ResearcherID.com
ResearcherID Thomson Reuters  

Ciren, Pubu
Create a ResearcherID badge for this researcher View publications analytics for this researcher
Close
ResearcherID: E-6542-2011
URL: http://www.researcherid.com/rid/E-6542-2011
Subject: Remote Sensing
My Institutions (more details)
Primary Institution:
Sub-org/Dept: Dell services federal goverment
Role:
My URLs: http://www.star.nesdis.noaa.gov/star/index.php
 
 

This list contains papers that I have authored.

publication(s)  
First Page Previous Page Page   of  3  Go Next Page Last Page
  Sort by:    Results per page: 
1. Title: An enhanced VIIRS aerosol optical thickness (AOT) retrieval algorithm over land using a global surface reflectance ratio database
Author(s): Zhang, Hai; Kondragunta, Shobha; Laszlo, Istvan; et al.
Source: Journal of Geophysical Research: Atmospheres Volume: 121 Issue: 18 Pages: 10,717-10,738 Published: 2016
DOI: 10.1002/2016jd024859 / Author-provided URL : http://dx.doi.org/10.1002/2016JD024859
added
31-Oct-16
2. Title: Assessment of human health impact from exposure to multiple air pollutants in China based on satellite observations
Author(s): Yu, Tao; Wang, Wen; Ciren, Pubu; et al.
Source: International Journal of Applied Earth Observation and Geoinformation Volume: 52 Pages: 542-553 Published: 2016
Times Cited: 0
DOI: 10.1016/j.jag.2016.07.020 / Author-provided URL : http://www.sciencedirect.com/science/article/pii/S0303243416301283
added
23-Sep-16
3. Title: Validation and expected error estimation of Suomi-NPP VIIRS aerosol optical thickness and Angstrom exponent with AERONET
Author(s): Huang, Jingfeng; Kondragunta, Shobha; Laszlo, Istvan; et al.
Source: Journal of Geophysical Research-Atmospheres Volume: 121 Issue: 12 Pages: 7139-7160 Published: JUN 27 2016
Times Cited: 0
DOI: 10.1002/2016JD024834
added
12-Sep-16
4. Title: Assessment of human health impact from PM10 exposure in China based on satellite observations
Author(s): Wang, Wen; Yu, Tao; Ciren, Pubu; et al.
Source: Journal of Applied Remote Sensing Volume: 9 Published: JUL 20 2015
Times Cited: 2
DOI: 10.1117/1.JRS.9.096027
added
06-Jan-16
5. Title: Dust aerosol index (DAI) algorithm for MODIS
Author(s): Ciren, Pubu; Kondragunta, Shobha
Source: Journal of Geophysical Research-Atmospheres Volume: 119 Issue: 8 Pages: 4770-4792 Published: APR 27 2014
Times Cited: 3
DOI: 10.1002/2013JD020855
added
12-Jun-14
6. Title: A multi-angle aerosol optical depth retrieval algorithm for geostationary satellite data over the United States
Author(s): Zhang, H.; Lyapustin, A.; Wang, Y.; et al.
Source: Atmospheric Chemistry and Physics Volume: 11 Issue: 23 Pages: 11977-11991 Published: 2011
Times Cited: 11
DOI: 10.5194/acp-11-11977-2011
added
06-Feb-12
7. Title: Comparison of GOES and MODIS Aerosol Optical Depth (AOD) to Aerosol Robotic Network (AERONET) AOD and IMPROVE PM(2.5) Mass at Bondville, Illinois
Author(s): Green, Mark; Kondragunta, Shobha; Ciren, Pubu; et al.
Source: Journal of the Air & Waste Management Association Volume: 59 Issue: 9 Pages: 1082-1091 Published: SEP 2009
Times Cited: 15
DOI: 10.3155/1047-3289.59.9.1082
added
17-Aug-11
8. Title: Air quality forecast verification using satellite data
Author(s): Kondragunta, S.; Lee, P.; Mcqueen, J.; et al.
Source: Journal of Applied Meteorology and Climatology Volume: 47 Issue: 2 Pages: 425-442 Published: FEB 2008
Times Cited: 18
DOI: 10.1175/2007JAMC1392.1
added
17-Aug-11
9. Title: Influence of the ozone and water vapor on the GOES Aerosol and Smoke Product (GASP) retrieval
Author(s): Zhang, Hai; Hoff, Raymond; McCann, Kevin; et al.
Author-provided URL : http://docs.lib.noaa.gov/noaa_documents/NESDIS/TR_NESDIS/TR_NESDIS_128.pdf
added
26-Aug-11
10. Title: Remote sensing of aerosol and radiation from geostationary satellites
Author(s): Laszlo, Istvan; Ciren, Pubu; Liu, Hongqing; et al.
Source: Advances in Space Research Volume: 41 Issue: 11 Pages: 1882-1893 Published: 2008
Times Cited: 19
DOI: 10.1016/j.asr.2007.06.047
added
17-Aug-11
publication(s)  
First Page Previous Page Page   of  3  Go Next Page Last Page
  Sort by:    Results per page: