266 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[416] = 7.863188 Longitude Region (2)[417] = 7.863188 Longitude Region (3)[418] = 7.863188 Longitude Region (4)[419] = 7.863188 Longitude Region (5)[420] = 7.863188 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[421] = 6.892921 Longitude Region (2)[422] = 6.892921 Longitude Region (3)[423] = 6.892921 Longitude Region (4)[424] = 6.892921 Longitude Region (5)[425] = 6.892921 Surface Type Percent Coverage for type = 18 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[426] = 0.000000 Longitude Region (2)[427] = 0.000000 Longitude Region (3)[428] = 0.000000 Longitude Region (4)[429] = 0.000000 Longitude Region (5)[430] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[431] = 0.000000 Longitude Region (2)[432] = 0.000000 Longitude Region (3)[433] = 0.000000 Longitude Region (4)[434] = 0.000000 Longitude Region (5)[435] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[436] = 0.000000 Longitude Region (2)[437] = 0.000000 Longitude Region (3)[438] = 0.000000 Longitude Region (4)[439] = 0.000000 Longitude Region (5)[440] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[441] = 0.000000 Longitude Region (2)[442] = 0.000000 Longitude Region (3)[443] = 0.000000 Longitude Region (4)[444] = 0.000000 Longitude Region (5)[445] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[446] = 0.000000 Longitude Region (2)[447] = 0.000000 Longitude Region (3)[448] = 0.000000 Longitude Region (4)[449] = 0.000000 Longitude Region (5)[450] = 0.000000 Surface Type Percent Coverage for type = 19 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[451] = 0.000000 Longitude Region (2)[452] = 0.000000 Longitude Region (3)[453] = 0.000000 Longitude Region (4)[454] = 0.000000 Longitude Region (5)[455] = 0.000000 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[456] = 0.000000 Longitude Region (2)[457] = 0.000000 Longitude Region (3)[458] = 0.000000 Longitude Region (4)[459] = 0.000000 Longitude Region (5)[460] = 0.000000 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[461] = 0.000000 Longitude Region (2)[462] = 0.000000 Longitude Region (3)[463] = 0.000000 Longitude Region (4)[464] = 0.000000 Longitude Region (5)[465] = 0.000000 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[466] = 0.000000 Longitude Region (2)[467] = 0.000000 Longitude Region (3)[468] = 0.000000 Longitude Region (4)[469] = 0.000000 Longitude Region (5)[470] = 0.000000 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[471] = 0.000000 Longitude Region (2)[472] = 0.000000 Longitude Region (3)[473] = 0.000000 Longitude Region (4)[474] = 0.000000 Longitude Region (5)[475] = 0.000000 Surface Type Percent Coverage for type = 20 Surface Type Percent Coverage for Lat Zone 1 Longitude Region (1)[476] = 99.999916 Longitude Region (2)[477] = 99.999916 Longitude Region (3)[478] = 99.999916 Longitude Region (4)[479] = 99.999916 Longitude Region (5)[480] = 99.999916 Surface Type Percent Coverage for Lat Zone 2 Longitude Region (1)[481] = 99.993950 Longitude Region (2)[482] = 99.993950 Longitude Region (3)[483] = 99.993950 Longitude Region (4)[484] = 99.993950 Longitude Region (5)[485] = 99.993950 Surface Type Percent Coverage for Lat Zone 3 Longitude Region (1)[486] = 96.128761 Longitude Region (2)[487] = 96.128761 Longitude Region (3)[488] = 96.128761 Longitude Region (4)[489] = 96.128761 Longitude Region (5)[490] = 96.128761 Surface Type Percent Coverage for Lat Zone 4 Longitude Region (1)[491] = 92.136864 Longitude Region (2)[492] = 92.136864 Longitude Region (3)[493] = 92.136864 Longitude Region (4)[494] = 92.136864 Longitude Region (5)[495] = 92.136864 Surface Type Percent Coverage for Lat Zone 5 Longitude Region (1)[496] = 93.107170 Longitude Region (2)[497] = 93.107170 Longitude Region (3)[498] = 93.107170 Longitude Region (4)[499] = 93.107170 Longitude Region (5)[500] = 93.107170 ********************************************************* * Start Example 3 * ********************************************************* SDS: "Total-sky TOA LW Flux - Raw Data Average" Rank: "4" type: "5" sds_dims[0]: "3" sds_dims[1]: "24" sds_dims[2]: "5" sds_dims[3]: "5" ************************************************************ * Example 3: ( ONLY PRINTING MAX OF 5 PER DIMENSION) * ************************************************************ Total-sky TOA LW Flux - Raw Data Average Stat type = 1 MEAN Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 1 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[1] = 229.938660 Longitude Region (2)[2] = 229.938660 Longitude Region (3)[3] = 229.938660 Longitude Region (4)[4] = 229.938660 Longitude Region (5)[5] = 229.938660 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[6] = 226.051193 Longitude Region (2)[7] = 226.051193 Longitude Region (3)[8] = 226.051193 Longitude Region (4)[9] = 226.051193 Longitude Region (5)[10] = 226.051193 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[11] = 220.441055 Longitude Region (2)[12] = 220.441055 Longitude Region (3)[13] = 220.441055 Longitude Region (4)[14] = 220.441055 Longitude Region (5)[15] = 220.441055 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[16] = 220.059616 Longitude Region (2)[17] = 220.059616 Longitude Region (3)[18] = 220.059616 Longitude Region (4)[19] = 220.059616 Longitude Region (5)[20] = 220.059616 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[21] = 224.005203 Longitude Region (2)[22] = 224.005203 Longitude Region (3)[23] = 224.005203 Longitude Region (4)[24] = 224.005203 Longitude Region (5)[25] = 224.005203 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 2 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[26] = 228.608185 Longitude Region (2)[27] = 228.608185 Longitude Region (3)[28] = 228.608185 Longitude Region (4)[29] = 228.608185 Longitude Region (5)[30] = 228.608185 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[31] = 224.908875 Longitude Region (2)[32] = 224.908875 Longitude Region (3)[33] = 224.908875 Longitude Region (4)[34] = 224.908875 Longitude Region (5)[35] = 224.908875 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[36] = 223.947418 Longitude Region (2)[37] = 223.947418 Longitude Region (3)[38] = 223.947418 Longitude Region (4)[39] = 223.947418 Longitude Region (5)[40] = 223.947418 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[41] = 220.546631 Longitude Region (2)[42] = 220.546631 Longitude Region (3)[43] = 220.546631 Longitude Region (4)[44] = 220.546631 Longitude Region (5)[45] = 220.546631 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[46] = 222.314835 Longitude Region (2)[47] = 222.314835 Longitude Region (3)[48] = 222.314835 Longitude Region (4)[49] = 222.314835 Longitude Region (5)[50] = 222.314835 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 3 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[51] = 227.957275 Longitude Region (2)[52] = 227.957275 Longitude Region (3)[53] = 227.957275 Longitude Region (4)[54] = 227.957275 Longitude Region (5)[55] = 227.957275 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[56] = 227.164841 Longitude Region (2)[57] = 227.164841 Longitude Region (3)[58] = 227.164841 Longitude Region (4)[59] = 227.164841 Longitude Region (5)[60] = 227.164841 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[61] = 222.847275 Longitude Region (2)[62] = 222.847275 Longitude Region (3)[63] = 222.847275 Longitude Region (4)[64] = 222.847275 Longitude Region (5)[65] = 222.847275 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[66] = 219.105911 Longitude Region (2)[67] = 219.105911 Longitude Region (3)[68] = 219.105911 Longitude Region (4)[69] = 219.105911 Longitude Region (5)[70] = 219.105911 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[71] = 218.558868 Longitude Region (2)[72] = 218.558868 Longitude Region (3)[73] = 218.558868 Longitude Region (4)[74] = 218.558868 Longitude Region (5)[75] = 218.558868 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 4 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[76] = 227.806366 Longitude Region (2)[77] = 227.806366 Longitude Region (3)[78] = 227.806366 Longitude Region (4)[79] = 227.806366 Longitude Region (5)[80] = 227.806366 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[81] = 226.784180 Longitude Region (2)[82] = 226.784180 Longitude Region (3)[83] = 226.784180 Longitude Region (4)[84] = 226.784180 Longitude Region (5)[85] = 226.784180 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[86] = 222.680344 Longitude Region (2)[87] = 222.680344 Longitude Region (3)[88] = 222.680344 Longitude Region (4)[89] = 222.680344 Longitude Region (5)[90] = 222.680344 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[91] = 220.610489 Longitude Region (2)[92] = 220.610489 Longitude Region (3)[93] = 220.610489 Longitude Region (4)[94] = 220.610489 Longitude Region (5)[95] = 220.610489 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[96] = 213.570602 Longitude Region (2)[97] = 213.570602 Longitude Region (3)[98] = 213.570602 Longitude Region (4)[99] = 213.570602 Longitude Region (5)[100] = 213.570602 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 5 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[101] = 227.343201 Longitude Region (2)[102] = 227.343201 Longitude Region (3)[103] = 227.343201 Longitude Region (4)[104] = 227.343201 Longitude Region (5)[105] = 227.343201 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[106] = 227.673523 Longitude Region (2)[107] = 227.673523 Longitude Region (3)[108] = 227.673523 Longitude Region (4)[109] = 227.673523 Longitude Region (5)[110] = 227.673523 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[111] = 225.151825 Longitude Region (2)[112] = 225.151825 Longitude Region (3)[113] = 225.151825 Longitude Region (4)[114] = 225.151825 Longitude Region (5)[115] = 225.151825 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[116] = 218.125183 Longitude Region (2)[117] = 218.125183 Longitude Region (3)[118] = 218.125183 Longitude Region (4)[119] = 218.125183 Longitude Region (5)[120] = 218.125183 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[121] = 215.220612 Longitude Region (2)[122] = 215.220612 Longitude Region (3)[123] = 215.220612 Longitude Region (4)[124] = 215.220612 Longitude Region (5)[125] = 215.220612 Total-sky TOA LW Flux - Raw Data Average Stat type = 2 STANDARD DEVIATION Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 1 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[601] = 10.402524 Longitude Region (2)[602] = 10.402524 Longitude Region (3)[603] = 10.402524 Longitude Region (4)[604] = 10.402524 Longitude Region (5)[605] = 10.402524 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[606] = 11.549562 Longitude Region (2)[607] = 11.549562 Longitude Region (3)[608] = 11.549562 Longitude Region (4)[609] = 11.549562 Longitude Region (5)[610] = 11.549562 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[611] = 13.017866 Longitude Region (2)[612] = 13.017866 Longitude Region (3)[613] = 13.017866 Longitude Region (4)[614] = 13.017866 Longitude Region (5)[615] = 13.017866 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[616] = 13.074158 Longitude Region (2)[617] = 13.074158 Longitude Region (3)[618] = 13.074158 Longitude Region (4)[619] = 13.074158 Longitude Region (5)[620] = 13.074158 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[621] = 11.446547 Longitude Region (2)[622] = 11.446547 Longitude Region (3)[623] = 11.446547 Longitude Region (4)[624] = 11.446547 Longitude Region (5)[625] = 11.446547 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 2 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[626] = 7.023557 Longitude Region (2)[627] = 7.023557 Longitude Region (3)[628] = 7.023557 Longitude Region (4)[629] = 7.023557 Longitude Region (5)[630] = 7.023557 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[631] = 9.302938 Longitude Region (2)[632] = 9.302938 Longitude Region (3)[633] = 9.302938 Longitude Region (4)[634] = 9.302938 Longitude Region (5)[635] = 9.302938 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[636] = 11.861741 Longitude Region (2)[637] = 11.861741 Longitude Region (3)[638] = 11.861741 Longitude Region (4)[639] = 11.861741 Longitude Region (5)[640] = 11.861741 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[641] = 14.378949 Longitude Region (2)[642] = 14.378949 Longitude Region (3)[643] = 14.378949 Longitude Region (4)[644] = 14.378949 Longitude Region (5)[645] = 14.378949 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[646] = 14.608020 Longitude Region (2)[647] = 14.608020 Longitude Region (3)[648] = 14.608020 Longitude Region (4)[649] = 14.608020 Longitude Region (5)[650] = 14.608020 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 3 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[651] = 10.689144 Longitude Region (2)[652] = 10.689144 Longitude Region (3)[653] = 10.689144 Longitude Region (4)[654] = 10.689144 Longitude Region (5)[655] = 10.689144 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[656] = 12.215512 Longitude Region (2)[657] = 12.215512 Longitude Region (3)[658] = 12.215512 Longitude Region (4)[659] = 12.215512 Longitude Region (5)[660] = 12.215512 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[661] = 12.076394 Longitude Region (2)[662] = 12.076394 Longitude Region (3)[663] = 12.076394 Longitude Region (4)[664] = 12.076394 Longitude Region (5)[665] = 12.076394 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[666] = 12.680429 Longitude Region (2)[667] = 12.680429 Longitude Region (3)[668] = 12.680429 Longitude Region (4)[669] = 12.680429 Longitude Region (5)[670] = 12.680429 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[671] = 14.832573 Longitude Region (2)[672] = 14.832573 Longitude Region (3)[673] = 14.832573 Longitude Region (4)[674] = 14.832573 Longitude Region (5)[675] = 14.832573 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 4 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[676] = 11.022299 Longitude Region (2)[677] = 11.022299 Longitude Region (3)[678] = 11.022299 Longitude Region (4)[679] = 11.022299 Longitude Region (5)[680] = 11.022299 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[681] = 8.327826 Longitude Region (2)[682] = 8.327826 Longitude Region (3)[683] = 8.327826 Longitude Region (4)[684] = 8.327826 Longitude Region (5)[685] = 8.327826 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[686] = 13.890837 Longitude Region (2)[687] = 13.890837 Longitude Region (3)[688] = 13.890837 Longitude Region (4)[689] = 13.890837 Longitude Region (5)[690] = 13.890837 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[691] = 13.117940 Longitude Region (2)[692] = 13.117940 Longitude Region (3)[693] = 13.117940 Longitude Region (4)[694] = 13.117940 Longitude Region (5)[695] = 13.117940 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[696] = 21.465712 Longitude Region (2)[697] = 21.465712 Longitude Region (3)[698] = 21.465712 Longitude Region (4)[699] = 21.465712 Longitude Region (5)[700] = 21.465712 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 5 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[701] = 9.363715 Longitude Region (2)[702] = 9.363715 Longitude Region (3)[703] = 9.363715 Longitude Region (4)[704] = 9.363715 Longitude Region (5)[705] = 9.363715 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[706] = 12.735449 Longitude Region (2)[707] = 12.735449 Longitude Region (3)[708] = 12.735449 Longitude Region (4)[709] = 12.735449 Longitude Region (5)[710] = 12.735449 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[711] = 10.688390 Longitude Region (2)[712] = 10.688390 Longitude Region (3)[713] = 10.688390 Longitude Region (4)[714] = 10.688390 Longitude Region (5)[715] = 10.688390 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[716] = 15.211016 Longitude Region (2)[717] = 15.211016 Longitude Region (3)[718] = 15.211016 Longitude Region (4)[719] = 15.211016 Longitude Region (5)[720] = 15.211016 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[721] = 19.092319 Longitude Region (2)[722] = 19.092319 Longitude Region (3)[723] = 19.092319 Longitude Region (4)[724] = 19.092319 Longitude Region (5)[725] = 19.092319 Total-sky TOA LW Flux - Raw Data Average Stat type = 3 NUMBER OF OBSERVATIONS Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 1 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[1201] = 11.000000 Longitude Region (2)[1202] = 11.000000 Longitude Region (3)[1203] = 11.000000 Longitude Region (4)[1204] = 11.000000 Longitude Region (5)[1205] = 11.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[1206] = 10.000000 Longitude Region (2)[1207] = 10.000000 Longitude Region (3)[1208] = 10.000000 Longitude Region (4)[1209] = 10.000000 Longitude Region (5)[1210] = 10.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[1211] = 17.000000 Longitude Region (2)[1212] = 17.000000 Longitude Region (3)[1213] = 17.000000 Longitude Region (4)[1214] = 17.000000 Longitude Region (5)[1215] = 17.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[1216] = 17.000000 Longitude Region (2)[1217] = 17.000000 Longitude Region (3)[1218] = 17.000000 Longitude Region (4)[1219] = 17.000000 Longitude Region (5)[1220] = 17.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[1221] = 17.000000 Longitude Region (2)[1222] = 17.000000 Longitude Region (3)[1223] = 17.000000 Longitude Region (4)[1224] = 17.000000 Longitude Region (5)[1225] = 17.000000 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 2 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[1226] = 15.000000 Longitude Region (2)[1227] = 15.000000 Longitude Region (3)[1228] = 15.000000 Longitude Region (4)[1229] = 15.000000 Longitude Region (5)[1230] = 15.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[1231] = 15.000000 Longitude Region (2)[1232] = 15.000000 Longitude Region (3)[1233] = 15.000000 Longitude Region (4)[1234] = 15.000000 Longitude Region (5)[1235] = 15.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[1236] = 15.000000 Longitude Region (2)[1237] = 15.000000 Longitude Region (3)[1238] = 15.000000 Longitude Region (4)[1239] = 15.000000 Longitude Region (5)[1240] = 15.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[1241] = 16.000000 Longitude Region (2)[1242] = 16.000000 Longitude Region (3)[1243] = 16.000000 Longitude Region (4)[1244] = 16.000000 Longitude Region (5)[1245] = 16.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[1246] = 14.000000 Longitude Region (2)[1247] = 14.000000 Longitude Region (3)[1248] = 14.000000 Longitude Region (4)[1249] = 14.000000 Longitude Region (5)[1250] = 14.000000 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 3 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[1251] = 17.000000 Longitude Region (2)[1252] = 17.000000 Longitude Region (3)[1253] = 17.000000 Longitude Region (4)[1254] = 17.000000 Longitude Region (5)[1255] = 17.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[1256] = 15.000000 Longitude Region (2)[1257] = 15.000000 Longitude Region (3)[1258] = 15.000000 Longitude Region (4)[1259] = 15.000000 Longitude Region (5)[1260] = 15.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[1261] = 15.000000 Longitude Region (2)[1262] = 15.000000 Longitude Region (3)[1263] = 15.000000 Longitude Region (4)[1264] = 15.000000 Longitude Region (5)[1265] = 15.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[1266] = 14.000000 Longitude Region (2)[1267] = 14.000000 Longitude Region (3)[1268] = 14.000000 Longitude Region (4)[1269] = 14.000000 Longitude Region (5)[1270] = 14.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[1271] = 13.000000 Longitude Region (2)[1272] = 13.000000 Longitude Region (3)[1273] = 13.000000 Longitude Region (4)[1274] = 13.000000 Longitude Region (5)[1275] = 13.000000 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 4 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[1276] = 15.000000 Longitude Region (2)[1277] = 15.000000 Longitude Region (3)[1278] = 15.000000 Longitude Region (4)[1279] = 15.000000 Longitude Region (5)[1280] = 15.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[1281] = 15.000000 Longitude Region (2)[1282] = 15.000000 Longitude Region (3)[1283] = 15.000000 Longitude Region (4)[1284] = 15.000000 Longitude Region (5)[1285] = 15.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[1286] = 15.000000 Longitude Region (2)[1287] = 15.000000 Longitude Region (3)[1288] = 15.000000 Longitude Region (4)[1289] = 15.000000 Longitude Region (5)[1290] = 15.