首页|Can MODIS Detect Trends in Aerosol Optical Depth over Land?

Can MODIS Detect Trends in Aerosol Optical Depth over Land?

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The Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA's Aqua satellite has been collecting valuable data about the Earth system for more than 14 years,and one of the benefits of this is that it has made it possible to detect the long-term variation in aerosol loading across the globe.However,the long-term aerosol optical depth (AOD)trends derived from MODIS need careful validation and assessment,especially over land.Using AOD products with at least 70 months' worth of measurements collected during 2002-15 at 53 Aerosol Robotic Network (AERONET) sites over land,Mann-Kendall (MK) trends in AOD were derived and taken as the ground truth data for evaluating the corresponding results from MODIS onboard Aqua.The results showed that the AERONET AOD trends over all sites in Europe and North America,as well as most sites in Africa and Asia,can be reproduced by MODIS/Aqua.However,disagreement in AOD trends between MODIS and AERONET was found at a few sites in Australia and South America.The AOD trends calculated from AERONET instantaneous data at the MODIS overpass times were consistent with those from AERONET daily data,which suggests that the AOD trends derived from satellite measurements of 1-2 overpasses may be representative of those from daily measurements.

MODISAERONETAerosol Optical DepthMann-Kendall trend test

Xuehua FAN、Xiang'ao XIA、Hongbin CHEN

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Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing 100029, China

School of the Earth Science, Chinese Academy of Science University, Beijing 100049, China

Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology, Nanjing 210044, China

This work was supported by the National Natural Science Foundation of ChinaThis work was supported by the National Natural Science Foundation of ChinaThis work was supported by the National Natural Science Foundation of ChinaWe are grateful to the AERONET team and MAPSS team,especially the PIs of the selected AERONET sites,for providing the data used We are also thankful for the suggestions and comments from the two anonymous reviewers and the editor,which helped to improve th

414750274147513841675033

2018

大气科学进展(英文版)
中国科学院大气物理研究所

大气科学进展(英文版)

CSTPCDCSCDSCI
影响因子：0.741
ISSN：0256-1530
年,卷(期)：2018.35(2)
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