Validation of Two MODIS Aerosols Algorithms with SKYNET and Prospects for Future Climate Satellites Such as the GCOM-C/SGLI

Potential improvements of aerosols algorithms for future climate-oriented satellites such as the coming Global Change Observation Mission Climate/Second generation Global Imager (GCOM-C/SGLI) are discussed based on a validation study of three years’ (2008–2010) daily aerosols properties, that is, th...

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Main Authors: Jules R. Dim, Tamio Takamura, Akiko Higurashi, Pradeep Kathri, Nobuyuki Kikuchi, Takahashi Y. Nakajima
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2013/508064
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author Jules R. Dim
Tamio Takamura
Akiko Higurashi
Pradeep Kathri
Nobuyuki Kikuchi
Takahashi Y. Nakajima
author_facet Jules R. Dim
Tamio Takamura
Akiko Higurashi
Pradeep Kathri
Nobuyuki Kikuchi
Takahashi Y. Nakajima
author_sort Jules R. Dim
collection DOAJ
description Potential improvements of aerosols algorithms for future climate-oriented satellites such as the coming Global Change Observation Mission Climate/Second generation Global Imager (GCOM-C/SGLI) are discussed based on a validation study of three years’ (2008–2010) daily aerosols properties, that is, the aerosol optical thickness (AOT) and the Ångström exponent (AE) retrieved from two MODIS algorithms. The ground-truth data used for this validation study are aerosols measurements from 3 SKYNET ground sites. The results obtained show a good agreement between the ground-truth data AOT and that of one of the satellites’ algorithms, then a systematic overestimation (around 0.2) by the other satellites’ algorithm. The examination of the AE shows a clear underestimation (by around 0.2–0.3) by both satellites’ algorithms. The uncertainties explaining these ground-satellites’ algorithms discrepancies are examined: the cloud contamination affects differently the aerosols properties (AOT and AE) of both satellites’ algorithms due to the retrieval scale differences between these algorithms. The deviation of the real part of the refractive index values assumed by the satellites’ algorithms from that of the ground tends to decrease the accuracy of the AOT of both satellites’ algorithms. The asymmetry factor (AF) of the ground tends to increase the AE ground-satellites discrepancies as well.
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issn 1687-9309
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spelling doaj-art-17b6dbef99ed4319a4228af948cf0d0e2025-02-03T01:26:18ZengWileyAdvances in Meteorology1687-93091687-93172013-01-01201310.1155/2013/508064508064Validation of Two MODIS Aerosols Algorithms with SKYNET and Prospects for Future Climate Satellites Such as the GCOM-C/SGLIJules R. Dim0Tamio Takamura1Akiko Higurashi2Pradeep Kathri3Nobuyuki Kikuchi4Takahashi Y. Nakajima5Earth Observation Research Center/JAXA, 2-1-1 Sengen, Tsukuba, Ibaraki 305-8505, JapanCenter for Environmental Remote Sensing (CEReS), Chiba University, 1-33 Yayoi-Cho, Inage-Ku, Chiba 263-8522, JapanCenter for Environmental Measurement and Analysis, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, JapanCenter for Environmental Remote Sensing (CEReS), Chiba University, 1-33 Yayoi-Cho, Inage-Ku, Chiba 263-8522, JapanCenter for Environmental Measurement and Analysis, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, JapanDepartment of Network and Computer Engineering, Tokai University, 2-28-4 Tomigaya, Shibuya-ku, Tokyo 151-0063, JapanPotential improvements of aerosols algorithms for future climate-oriented satellites such as the coming Global Change Observation Mission Climate/Second generation Global Imager (GCOM-C/SGLI) are discussed based on a validation study of three years’ (2008–2010) daily aerosols properties, that is, the aerosol optical thickness (AOT) and the Ångström exponent (AE) retrieved from two MODIS algorithms. The ground-truth data used for this validation study are aerosols measurements from 3 SKYNET ground sites. The results obtained show a good agreement between the ground-truth data AOT and that of one of the satellites’ algorithms, then a systematic overestimation (around 0.2) by the other satellites’ algorithm. The examination of the AE shows a clear underestimation (by around 0.2–0.3) by both satellites’ algorithms. The uncertainties explaining these ground-satellites’ algorithms discrepancies are examined: the cloud contamination affects differently the aerosols properties (AOT and AE) of both satellites’ algorithms due to the retrieval scale differences between these algorithms. The deviation of the real part of the refractive index values assumed by the satellites’ algorithms from that of the ground tends to decrease the accuracy of the AOT of both satellites’ algorithms. The asymmetry factor (AF) of the ground tends to increase the AE ground-satellites discrepancies as well.http://dx.doi.org/10.1155/2013/508064
spellingShingle Jules R. Dim
Tamio Takamura
Akiko Higurashi
Pradeep Kathri
Nobuyuki Kikuchi
Takahashi Y. Nakajima
Validation of Two MODIS Aerosols Algorithms with SKYNET and Prospects for Future Climate Satellites Such as the GCOM-C/SGLI
Advances in Meteorology
title Validation of Two MODIS Aerosols Algorithms with SKYNET and Prospects for Future Climate Satellites Such as the GCOM-C/SGLI
title_full Validation of Two MODIS Aerosols Algorithms with SKYNET and Prospects for Future Climate Satellites Such as the GCOM-C/SGLI
title_fullStr Validation of Two MODIS Aerosols Algorithms with SKYNET and Prospects for Future Climate Satellites Such as the GCOM-C/SGLI
title_full_unstemmed Validation of Two MODIS Aerosols Algorithms with SKYNET and Prospects for Future Climate Satellites Such as the GCOM-C/SGLI
title_short Validation of Two MODIS Aerosols Algorithms with SKYNET and Prospects for Future Climate Satellites Such as the GCOM-C/SGLI
title_sort validation of two modis aerosols algorithms with skynet and prospects for future climate satellites such as the gcom c sgli
url http://dx.doi.org/10.1155/2013/508064
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