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[1291] = 15.000000 Longitude Region (2)[1292] = 15.000000 Longitude Region (3)[1293] = 15.000000 Longitude Region (4)[1294] = 15.000000 Longitude Region (5)[1295] = 15.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[1296] = 15.000000 Longitude Region (2)[1297] = 15.000000 Longitude Region (3)[1298] = 15.000000 Longitude Region (4)[1299] = 15.000000 Longitude Region (5)[1300] = 15.000000 Total-sky TOA LW Flux - Raw Data Average for Monthly hourly avg 5 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[1301] = 16.000000 Longitude Region (2)[1302] = 16.000000 Longitude Region (3)[1303] = 16.000000 Longitude Region (4)[1304] = 16.000000 Longitude Region (5)[1305] = 16.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[1306] = 16.000000 Longitude Region (2)[1307] = 16.000000 Longitude Region (3)[1308] = 16.000000 Longitude Region (4)[1309] = 16.000000 Longitude Region (5)[1310] = 16.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[1311] = 16.000000 Longitude Region (2)[1312] = 16.000000 Longitude Region (3)[1313] = 16.000000 Longitude Region (4)[1314] = 16.000000 Longitude Region (5)[1315] = 16.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[1316] = 16.000000 Longitude Region (2)[1317] = 16.000000 Longitude Region (3)[1318] = 16.000000 Longitude Region (4)[1319] = 16.000000 Longitude Region (5)[1320] = 16.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[1321] = 16.000000 Longitude Region (2)[1322] = 16.000000 Longitude Region (3)[1323] = 16.000000 Longitude Region (4)[1324] = 16.000000 Longitude Region (5)[1325] = 16.000000 ********************************************************* * Start Example 4 * ********************************************************* SDS: "Total-sky TOA LW Flux - Raw Data Average" Rank: "4" type: "5" sds_dims[0]: "3" sds_dims[1]: "1" sds_dims[2]: "5" sds_dims[3]: "5" ************************************************************ * Example 4: ( iNLY PRINTING MAX OF 5 PER DIMENSION) * ************************************************************ Total-sky TOA LW Flux - Raw Data Average Stat type = 1 MEAN Total-sky TOA LW Flux - Raw Data Average for Monthly avg 1 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[1] = 228.859924 Longitude Region (2)[2] = 228.859924 Longitude Region (3)[3] = 228.859924 Longitude Region (4)[4] = 228.859924 Longitude Region (5)[5] = 228.859924 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[6] = 223.928421 Longitude Region (2)[7] = 223.928421 Longitude Region (3)[8] = 223.928421 Longitude Region (4)[9] = 223.928421 Longitude Region (5)[10] = 223.928421 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[11] = 222.386642 Longitude Region (2)[12] = 222.386642 Longitude Region (3)[13] = 222.386642 Longitude Region (4)[14] = 222.386642 Longitude Region (5)[15] = 222.386642 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[16] = 219.181946 Longitude Region (2)[17] = 219.181946 Longitude Region (3)[18] = 219.181946 Longitude Region (4)[19] = 219.181946 Longitude Region (5)[20] = 219.181946 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[21] = 219.325424 Longitude Region (2)[22] = 219.325424 Longitude Region (3)[23] = 219.325424 Longitude Region (4)[24] = 219.325424 Longitude Region (5)[25] = 219.325424 Total-sky TOA LW Flux - Raw Data Average Stat type = 2 STANDARD DEVIATION Total-sky TOA LW Flux - Raw Data Average for Monthly avg 1 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[26] = 1.772372 Longitude Region (2)[27] = 1.772372 Longitude Region (3)[28] = 1.772372 Longitude Region (4)[29] = 1.772372 Longitude Region (5)[30] = 1.772372 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[31] = 2.835144 Longitude Region (2)[32] = 2.835144 Longitude Region (3)[33] = 2.835144 Longitude Region (4)[34] = 2.835144 Longitude Region (5)[35] = 2.835144 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[36] = 2.131544 Longitude Region (2)[37] = 2.131544 Longitude Region (3)[38] = 2.131544 Longitude Region (4)[39] = 2.131544 Longitude Region (5)[40] = 2.131544 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[41] = 3.067980 Longitude Region (2)[42] = 3.067980 Longitude Region (3)[43] = 3.067980 Longitude Region (4)[44] = 3.067980 Longitude Region (5)[45] = 3.067980 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[46] = 2.905335 Longitude Region (2)[47] = 2.905335 Longitude Region (3)[48] = 2.905335 Longitude Region (4)[49] = 2.905335 Longitude Region (5)[50] = 2.905335 Total-sky TOA LW Flux - Raw Data Average Stat type = 3 NUMBER OF OBSERVATIONS Total-sky TOA LW Flux - Raw Data Average for Monthly avg 1 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 1 Longitude Region (1)[51] = 370.000000 Longitude Region (2)[52] = 370.000000 Longitude Region (3)[53] = 370.000000 Longitude Region (4)[54] = 370.000000 Longitude Region (5)[55] = 370.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 2 Longitude Region (1)[56] = 334.000000 Longitude Region (2)[57] = 334.000000 Longitude Region (3)[58] = 334.000000 Longitude Region (4)[59] = 334.000000 Longitude Region (5)[60] = 334.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 3 Longitude Region (1)[61] = 366.000000 Longitude Region (2)[62] = 366.000000 Longitude Region (3)[63] = 366.000000 Longitude Region (4)[64] = 366.000000 Longitude Region (5)[65] = 366.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 4 Longitude Region (1)[66] = 291.000000 Longitude Region (2)[67] = 291.000000 Longitude Region (3)[68] = 291.000000 Longitude Region (4)[69] = 291.000000 Longitude Region (5)[70] = 291.000000 Total-sky TOA LW Flux - Raw Data Average for Lat Zone 5 Longitude Region (1)[71] = 258.000000 Longitude Region (2)[72] = 258.000000 Longitude Region (3)[73] = 258.000000 Longitude Region (4)[74] = 258.000000 Longitude Region (5)[75] = 258.000000 ********************************************************* * Example 5: * ********************************************************* ASSOCIATEDPLATFORMSHORTNAME = Aqua *************** SRBAVG2 ******************************* > ./SRBAVG_rd CER_SRBAVG2_Sample_R4V1 Name of HDF file to be read: < CER_SRBAVG2_Sample_R4V1 ********************************************************* * Start Example 1 * ********************************************************* SDS: "Cloud Effective Pressure" Rank: "4" type: "5" sds_dims[0]: "3" sds_dims[1]: "24" sds_dims[2]: "5" sds_dims[3]: "5" ************************************************************ * Example 1: ( ONLY PRINTING MAX OF 5 PER DIMENSION) * ************************************************************ Cloud Effective Pressure Stat type = 1 MEAN Cloud Effective Pressure for Monthly Hourly Avg 1 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1] = 290.685425 Longitude Region (2)[2] = 290.685425 Longitude Region (3)[3] = 290.685425 Longitude Region (4)[4] = 290.685425 Longitude Region (5)[5] = 290.685425 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[6] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[7] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[8] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[9] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[10] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[11] = 276.143311 Longitude Region (2)[12] = 276.143311 Longitude Region (3)[13] = 276.143311 Longitude Region (4)[14] = 276.143311 Longitude Region (5)[15] = 276.143311 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[16] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[17] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[18] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[19] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[20] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[21] = 297.408722 Longitude Region (2)[22] = 297.408722 Longitude Region (3)[23] = 297.408722 Longitude Region (4)[24] = 297.408722 Longitude Region (5)[25] = 297.408722 Cloud Effective Pressure for Monthly Hourly Avg 2 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[26] = 291.729187 Longitude Region (2)[27] = 291.729187 Longitude Region (3)[28] = 291.729187 Longitude Region (4)[29] = 291.729187 Longitude Region (5)[30] = 291.729187 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[31] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[32] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[33] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[34] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[35] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[36] = 276.881500 Longitude Region (2)[37] = 276.881500 Longitude Region (3)[38] = 276.881500 Longitude Region (4)[39] = 276.881500 Longitude Region (5)[40] = 276.881500 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[41] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[42] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[43] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[44] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[45] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[46] = 297.408722 Longitude Region (2)[47] = 297.408722 Longitude Region (3)[48] = 297.408722 Longitude Region (4)[49] = 297.408722 Longitude Region (5)[50] = 297.408722 Cloud Effective Pressure for Monthly Hourly Avg 3 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[51] = 285.475616 Longitude Region (2)[52] = 285.475616 Longitude Region (3)[53] = 285.475616 Longitude Region (4)[54] = 285.475616 Longitude Region (5)[55] = 285.475616 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[56] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[57] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[58] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[59] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[60] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[61] = 276.892700 Longitude Region (2)[62] = 276.892700 Longitude Region (3)[63] = 276.892700 Longitude Region (4)[64] = 276.892700 Longitude Region (5)[65] = 276.892700 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[66] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[67] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[68] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[69] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[70] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[71] = 