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CERES Terra Edition2F CRS
Data Quality Summary

Investigation: CERES
Data Product: Clouds and Radiative Swath (CRS)
Data Set: Terra (Instruments: CERES-FM1 or CERES-FM2)
Data Set Version: Edition2F

The purpose of this document is to inform users of the accuracy of this data product as determined by the CERES (Wielicki et al., 1996) Science Team. This document briefly summarizes key validation results, provides cautions where users might easily misinterpret the data, provides links to further information about the data product, algorithms, and accuracy, and gives information about planned data improvements. This document also automates registration in order to keep users informed of new validation results, cautions, or improved data sets as they become available.

This document is a high-level summary and represents the minimum necessary information for scientific users of this data product.

Table of Contents


Surface and Atmosphere Radiation Budget product.
Figure 1 CRS: CERES Surface and Atmosphere Radiation Budget (SARB) product

Nature of the CRS Product

The CRS product evolves and has different versions. The present document has a core message: How Terra Edition2F CRS (which employs MODIS Collection 5 and covers May 2006 onward) differs from Terra Edition2B CRS (which employs MODIS Collection 4, initiates the CERES CRS Terra coverage in July 2002, and extends at least April 2006). The experienced user of Terra Edition2B CRS should now skip to the section "How Terra Edition2F CRS Differs from Terra Edition2B CRS". The inexperienced user should scan the paragraphs of this Introduction; and if CRS then sounds interesting, the extensive descriptions in the Data Quality Summary of Terra Edition2B CRS should be consulted FIRST. The cloud and aerosol properties for broadband radiative transfer calculations in Terra Edition2F CRS are based on the more recent MODIS Collection 5 narrowband radiances. There were essentially no changes to the Minnis cloud retrieval algorithms but Remer and colleagues (web search for "MODIS Collection 5 aerosols") did improve on the aerosol retrieval algorithms used in Collection 4. Aerosols for radiative transfer calculations in Terra Edition2B CRS are obtained from high resolution MODIS retrievals, from a lower resolution daily averaged database of MODIS retrievals, or from an aerosol assimilation (MATCH); aerosols in Terra Edition2F CRS are obtained only from high resolution MODIS retrievals or MATCH. Those are the changes

Introduction

The CRS product (Figure 1) is designed for studies which require fields of clouds, humidity and aerosol that are consistent with radiative fluxes from the surface to the Top Of the Atmosphere (TOA); for example, studies of cloud and aerosol forcing at both TOA and surface, or investigations of possible errors in retrievals of TOA fluxes, cloud properties, surface skin temperature, etc. It is quite a task to manipulate the huge files of this ungridded data set, which spans the globe with about 100 megabytes per day. Potential users are strongly encouraged to visit the CAVE web site which is a gateway to a point and click version of the radiative transfer code used here; user-friendly time series of subset (small) files at a few locations; validation at ~50 independent ground-based sites (ARM, BSRN, and SURFRAD); and an ocean albedo look up table (LUT) for GCMs. Gridded forms of CRS have the name "FSW". Some users will prefer to wait for the arrival of the gridded and time-averaged (3-hourly) "SYN" product, in which geostationary imager data, in addition to MODIS, will be used as inputs for cloud optical properties in SARB calculations. Potential users may also benefit from the CERES Archival Data web site when attempting to determine the CERES data product of interest.

CRS software is developed and managed by the CERES Surface and Atmospheric Radiation Budget (SARB) Working Group (WG); the above "CAVE" URL is an operating environment for the WG and its users. Like its parent Single Scanner Footprint (SSF), CRS corresponds to an instantaneous CERES broadband footprint. The footprint has nominal nadir resolution of 20 km for half power points but is larger at other view angles (Figure 2). The major inputs (Figure 3) to the CRS software are the instantaneous scene identification, cloud and aerosol properties from the MODIS cloud imager pixels (resolution ~1 km), and TOA radiation (from the CERES instrument) contained on the respective SSF footprint; along with 6-hourly gridded fields of temperature, humidity, wind, and ozone, and climatological aerosol data contained on the Meteorological, Ozone, and Aerosol (MOA) product. MOA includes meteorological data provided by GEOS4 and the Stratospheric Monitoring Group Ozone Blended Analysis (SMOBA, Yang et al., 2000) ozone profiles from NCEP. Aerosol information is taken from MODIS and from MATCH. The CRS product contains the SSF input data; through-the-atmosphere radiative flux profiles calculated by SARB algorithms that partially constrain to CERES TOA observations; adjustments to key input parameters (i.e., optical depth for cloudy footprints and skin temperature for clear footprints); and diagnostic parameters. CRS fluxes are produced for shortwave (SW), longwave (LW), the 8.0-12.0 µm window (WN), both upwelling and downwelling at TOA, 70 hPa, 200 hPa, 500 hPa, and the surface (Figure 3). To permit the user to infer cloud forcing and direct aerosol forcing, we include surface and TOA fluxes that have been computed for cloud-free (clear) and aerosol-free (pristine) footprints; this accounts for aerosol effects (SW and LW) to both clear and cloudy skies.

THIS IS IMPORTANT: When Terra Edition2B/2F CRS were processed, only an older form of CERES observations were available for broadband TOA fluxes, namely Aqua SSF Edition2B/2C. The CERES Science Team now recommends a set of "Rev1" corrections (see the SSF Quality Summaries) to SW observations at TOA. Rev1 corrections are time dependent and can exceed 1%. THE USER IS CHARGED TO CORRECT THE CERES TOA OBSERVATIONS AS PER REV1. Aqua Edition2B/2C CRS (and Terra Edition2B CRS) do not account for the Rev1 correction. The end product of Aqua Edition2B CRS (and Terra Edition2B CRS), is a "tuned" flux, which has been constrained to more closely approach CERES observations at TOA by modifying inputs like cloud optical depth, surface albedo, etc. Tuned CRS fluxes are hardly ever equal to observed SSF fluxes. Untuned CRS fluxes can be obtained by subtracting the "adjustment" from the "tuned" flux; the tuned fluxes and the adjustments are archived. Over land and over the cryosphere, even the untuned fluxes are affected by the CERES TOA observations of SW, as they are used to estimate surface albedo. Over the ice-free ocean, CERES TOA SW observations do not affect untuned CRS calculations. In the mean over ice-free ocean, CRS untuned SW calculations at TOA are closer to the Rev1 corrected observations, than they are to original SSF observations. See the table of Rev1 corrections. When a user orders a CRS file, an SSF file will come automatically attached; the file has SSF parameters first, then CRS parameters. The broadband SSF observations should be corrected as per the Aqua SSF Edition2C Quality Summary.

When referring to a CERES data set, please include the satellite name and/or the CERES instrument name, the data set version, and the data product. Multiple files which are identical in all aspects of the filename except for the 6 digit configuration code (see Collection Guide - when available) differ little, if any, scientifically. Users may, therefore, analyze data from the same satellite/instrument (here Terra/CERES/MODIS), data set version (here Edition2F), and data product (here CRS) without regard to configuration code. This CRS data set may be referred to as "CERES Terra Edition2F CRS".

Viewing geometry and vertical profile of SARB fluxes.
Figure 2: Typical viewing geometry showing small MODIS pixels within large CERES footprints


Input data for computing SARB vertical profile.
Figure 3. Inputs for determining the Surface and Atmosphere Radiation Budget (SARB)

How Terra Edition2F CRS Differs from Terra Edition2B CRS

Here we compare Terra Edition2F CRS with Terra Edition2B CRS indirectly, by showing how each differs respectively from other data taken at the same time. CRS represents the Surface and Atmosphere Radiation Budget (SARB) at the surface, 500 hPa, 200 hPa, 70 hPa, and TOA with tuned broadband SW and LW fluxes for all-sky (total-sky) and clear-sky conditions in CERES footprints (~20 km); untuned fluxes are available and surface and TOA only. Computed CRS fluxes are compared with broadband CERES observations at TOA. At the surface, we compare with ground-based measurements. The cloud properties for Edition2B calculations were provided by SSF, which generated them from MODIS Collection 4 radiances with a kluge of algorithms from Minnis and colleagues; aerosol optical thickness was obtained from Collection 4 (MATCH ran Collection 4). Terra Edition2F CRS starts in March 2000 and continues to at least April 2006. Aqua Edition2C CRS starts in May 2006. The change in Edition2C is the use of MODIS Collection 5.

Aerosols for radiative transfer calculations in Terra Edition2B CRS are obtained by a hierarchical selection: high resolution MODIS retrievals are preferred, lower resolution daily averaged database of MODIS retrievals come next, and then the MATCH aerosol assimilation. Aerosols in Terra Edition2F CRS are obtained only from high resolution MODIS retrievals or MATCH. David Fillmore in Boulder supplies MATCH files for CERES.

Biases of CRS calculations with SSF observations.
Figure 4: Biases of CRS calculations with SSF observations. CRS and SSF Ed2F (Ed2B) use MODIS Collection 5 (4).
CRS Ed2F vs. SSF Ed2F and CRS Ed2B vs SSF Ed2B for months of May though December in respective years.