297.408722 Longitude Region (2)[72] = 297.408722 Longitude Region (3)[73] = 297.408722 Longitude Region (4)[74] = 297.408722 Longitude Region (5)[75] = 297.408722 Cloud Effective Pressure for Monthly Hourly Avg 4 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[76] = 286.990051 Longitude Region (2)[77] = 286.990051 Longitude Region (3)[78] = 286.990051 Longitude Region (4)[79] = 286.990051 Longitude Region (5)[80] = 286.990051 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[81] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[82] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[83] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[84] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[85] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[86] = 275.649109 Longitude Region (2)[87] = 275.649109 Longitude Region (3)[88] = 275.649109 Longitude Region (4)[89] = 275.649109 Longitude Region (5)[90] = 275.649109 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[91] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[92] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[93] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[94] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[95] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[96] = 297.408722 Longitude Region (2)[97] = 297.408722 Longitude Region (3)[98] = 297.408722 Longitude Region (4)[99] = 297.408722 Longitude Region (5)[100] = 297.408722 Cloud Effective Pressure for Monthly Hourly Avg 5 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[101] = 287.469055 Longitude Region (2)[102] = 287.469055 Longitude Region (3)[103] = 287.469055 Longitude Region (4)[104] = 287.469055 Longitude Region (5)[105] = 287.469055 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[106] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[107] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[108] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[109] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[110] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[111] = 282.489563 Longitude Region (2)[112] = 282.489563 Longitude Region (3)[113] = 282.489563 Longitude Region (4)[114] = 282.489563 Longitude Region (5)[115] = 282.489563 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[116] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[117] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[118] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[119] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[120] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[121] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[122] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[123] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[124] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[125] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure Stat type = 2 STANDARD DEVIATION Cloud Effective Pressure for Monthly Hourly Avg 1 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[601] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[602] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[603] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[604] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[605] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[606] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[607] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[608] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[609] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[610] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[611] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[612] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[613] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[614] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[615] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[616] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[617] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[618] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[619] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[620] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[621] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[622] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[623] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[624] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[625] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Monthly Hourly Avg 2 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[626] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[627] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[628] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[629] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[630] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[631] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[632] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[633] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[634] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[635] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[636] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[637] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[638] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[639] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[640] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[641] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[642] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[643] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[644] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[645] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[646] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[647] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[648] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[649] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[650] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Monthly Hourly Avg 3 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[651] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[652] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[653] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[654] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[655] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[656] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[657] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[658] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[659] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[660] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[661] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[662] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[663] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[664] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[665] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[666] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[667] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[668] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[669] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[670] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[671] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[672] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[673] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[674] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[675] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Monthly Hourly Avg 4 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[676] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[677] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[678] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[679] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[680] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[681] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[682] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[683] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[684] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[685] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[686] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[687] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[688] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[689] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[690] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[691] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[692] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[693] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[694] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[695] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[696] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[697] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[698] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[699] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[700] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Monthly Hourly Avg 5 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[701] = 13.925584 Longitude Region (2)[702] = 13.925584 Longitude Region (3)[703] = 13.925584 Longitude Region (4)[704] = 13.925584 Longitude Region (5)[705] = 13.925584 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[706] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[707] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[708] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[709] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[710] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[711] = 9.758010 Longitude Region (2)[712] = 9.758010 Longitude Region (3)[713] = 9.758010 Longitude Region (4)[714] = 9.758010 Longitude Region (5)[715] = 9.758010 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[716] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[717] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[718] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[719] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[720] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[721] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[722] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[723] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[724] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[725] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure Stat type = 3 NUMBER OF OBSERVATIONS Cloud Effective Pressure for Monthly Hourly Avg 1 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1201] = 1.000000 Longitude Region (2)[1202] = 1.000000 Longitude Region (3)[1203] = 1.000000 Longitude Region (4)[1204] = 1.000000 Longitude Region (5)[1205] = 1.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[1206] = 0.000000 Longitude Region (2)[1207] = 0.000000 Longitude Region (3)[1208] = 0.000000 Longitude Region (4)[1209] = 0.000000 Longitude Region (5)[1210] = 0.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[1211] = 1.000000 Longitude Region (2)[1212] = 1.000000 Longitude Region (3)[1213] = 1.000000 Longitude Region (4)[1214] = 1.000000 Longitude Region (5)[1215] = 1.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[1216] = 0.000000 Longitude Region (2)[1217] = 0.000000 Longitude Region (3)[1218] = 0.000000 Longitude Region (4)[1219] = 0.000000 Longitude Region (5)[1220] = 0.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[1221] = 1.000000 Longitude Region (2)[1222] = 1.000000 Longitude Region (3)[1223] = 1.000000 Longitude Region (4)[1224] = 1.000000 Longitude Region (5)[1225] = 1.000000 Cloud Effective Pressure for Monthly Hourly Avg 2 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1226] = 1.000000 Longitude Region (2)[1227] = 1.000000 Longitude Region (3)[1228] = 1.000000 Longitude Region (4)[1229] = 1.000000 Longitude Region (5)[1230] = 1.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[1231] = 0.000000 Longitude Region (2)[1232] = 0.000000 Longitude Region (3)[1233] = 0.000000 Longitude Region (4)[1234] = 0.000000 Longitude Region (5)[1235] = 0.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[1236] = 1.000000 Longitude Region (2)[1237] = 1.000000 Longitude Region (3)[1238] = 1.000000 Longitude Region (4)[1239] = 1.000000 Longitude Region (5)[1240] = 1.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[1241] = 0.000000 Longitude Region (2)[1242] = 0.000000 Longitude Region (3)[1243] = 0.000000 Longitude Region (4)[1244] = 0.000000 Longitude Region (5)[1245] = 0.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[1246] = 1.000000 Longitude Region (2)[1247] = 1.000000 Longitude Region (3)[1248] = 1.000000 Longitude Region (4)[1249] = 1.000000 Longitude Region (5)[1250] = 1.000000 Cloud Effective Pressure for Monthly Hourly Avg 3 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1251] = 1.000000 Longitude Region (2)[1252] = 1.000000 Longitude Region (3)[1253] = 1.000000 Longitude Region (4)[1254] = 1.000000 Longitude Region (5)[1255] = 1.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[1256] = 0.000000 Longitude Region (2)[1257] = 0.000000 Longitude Region (3)[1258] = 0.000000 Longitude Region (4)[1259] = 0.000000 Longitude Region (5)[1260] = 0.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[1261] = 1.000000 Longitude Region (2)[1262] = 1.000000 Longitude Region (3)[1263] = 1.000000 Longitude Region (4)[1264] = 1.000000 Longitude Region (5)[1265] = 1.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[1266] = 0.000000 Longitude Region (2)[1267] = 0.000000 Longitude Region (3)[1268] = 0.000000 Longitude Region (4)[1269] = 0.000000 Longitude Region (5)[1270] = 0.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[1271] = 1.000000 Longitude Region (2)[1272] = 1.000000 Longitude Region (3)[1273] = 1.000000 Longitude Region (4)[1274] = 1.000000 Longitude Region (5)[1275] = 1.000000 Cloud Effective Pressure for Monthly Hourly Avg 4 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1276] = 1.000000 Longitude Region (2)[1277] = 1.000000 Longitude Region (3)[1278] = 1.000000 Longitude Region (4)[1279] = 1.000000 Longitude Region (5)[1280] = 1.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[1281] = 0.000000 Longitude Region (2)[1282] = 0.000000 Longitude Region (3)[1283] = 0.000000 Longitude Region (4)[1284] = 0.000000 Longitude Region (5)[1285] = 0.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[1286] = 1.000000 Longitude Region (2)[1287] = 1.000000 Longitude Region (3)[1288] = 1.000000 Longitude Region (4)[1289] = 1.000000 Longitude Region (5)[1290] = 1.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[1291] = 0.000000 Longitude Region (2)[1292] = 0.000000 Longitude Region (3)[1293] = 0.000000 Longitude Region (4)[1294] = 0.000000 Longitude Region (5)[1295] = 0.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[1296] = 1.000000 Longitude Region (2)[1297] = 1.000000 Longitude Region (3)[1298] = 1.000000 Longitude Region (4)[1299] = 1.000000 Longitude Region (5)[1300] = 1.000000 Cloud Effective Pressure for Monthly Hourly Avg 5 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1301] = 2.000000 Longitude Region (2)[1302] = 2.000000 Longitude Region (3)[1303] = 2.000000 Longitude Region (4)[1304] = 2.000000 Longitude Region (5)[1305] = 2.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[1306] = 0.000000 Longitude Region (2)[1307] = 0.000000 Longitude Region (3)[1308] = 0.000000 Longitude Region (4)[1309] = 0.000000 Longitude Region (5)[1310] = 0.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[1311] = 2.000000 Longitude Region (2)[1312] = 2.000000 Longitude Region (3)[1313] = 2.000000 Longitude Region (4)[1314] = 2.000000 Longitude Region (5)[1315] = 2.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[1316] = 0.000000 Longitude Region (2)[1317] = 0.000000 Longitude Region (3)[1318] = 0.000000 Longitude Region (4)[1319] = 0.000000 Longitude Region (5)[1320] = 0.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[1321] = 0.000000 Longitude Region (2)[1322] = 0.000000 Longitude Region (3)[1323] = 0.000000 Longitude Region (4)[1324] = 0.000000 Longitude Region (5)[1325] = 0.000000 ********************************************************* * Start Example 2 * ********************************************************* SDS: "Cloud Area Fraction" Rank: "4" type: "5" sds_dims[0]: "3" sds_dims[1]: "1" sds_dims[2]: "5" sds_dims[3]: "5" ************************************************************ * Example 2: ( ONLY PRINTING MAX OF 5 PER DIMENSION) * ************************************************************ Cloud Area Fraction Stat type = 1 MEAN Cloud Area Fraction for Monthly Avg 1 Cloud Area Fraction for Lat Zone 1 Longitude Region (1)[1] = 0.230697 Longitude Region (2)[2] = 0.230697 Longitude Region (3)[3] = 0.230697 Longitude Region (4)[4] = 0.230697 Longitude Region (5)[5] = 0.230697 Cloud Area Fraction for Lat Zone 2 Longitude Region (1)[6] = 0.160592 Longitude Region (2)[7] = 0.160592 Longitude Region (3)[8] = 0.160592 Longitude Region (4)[9] = 0.160592 Longitude Region (5)[10] = 0.160592 Cloud Area Fraction for Lat Zone 3 Longitude Region (1)[11] = 0.412250 Longitude Region (2)[12] = 0.412250 Longitude Region (3)[13] = 0.412250 Longitude Region (4)[14] = 0.412250 Longitude Region (5)[15] = 0.412250 Cloud Area Fraction for Lat Zone 4 Longitude Region (1)[16] = 0.232422 Longitude Region (2)[17] = 0.232422 Longitude Region (3)[18] = 0.232422 Longitude Region (4)[19] = 0.232422 Longitude Region (5)[20] = 0.232422 Cloud Area Fraction for Lat Zone 5 Longitude Region (1)[21] = 0.090808 Longitude Region (2)[22] = 0.090808 Longitude Region (3)[23] = 0.090808 Longitude Region (4)[24] = 0.090808 Longitude Region (5)[25] = 0.090808 Cloud Area Fraction Stat type = 2 STANDARD DEVIATION Cloud Area Fraction for Monthly Avg 1 Cloud Area Fraction for Lat Zone 1 Longitude Region (1)[26] = 0.146723 Longitude Region (2)[27] = 0.146723 Longitude Region (3)[28] = 0.146723 Longitude Region (4)[29] = 0.146723 Longitude Region (5)[30] = 0.146723 Cloud Area Fraction for Lat Zone 2 Longitude Region (1)[31] = 0.262658 Longitude Region (2)[32] = 0.262658 Longitude Region (3)[33] = 0.262658 Longitude Region (4)[34] = 0.262658 Longitude Region (5)[35] = 0.262658 Cloud Area Fraction for Lat Zone 3 Longitude Region (1)[36] = 0.605819 Longitude Region (2)[37] = 0.605819 Longitude Region (3)[38] = 0.605819 Longitude Region (4)[39] = 0.605819 Longitude Region (5)[40] = 0.605819 Cloud Area Fraction for Lat Zone 4 Longitude Region (1)[41] = 0.405726 Longitude Region (2)[42] = 0.405726 Longitude Region (3)[43] = 0.405726 Longitude Region (4)[44] = 0.405726 Longitude Region (5)[45] = 0.405726 Cloud Area Fraction for Lat Zone 5 Longitude Region (1)[46] = 0.230974 Longitude Region (2)[47] = 0.230974 Longitude Region (3)[48] = 0.230974 Longitude Region (4)[49] = 0.230974 Longitude Region (5)[50] = 0.230974 Cloud Area Fraction Stat type = 3 NUMBER OF OBSERVATIONS Cloud Area Fraction for Monthly Avg 1 Cloud Area Fraction for Lat Zone 1 Longitude Region (1)[51] = 624.000000 Longitude Region (2)[52] = 624.000000 Longitude Region (3)[53] = 624.000000 Longitude Region (4)[54] = 624.000000 Longitude Region (5)[55] = 624.000000 Cloud Area Fraction for Lat Zone 2 Longitude Region (1)[56] = 648.000000 Longitude Region (2)[57] = 648.000000 Longitude Region (3)[58] = 648.000000 Longitude Region (4)[59] = 648.000000 Longitude Region (5)[60] = 648.000000 Cloud Area Fraction for Lat Zone 3 Longitude Region (1)[61] = 648.000000 Longitude Region (2)[62] = 648.000000 Longitude Region (3)[63] = 648.000000 Longitude Region (4)[64] = 648.000000 Longitude Region (5)[65] = 648.000000 Cloud Area Fraction for Lat Zone 4 Longitude Region (1)[66] = 648.000000 Longitude Region (2)[67] = 648.000000 Longitude Region (3)[68] = 648.000000 Longitude Region (4)[69] = 648.000000 Longitude Region (5)[70] = 648.000000 Cloud Area Fraction for Lat Zone 5 Longitude Region (1)[71] = 648.000000 Longitude Region (2)[72] = 648.000000 Longitude Region (3)[73] = 648.000000 Longitude Region (4)[74] = 648.000000 Longitude Region (5)[75] = 648.000000 ********************************************************* * Start Example 3 * ********************************************************* SDS: "Cloud Effective Temperature" Rank: "4" type: "5" sds_dims[0]: "3" sds_dims[1]: "1" sds_dims[2]: "5" sds_dims[3]: "1" ************************************************************ * Example 3: ( ONLY PRINTING MAX OF 5 PER DIMENSION) * ************************************************************ Cloud Effective Temperature Stat type = 1 MEAN Cloud Effective Temperature for Monthly Avg 1 Cloud Effective Temperature for Lat Zone 1 Longitude Region (1)[1] = 237.524384 Cloud Effective Temperature for Lat Zone 2 Longitude Region (1)[2] = 238.919144 Cloud Effective Temperature for Lat Zone 3 Longitude Region (1)[3] = 238.567978 Cloud Effective Temperature for Lat Zone 4 Longitude Region (1)[4] = 238.542114 Cloud Effective Temperature for Lat Zone 5 Longitude Region (1)[5] = 238.460770 Cloud Effective Temperature Stat type = 2 STANDARD DEVIATION Cloud Effective Temperature for Monthly Avg 1 Cloud Effective Temperature for Lat Zone 1 Longitude Region (1)[6] = 0.000000 Cloud Effective Temperature for Lat Zone 2 Longitude Region (1)[7] = 1207.955200 Cloud Effective Temperature for Lat Zone 3 Longitude Region (1)[8] = 1804.630737 Cloud Effective Temperature for Lat Zone 4 Longitude Region (1)[9] = 1964.003662 Cloud Effective Temperature for Lat Zone 5 Longitude Region (1)[10] = 2022.346558 Cloud Effective Temperature Stat type = 3 NUMBER OF OBSERVATIONS Cloud Effective Temperature for Monthly Avg 1 Cloud Effective Temperature for Lat Zone 1 Longitude Region (1)[11] = 360.000000 Cloud Effective Temperature for Lat Zone 2 Longitude Region (1)[12] = 360.000000 Cloud Effective Temperature for Lat Zone 3 Longitude Region (1)[13] = 360.000000 Cloud Effective Temperature for Lat Zone 4 Longitude Region (1)[14] = 360.000000 Cloud Effective Temperature for Lat Zone 5 Longitude Region (1)[15] = 360.000000 ********************************************************* * Start Example 4 * ********************************************************* SDS: "Cloud Visible Optical Depth - log" Rank: "4" type: "5" sds_dims[0]: "3" sds_dims[1]: "1" sds_dims[2]: "1" sds_dims[3]: "1" ************************************************************ * Example 4: ( ONLY PRINTING MAX OF 5 PER DIMENSION) * ************************************************************ Cloud Visible Optical Depth - log Stat type = 1 MEAN Cloud Visible Optical Depth - log for Monthly Avg 1 Cloud Visible Optical Depth - log for Lat Zone 1 Longitude Region (1)[1] = 1.362942 Cloud Visible Optical Depth - log Stat type = 2 STANDARD DEVIATION Cloud Visible Optical Depth - log for Monthly Avg 1 Cloud Visible Optical Depth - log for Lat Zone 1 Longitude Region (1)[2] = 18.006773 Cloud Visible Optical Depth - log Stat type = 3 NUMBER OF OBSERVATIONS Cloud Visible Optical Depth - log for Monthly Avg 1 Cloud Visible Optical Depth - log for Lat Zone 1 Longitude Region (1)[3] = 180.000000 ********************************************************* * Example 5: * ********************************************************* ASSOCIATEDPLATFORMSHORTNAME = Aqua *************** SRBAVG3 ******************************* Name of HDF file to be read: < CER_SRBAVG3_Sample_R4V1 ********************************************************* * Start Example 1 * ********************************************************* SDS: "Cloud Effective Pressure" Rank: "4" type: "5" sds_dims[0]: "3" sds_dims[1]: "24" sds_dims[2]: "5" sds_dims[3]: "5" ************************************************************ * Example 1: ( ONLY PRINTING MAX OF 5 PER DIMENSION) * ************************************************************ Cloud Effective Pressure Stat type = 1 MEAN Cloud Effective Pressure for Monthly Hourly Avg 1 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1] = 290.685425 Longitude Region (2)[2] = 290.685425 Longitude Region (3)[3] = 290.685425 Longitude Region (4)[4] = 290.685425 Longitude Region (5)[5] = 290.685425 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[6] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[7] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[8] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[9] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[10] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[11] = 276.143311 Longitude Region (2)[12] = 276.143311 Longitude Region (3)[13] = 276.143311 Longitude Region (4)[14] = 276.143311 Longitude Region (5)[15] = 276.143311 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[16] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[17] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[18] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[19] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[20] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[21] = 297.408722 Longitude Region (2)[22] = 297.408722 Longitude Region (3)[23] = 297.408722 Longitude Region (4)[24] = 297.408722 Longitude Region (5)[25] = 297.408722 Cloud Effective Pressure for Monthly Hourly Avg 2 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[26] = 291.729187 Longitude Region (2)[27] = 291.729187 Longitude Region (3)[28] = 291.729187 Longitude Region (4)[29] = 291.729187 Longitude Region (5)[30] = 291.729187 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[31] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[32] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[33] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[34] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[35] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[36] = 276.881500 Longitude Region (2)[37] = 276.881500 Longitude Region (3)[38] = 276.881500 Longitude Region (4)[39] = 276.881500 Longitude Region (5)[40] = 276.881500 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[41] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[42] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[43] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[44] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[45] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[46] = 297.408722 Longitude Region (2)[47] = 297.408722 Longitude Region (3)[48] = 297.408722 Longitude Region (4)[49] = 297.408722 Longitude Region (5)[50] = 297.408722 Cloud Effective Pressure for Monthly Hourly Avg 3 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[51] = 285.475616 Longitude Region (2)[52] = 285.475616 Longitude Region (3)[53] = 285.475616 Longitude Region (4)[54] = 285.475616 Longitude Region (5)[55] = 285.475616 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[56] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[57] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[58] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[59] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[60] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[61] = 276.892700 Longitude Region (2)[62] = 276.892700 Longitude Region (3)[63] = 276.892700 Longitude Region (4)[64] = 276.892700 Longitude Region (5)[65] = 276.892700 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[66] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[67] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[68] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[69] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[70] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[71] = 297.408722 Longitude Region (2)[72] = 297.408722 Longitude Region (3)[73] = 297.408722 Longitude Region (4)[74] = 297.408722 Longitude Region (5)[75] = 297.408722 Cloud Effective Pressure for Monthly Hourly Avg 4 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[76] = 286.990051 Longitude Region (2)[77] = 286.990051 Longitude Region (3)[78] = 286.990051 Longitude Region (4)[79] = 286.990051 Longitude Region (5)[80] = 286.990051 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[81] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[82] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[83] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[84] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[85] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[86] = 275.649109 Longitude Region (2)[87] = 275.649109 Longitude Region (3)[88] = 275.649109 Longitude Region (4)[89] = 275.649109 Longitude Region (5)[90] = 275.649109 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[91] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[92] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[93] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[94] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[95] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[96] = 297.408722 Longitude Region (2)[97] = 297.408722 Longitude Region (3)[98] = 297.408722 Longitude Region (4)[99] = 297.408722 Longitude Region (5)[100] = 297.408722 Cloud Effective Pressure for Monthly Hourly Avg 5 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[101] = 287.469055 Longitude Region (2)[102] = 287.469055 Longitude Region (3)[103] = 287.469055 Longitude Region (4)[104] = 287.469055 Longitude Region (5)[105] = 287.469055 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[106] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[107] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[108] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[109] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[110] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[111] = 282.489563 Longitude Region (2)[112] = 282.489563 Longitude Region (3)[113] = 282.489563 Longitude Region (4)[114] = 282.489563 Longitude Region (5)[115] = 282.489563 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[116] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[117] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[118] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[119] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[120] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[121] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[122] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[123] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[124] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[125] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure Stat type = 2 STANDARD DEVIATION Cloud Effective Pressure for Monthly Hourly Avg 1 