The upper left panel in Figure 4 shows the relative bias of the untuned calculation for reflected SW at TOA with respect to CERES observations in all sky conditions. The relative bias was evaluated from a raw monthly mean of the footprint-by-footprint bias divided by the correpsonding raw monthly mean of the footprint-by-footprint observed flux. It is not a grid-box statistic. Because higher latitudes are observed more frequently than lower latitudes, a footprint-by-footprint statistic places less weight on the tropics than does a grid-box (area-weighted) statistic. The large scale comparison in Figure 4 spans eight-month blocks (May to December), one (2006) for CRS Ed2F and six (2000-2005) for CRS Ed2B. For relative biases of untuned all-sky global SW (upper left) and the correponding tuned all-sky global SW (lower left), CRS Ed2F performance is quite comparable to that of CRS Ed2B. The upper right panel of Figure 4 indicates the untuned, all-sky global simulation of OLR in Ed2F is very much like that in Ed2B. For a description of the Terra CRS software and the more extensive comparison of Ed2F with data see the Data Quality Summary of Terra Edition2B CRS.

While tests of all-sky fields for SW and OLR rely heavily on the quality of the cloud properties used for radiative transfer calculations, differences in the aerosol inputs (i.e., Collection 4 and 5) have more impact on the reflected SW for the clear regions of the ocean. See the lower right of Figure 4 for generally favorable comparison of the calculations in Terra Editon2F CRS with the calculations in Terra Edition2B CRS. However, for all-sky global and clear-sky ocean, both CRS Edition2B and CRS Edition2F calculations have large relative biases (~0.04 or 4%) with respect to CERES observations. This shows both calculations as "too bright" (or the observations as "too dark"). In the same vein, the all-sky SW calculations in Aqua Edition2B/2C CRS are significantly brighter than CERES observations. The all-sky biases in CRS SW calculations with respect to CERES observations at TOA are generally larger than could be explained by Rev1 corrections (see User Applied Revisions for Current Edition).

We now shift to a comparison of Terra Edition2B CRS and Editon2F CRS with surface measurements. Eight months (May to December 2006) of Terra Edition2F CRS were available for this task. To retain seasonal consistency, the same May to December domain is used for the years 2000-2005 with Terra Edition2B CRS. The 17 CAVE sites selected for the test are listed in the bottom of Table 1; vital surface measurements of downwelling SW and downwelling LW were available at almost all of these sites for each month of the test domain. A CRS footprint was compared with a surface measurement when the center of the footprint was within 25 km of the site. There are typically 3 or 4 such footprints for each overpass of Terra. High latitude sites are viewed more frequently than low latitude sites. Hence each site was given an equal weight when determining mean fluxes, biases, etc. While the satellite has some drift (so the solar zenith angle SZA varies), and interannual climate variablitiy is always present, the grand means for TOA solar insolation, sky cover (from MODIS), and precipitable water (PW) for CRS Ed2B and CRS Ed2F in Table 1 are very similar.

Tables 2 and 3 compare untuned and tuned CRS calculations with broadband observations at TOA (from CERES, as in Figure 4) and the surface (ground measurements), all for the domain of the 17 CAVE sites. Values for bias and RMS of the larger Terra CRS Ed2B record are treated in its respective Data Quality Summary. Our main thrust here is a vetting of the shorter record of Terra Edition2F CRS by way of comparison with Ed2B. A glance at the columns for "Ed2B-Ed2F" (bias in Table 2 and RMS in Table 3) shows that for the grand mean of 17 sites, the differences between Terra Edition2F CRS and Edition2B CRS are not significant for most variables.

The largest magnitudes for Ed2B-Ed2F are found in the biases with respect to surface observations for upwelling SW at the surface (-5.69 and -5.95 Wm-2 for untuned and tuned in Table 2). This ~ 6 Wm-2 discrepancy in bias reflected SW at the surface should be compared to the flat Terra Edition2B CRS bias of ~ -20 Wm-2. As site measurements of surface albedo are notoriously dependent on local land use, which can vary from year to year, a ~ 6 Wm-2 discrepancy in upwelling surface SW is not a cause for concern. We do not find an "echo" in the Ed2B-Ed2F columns for SW up at TOA, where the broadband measurements and calculations are in the same spatial domain.

One surprise in Tables 2 and 3 are the statistics for downwelling SW at the surface under clear skies: Despite the differences in aerosol inputs (MODIS Collection 4 for Ed2B versus Collection 5 and some changes to retrieval algorithms by Remer and colleagues for Ed2F), the bias for CRS Ed2F is little different from Ed2B. While aerosol forcing at a given site in CRS Ed2F often differs from that in CRS Ed2B, the effect has largely cancelled for the 17 sites used here. This is a topic for further research.

Table 1: Surface and Satellite Data ( <25km from 17 CAVE sites ) for
Terra CRS Edition 2B (May to December, 2000-2005)
Terra CRS Edition 2F (May to December, 2006)
  Averages Values # CERES looks at site
TOA down (Wm-2) Sky (% clear) SZA (deg) PW (mm)
Ed2F 984.89 51.56 40.09 25.91 15687
Ed2B 989.78 51.11 39.68 25.70 88714
CAVE Sites:
  • Barrow, AK (GMD)
  • Boulder Tower, CO (GMD)
  • Chesapeake Light (LaRC)
  • Desert Rock, NV (SURFRAD)
  • E01-Larned (ARM)
  • E03-LeRoy (ARM)
  • E13-Central Facility (ARM)
  • E20-Meeker (ARM)
  • E22-Cordell (ARM)
  • Fort Peck, MT (SURFRAD)
  • Kwajalein (GMD)
  • Manus Island/TWP (ARM)
  • Nauru Island/TWP (ARM)
  • Penn State, PA (SURFRAD)
  • Samoa (GMD)
  • South Pole (GMD)
  • Table Mountain, Boulder, CO (SURFRAD)

Table 2: CRS Biases at 17 CAVE sites (calculation-observation in Wm-2)
Terra CRS Edition 2B (May to December, 2000-2005)
Terra CRS Edition 2F (May to December, 2006)
 All skyClear sky
Ed2B2B-2FEd2B2B-2F
Untuned SW up TOA9.112.160.160.94
Tuned SW up TOA3.590.830.210.29
Untuned SW down SFC10.983.286.761.06
Tuned SW down SFC17.624.317.102.60
Untuned SW up SFC-20.48-5.69-37.55-4.20
Tuned SW up SFC-20.17-5.95-37.83-4.67
Untuned OLR0.47-0.01-1.480.24
Tuned OLR0.65-0.04-1.210.09
Untuned LW down SFC-6.350.48-8.161.18
Tuned LW down SFC-6.730.41-9.190.94
Untuned LW up SFC-3.81-2.79-1.33-0.99
Tuned LW up SFC-3.56-2.48-1.97-1.08
2 of 17 sites lack surface measurements of upwelling radiation

Table 3: CRS RMS at 17 CAVE sites (calculation vs observation in Wm-2)
Terra CRS Edition 2B (May to December, 2000-2005)
Terra CRS Edition 2F (May to December, 2006)
 All skyClear sky
Ed2B2B-2FEd2B2B-2F
Untuned SW up TOA 24.951.097.630.41
Tuned SW up TOA9.990.832.430.40
Untuned SW down SFC115.5-2.4540.1712.69
Tuned SW down SFC117.34-1.7440.4211.98
Untuned SW up SFC58.029.3958.708.15
Tuned SW up SFC58.359.3358.077.62
Untuned OLR8.220.045.430.07
Tuned OLR4.56-0.022.970.10
Untuned LW down SFC 19.18-0.3015.860.18
Tuned LW down SFC19.46-0.2016.350.14
Untuned LW up SFC25.24-0.7420.97-1.60
Tuned LW up SFC23.96-0.6920.50-0.81
2 of 17 sites lack surface measurements of upwelling radiation

User Applied Revisions for Current Edition

The purpose of User Applied Revisions is to provide the scientific community early access to algorithm improvements which will be included in the future Editions of the CERES data products. The intent is to provide users simple algorithms along with a description of how and why they should be applied in order to capture the most significant improvements prior to their introduction in the production processing environment. It is left to the user to apply a revision to data ordered from the Atmospheric Science Data Center. Note: Users should never apply more than one revision. Revisions are independent.

CRS Edition2F-Rev1

The end product of Terra Edition2F CRS, is a "tuned" flux, which has been constrained to more closely approach CERES observations at TOA by modifying inputs like cloud optical depth, surface albedo, etc. Tuned CRS fluxes are hardly ever equal to observed SSF fluxes. Untuned CRS fluxes can be obtained by subtracting the "adjustment" from the "tuned" flux; the tuned fluxes and the adjustments are archived. Over land and over the cryosphere, even the untuned fluxes are affected by the CERES TOA observations of SW, as they are used to estimate surface albedo. Over the ice-free ocean, CERES TOA SW observations do not affect untuned CRS calculations. In the mean over ice-free ocean, CRS untuned SW calculations at TOA are closer to the Rev1 corrected observations, than they are to original SSF observations.