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[601] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[602] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[603] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[604] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[605] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[606] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[607] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[608] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[609] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[610] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[611] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[612] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[613] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[614] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[615] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[616] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[617] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[618] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[619] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[620] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[621] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[622] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[623] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[624] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[625] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Monthly Hourly Avg 2 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[626] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[627] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[628] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[629] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[630] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[631] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[632] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[633] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[634] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[635] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[636] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[637] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[638] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[639] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[640] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[641] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[642] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[643] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[644] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[645] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[646] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[647] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[648] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[649] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[650] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Monthly Hourly Avg 3 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[651] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[652] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[653] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[654] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[655] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[656] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[657] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[658] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[659] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[660] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[661] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[662] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[663] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[664] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[665] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[666] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[667] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[668] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[669] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[670] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[671] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[672] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[673] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[674] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[675] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Monthly Hourly Avg 4 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[676] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[677] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[678] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[679] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[680] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[681] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[682] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[683] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[684] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[685] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[686] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[687] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[688] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[689] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[690] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[691] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[692] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[693] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[694] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[695] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[696] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[697] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[698] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[699] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[700] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Monthly Hourly Avg 5 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[701] = 13.925584 Longitude Region (2)[702] = 13.925584 Longitude Region (3)[703] = 13.925584 Longitude Region (4)[704] = 13.925584 Longitude Region (5)[705] = 13.925584 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[706] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[707] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[708] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[709] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[710] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[711] = 9.758010 Longitude Region (2)[712] = 9.758010 Longitude Region (3)[713] = 9.758010 Longitude Region (4)[714] = 9.758010 Longitude Region (5)[715] = 9.758010 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[716] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[717] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[718] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[719] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[720] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[721] = 340282346638528860000000000000000000000.000000 Longitude Region (2)[722] = 340282346638528860000000000000000000000.000000 Longitude Region (3)[723] = 340282346638528860000000000000000000000.000000 Longitude Region (4)[724] = 340282346638528860000000000000000000000.000000 Longitude Region (5)[725] = 340282346638528860000000000000000000000.000000 Cloud Effective Pressure Stat type = 3 NUMBER OF OBSERVATIONS Cloud Effective Pressure for Monthly Hourly Avg 1 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1201] = 1.000000 Longitude Region (2)[1202] = 1.000000 Longitude Region (3)[1203] = 1.000000 Longitude Region (4)[1204] = 1.000000 Longitude Region (5)[1205] = 1.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[1206] = 0.000000 Longitude Region (2)[1207] = 0.000000 Longitude Region (3)[1208] = 0.000000 Longitude Region (4)[1209] = 0.000000 Longitude Region (5)[1210] = 0.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[1211] = 1.000000 Longitude Region (2)[1212] = 1.000000 Longitude Region (3)[1213] = 1.000000 Longitude Region (4)[1214] = 1.000000 Longitude Region (5)[1215] = 1.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[1216] = 0.000000 Longitude Region (2)[1217] = 0.000000 Longitude Region (3)[1218] = 0.000000 Longitude Region (4)[1219] = 0.000000 Longitude Region (5)[1220] = 0.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[1221] = 1.000000 Longitude Region (2)[1222] = 1.000000 Longitude Region (3)[1223] = 1.000000 Longitude Region (4)[1224] = 1.000000 Longitude Region (5)[1225] = 1.000000 Cloud Effective Pressure for Monthly Hourly Avg 2 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1226] = 1.000000 Longitude Region (2)[1227] = 1.000000 Longitude Region (3)[1228] = 1.000000 Longitude Region (4)[1229] = 1.000000 Longitude Region (5)[1230] = 1.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[1231] = 0.000000 Longitude Region (2)[1232] = 0.000000 Longitude Region (3)[1233] = 0.000000 Longitude Region (4)[1234] = 0.000000 Longitude Region (5)[1235] = 0.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[1236] = 1.000000 Longitude Region (2)[1237] = 1.000000 Longitude Region (3)[1238] = 1.000000 Longitude Region (4)[1239] = 1.000000 Longitude Region (5)[1240] = 1.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[1241] = 0.000000 Longitude Region (2)[1242] = 0.000000 Longitude Region (3)[1243] = 0.000000 Longitude Region (4)[1244] = 0.000000 Longitude Region (5)[1245] = 0.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[1246] = 1.000000 Longitude Region (2)[1247] = 1.000000 Longitude Region (3)[1248] = 1.000000 Longitude Region (4)[1249] = 1.000000 Longitude Region (5)[1250] = 1.000000 Cloud Effective Pressure for Monthly Hourly Avg 3 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1251] = 1.000000 Longitude Region (2)[1252] = 1.000000 Longitude Region (3)[1253] = 1.000000 Longitude Region (4)[1254] = 1.000000 Longitude Region (5)[1255] = 1.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[1256] = 0.000000 Longitude Region (2)[1257] = 0.000000 Longitude Region (3)[1258] = 0.000000 Longitude Region (4)[1259] = 0.000000 Longitude Region (5)[1260] = 0.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[1261] = 1.000000 Longitude Region (2)[1262] = 1.000000 Longitude Region (3)[1263] = 1.000000 Longitude Region (4)[1264] = 1.000000 Longitude Region (5)[1265] = 1.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[1266] = 0.000000 Longitude Region (2)[1267] = 0.000000 Longitude Region (3)[1268] = 0.000000 Longitude Region (4)[1269] = 0.000000 Longitude Region (5)[1270] = 0.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[1271] = 1.000000 Longitude Region (2)[1272] = 1.000000 Longitude Region (3)[1273] = 1.000000 Longitude Region (4)[1274] = 1.000000 Longitude Region (5)[1275] = 1.000000 Cloud Effective Pressure for Monthly Hourly Avg 4 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1276] = 1.000000 Longitude Region (2)[1277] = 1.000000 Longitude Region (3)[1278] = 1.000000 Longitude Region (4)[1279] = 1.000000 Longitude Region (5)[1280] = 1.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[1281] = 0.000000 Longitude Region (2)[1282] = 0.000000 Longitude Region (3)[1283] = 0.000000 Longitude Region (4)[1284] = 0.000000 Longitude Region (5)[1285] = 0.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[1286] = 1.000000 Longitude Region (2)[1287] = 1.000000 Longitude Region (3)[1288] = 1.000000 Longitude Region (4)[1289] = 1.000000 Longitude Region (5)[1290] = 1.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[1291] = 0.000000 Longitude Region (2)[1292] = 0.000000 Longitude Region (3)[1293] = 0.000000 Longitude Region (4)[1294] = 0.000000 Longitude Region (5)[1295] = 0.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[1296] = 1.000000 Longitude Region (2)[1297] = 1.000000 Longitude Region (3)[1298] = 1.000000 Longitude Region (4)[1299] = 1.000000 Longitude Region (5)[1300] = 1.000000 Cloud Effective Pressure for Monthly Hourly Avg 5 Cloud Effective Pressure for Lat Zone 1 Longitude Region (1)[1301] = 2.000000 Longitude Region (2)[1302] = 2.000000 Longitude Region (3)[1303] = 2.000000 Longitude Region (4)[1304] = 2.000000 Longitude Region (5)[1305] = 2.000000 Cloud Effective Pressure for Lat Zone 2 Longitude Region (1)[1306] = 0.000000 Longitude Region (2)[1307] = 0.000000 Longitude Region (3)[1308] = 0.000000 Longitude Region (4)[1309] = 0.000000 Longitude Region (5)[1310] = 0.000000 Cloud Effective Pressure for Lat Zone 3 Longitude Region (1)[1311] = 2.000000 Longitude Region (2)[1312] = 2.000000 Longitude Region (3)[1313] = 2.000000 Longitude Region (4)[1314] = 2.000000 Longitude Region (5)[1315] = 2.000000 Cloud Effective Pressure for Lat Zone 4 Longitude Region (1)[1316] = 0.000000 Longitude Region (2)[1317] = 0.000000 Longitude Region (3)[1318] = 0.000000 Longitude Region (4)[1319] = 0.000000 Longitude Region (5)[1320] = 0.000000 Cloud Effective Pressure for Lat Zone 5 Longitude Region (1)[1321] = 0.000000 Longitude Region (2)[1322] = 0.000000 Longitude Region (3)[1323] = 0.000000 Longitude Region (4)[1324] = 0.000000 Longitude Region (5)[1325] = 0.000000 ********************************************************* * Start Example 2 * ********************************************************* SDS: "Cloud Area Fraction" Rank: "4" type: "5" sds_dims[0]: "3" sds_dims[1]: "1" sds_dims[2]: "5" sds_dims[3]: "5" ************************************************************ * Example 2: ( ONLY PRINTING MAX OF 5 PER DIMENSION) * ************************************************************ Cloud Area Fraction Stat type = 1 MEAN Cloud Area Fraction for Monthly Avg 1 Cloud Area Fraction for Lat Zone 1 Longitude Region (1)[1] = 0.230697 Longitude Region (2)[2] = 0.230697 Longitude Region (3)[3] = 0.230697 Longitude Region (4)[4] = 0.230697 Longitude Region (5)[5] = 0.230697 Cloud Area Fraction for Lat Zone 2 Longitude Region (1)[6] = 0.160592 Longitude Region (2)[7] = 0.160592 Longitude Region (3)[8] = 0.160592 Longitude Region (4)[9] = 0.160592 Longitude Region (5)[10] = 0.160592 Cloud Area Fraction for Lat Zone 3 Longitude Region (1)[11] = 0.412250 Longitude Region (2)[12] = 0.412250 Longitude Region (3)[13] = 0.412250 Longitude Region (4)[14] = 0.412250 Longitude Region (5)[15] = 0.412250 Cloud Area Fraction for Lat Zone 4 Longitude Region (1)[16] = 0.232422 Longitude Region (2)[17] = 0.232422 Longitude Region (3)[18] = 0.232422 Longitude Region (4)[19] = 0.232422 Longitude Region (5)[20] = 0.232422 Cloud Area Fraction for Lat Zone 5 Longitude Region (1)[21] = 0.090808 Longitude Region (2)[22] = 0.090808 Longitude Region (3)[23] = 0.090808 Longitude Region (4)[24] = 0.090808 Longitude Region (5)[25] = 0.090808 Cloud Area Fraction Stat type = 2 STANDARD DEVIATION Cloud Area Fraction for Monthly Avg 1 Cloud Area Fraction for Lat Zone 1 Longitude Region (1)[26] = 0.146723 Longitude Region (2)[27] = 0.146723 Longitude Region (3)[28] = 0.146723 Longitude Region (4)[29] = 0.146723 Longitude Region (5)[30] = 0.146723 Cloud Area Fraction for Lat Zone 2 Longitude Region (1)[31] = 0.262658 Longitude Region (2)[32] = 0.262658 Longitude Region (3)[33] = 0.262658 Longitude Region (4)[34] = 0.262658 Longitude Region (5)[35] = 0.262658 Cloud Area Fraction for Lat Zone 3 Longitude Region (1)[36] = 0.605819 Longitude Region (2)[37] = 0.605819 Longitude Region (3)[38] = 0.605819 Longitude Region (4)[39] = 0.605819 Longitude Region (5)[40] = 0.605819 Cloud Area Fraction for Lat Zone 4 Longitude Region (1)[41] = 0.405726 Longitude Region (2)[42] = 0.405726 Longitude Region (3)[43] = 0.405726 Longitude Region (4)[44] = 0.405726 Longitude Region (5)[45] = 0.405726 Cloud Area Fraction for Lat Zone 5 Longitude Region (1)[46] = 0.230974 Longitude Region (2)[47] = 0.230974 Longitude Region (3)[48] = 0.230974 Longitude Region (4)[49] = 0.230974 Longitude Region (5)[50] = 0.230974 Cloud Area Fraction Stat type = 3 NUMBER OF OBSERVATIONS Cloud Area Fraction for Monthly Avg 1 Cloud Area Fraction for Lat Zone 1 Longitude Region (1)[51] = 624.000000 Longitude Region (2)[52] = 624.000000 Longitude Region (3)[53] = 624.000000 Longitude Region (4)[54] = 624.000000 Longitude Region (5)[55] = 624.000000 Cloud Area Fraction for Lat Zone 2 Longitude Region (1)[56] = 648.000000 Longitude Region (2)[57] = 648.000000 Longitude Region (3)[58] = 648.000000 Longitude Region (4)[59] = 648.000000 Longitude Region (5)[60] = 648.000000 Cloud Area Fraction for Lat Zone 3 Longitude Region (1)[61] = 648.000000 Longitude Region (2)[62] = 648.000000 Longitude Region (3)[63] = 648.000000 Longitude Region (4)[64] = 648.000000 Longitude Region (5)[65] = 648.000000 Cloud Area Fraction for Lat Zone 4 Longitude Region (1)[66] = 648.000000 Longitude Region (2)[67] = 648.000000 Longitude Region (3)[68] = 648.000000 Longitude Region (4)[69] = 648.000000 Longitude Region (5)[70] = 648.000000 Cloud Area Fraction for Lat Zone 5 Longitude Region (1)[71] = 648.000000 Longitude Region (2)[72] = 648.000000 Longitude Region (3)[73] = 648.000000 Longitude Region (4)[74] = 648.000000 Longitude Region (5)[75] = 648.000000 ********************************************************* * Start Example 3 * ********************************************************* SDS: "Cloud Effective Temperature" Rank: "4" type: "5" sds_dims[0]: "3" sds_dims[1]: "1" sds_dims[2]: "5" sds_dims[3]: "1" ************************************************************ * Example 3: ( ONLY PRINTING MAX OF 5 PER DIMENSION) * ************************************************************ Cloud Effective Temperature Stat type = 1 MEAN Cloud Effective Temperature for Monthly Avg 1 Cloud Effective Temperature for Lat Zone 1 Longitude Region (1)[1] = 237.524384 Cloud Effective Temperature for Lat Zone 2 Longitude Region (1)[2] = 238.919144 Cloud Effective Temperature for Lat Zone 3 Longitude Region (1)[3] = 238.567978 Cloud Effective Temperature for Lat Zone 4 Longitude Region (1)[4] = 238.542114 Cloud Effective Temperature for Lat Zone 5 Longitude Region (1)[5] = 238.460770 Cloud Effective Temperature Stat type = 2 STANDARD DEVIATION Cloud Effective Temperature for Monthly Avg 1 Cloud Effective Temperature for Lat Zone 1 Longitude Region (1)[6] = 0.000000 Cloud Effective Temperature for Lat Zone 2 Longitude Region (1)[7] = 1207.955200 Cloud Effective Temperature for Lat Zone 3 Longitude Region (1)[8] = 1804.630737 Cloud Effective Temperature for Lat Zone 4 Longitude Region (1)[9] = 1964.003662 Cloud Effective Temperature for Lat Zone 5 Longitude Region (1)[10] = 2022.346558 Cloud Effective Temperature Stat type = 3 NUMBER OF OBSERVATIONS Cloud Effective Temperature for Monthly Avg 1 Cloud Effective Temperature for Lat Zone 1 Longitude Region (1)[11] = 360.000000 Cloud Effective Temperature for Lat Zone 2 Longitude Region (1)[12] = 360.000000 Cloud Effective Temperature for Lat Zone 3 Longitude Region (1)[13] = 360.000000 Cloud Effective Temperature for Lat Zone 4 Longitude Region (1)[14] = 360.000000 Cloud Effective Temperature for Lat Zone 5 Longitude Region (1)[15] = 360.000000 ********************************************************* * Start Example 4 * ********************************************************* SDS: "Cloud Visible Optical Depth - log" Rank: "4" type: "5" sds_dims[0]: "3" sds_dims[1]: "1" sds_dims[2]: "1" sds_dims[3]: "1" ************************************************************ * Example 4: ( ONLY PRINTING MAX OF 5 PER DIMENSION) * ************************************************************ Cloud Visible Optical Depth - log Stat type = 1 MEAN Cloud Visible Optical Depth - log for Monthly Avg 1 Cloud Visible Optical Depth - log for Lat Zone 1 Longitude Region (1)[1] = 1.468946 Cloud Visible Optical Depth - log Stat type = 2 STANDARD DEVIATION Cloud Visible Optical Depth - log for Monthly Avg 1 Cloud Visible Optical Depth - log for Lat Zone 1 Longitude Region (1)[2] = 18.646585 Cloud Visible Optical Depth - log Stat type = 3 NUMBER OF OBSERVATIONS Cloud Visible Optical Depth - log for Monthly Avg 1 Cloud Visible Optical Depth - log for Lat Zone 1 Longitude Region (1)[3] = 180.000000 ********************************************************* * Example 5: * ********************************************************* ASSOCIATEDPLATFORMSHORTNAME = Aqua Last Updated: February 27, 2008 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