The CERES Science Team has approved a table of scaling factors known as Rev1. When a user orders a CRS file, an SSF file will come automatically attached; the file has SSF parameters first, then CRS parameters. The broadband SSF observations should be corrected as per the Terra SSF Edition2F Quality Summary.

This revision is necessary to account for spectral darkening of the transmissive optics on the CERES SW channels. In the May to December 2006 span of Terra Edition2F CRS addressed in this document, the Rev1 SW darkening exceeds 1% (as noted previously, Ed2F CRS results such as Figure 4 and Tables 2 and 3 do not account for this). A complete description of the physics of this darkening appears in the CERES BDS Quality Summaries under the Expected Reprocessing section. After application of this revision to the Edition2B CRS data set, users should refer to the data as Aqua Edition2C-Rev1 CRS.

Cautions and Useful Hints

Informal additions to this document will be posted at the CAVE web site under "CRS Advice". This is the first release of a Terra Edition2F CRS, and documentation is sparse. The Quality Summary of Terra Edition2B CRS is more extensive and may be a helpful guide at this stage.

One useful hint concerning Aqua Edition2B/2F CRS (and Terra Edition2B/2F CRS): The computed SARB reflects too much SW flux at TOA, when compared with CERES broadband observations for overcast conditions. Tuning reduces the SW bias at TOA but apparently transfers it to the surface. This SW TOA problem was not so evident in the TRMM Edition2C CRS, which used the VIRS imager (rather than MODIS on Aqua and Terra) for the cloud property retrieval. CAVE shows that the biases in surface SW insolation in Terra Edition2B CRS and Aqua Edition2B/2C CRS are less than those in TRMM Edition2C CRS. Compared with TRMM CRS, Aqua and Terra CRS benefit from both (a) a more up to date parameterization of gaseous absorption of SW and (b) explicit satellite-based retrievals of AOT over land. The common use of the term "2C" in the names of both the Aqua Edition2C CRS and TRMM Edition2C CRS data products is unfortunately confusing. These two products indeed cover, respectively, the Aqua and TRMM spacecraft. But the Aqua Edition2Cand Terra Edition2F algorithms for SSF and CRS are advances on (not the same as) the corresponding TRMM Edition2C algorithms for SSF and CRS.

The Terra Edition2F CRS processed for May to December 2006 employed a climatological height profile for aerosols, rather than the daily varying MATCH profile. Edition2B employed (and subsequent Edition2F processing will employ) the daily varying MATCH profile. An examination of the ratio (of aerosol forcing at TOA to aerosol forcing at the surface) fortunately confirmed that from May to December 2006, Terra Edition2F CRS employed aerosol intensive properties (fraction of small dust, sulfate, etc.) which varied from day to day. The limitation of a climatological height profile for aerosols argues against the use of Terra Edition2F CRS fluxes within the atmosphere (at 500 hPa, 200 hPa, and 70 hPa) for conditions of large aerosol loading during May to December 2006.

Accuracy and Validation

Accuracy and validation discussions are found at the link:

References

Expected Reprocessing

In the longer term, yet more advanced versions of CRS are expected. A future run will use a "frozen" NWP analysis. There will be advances in the TOA fluxes. SSF will use new techniques to identify multilayer clouds. For an indefinite time, however, we anticipate continuing, significant uncertainties in CRS products for

Referencing Data in Journal Articles

The CERES Team has gone to considerable trouble to remove major errors and to verify the quality and accuracy of this data. Please provide a reference to the following paper when you publish scientific results with the CERES Aqua Edition2B CRS data:

Wielicki, B. A., B. R. Barkstrom, E. F. Harrison, R. B. Lee III, G. L. Smith, and J. E. Cooper, 1996: Clouds and the Earth's Radiant Energy System (CERES): An Earth Observing System Experiment, Bull. Amer. Meteor. Soc., 77, 853-868.

When Langley ASDC data are used in a publication, we request the following acknowledgment be included: "These data were obtained from the NASA Langley Research Center EOSDIS Distributed Active Archive Center."

The Langley ASDC requests two reprints of any published papers or reports which cite the use of data that we have distributed. This will help us determine the use of data that we distribute, which is helpful in optimizing product development. It also helps us to keep our product related references current.

Feedback

For questions or comments on the CERES Quality Summary, contact the User and Data Services staff at the Atmospheric Science Data Center.

Informal contact to the SARB WG is accessible by clicking "The Group" at the CAVE web site.


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Document Creation Date: August 26, 2008
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