Abstract

In this study, Aqua-Moderate Resolution Imaging Spectroradiometer (MODIS) Collection (C6) and C6.1 Dark Target aerosol optical depth (AOD) retrievals at 3 km (DT3K) and 10 km (DT10K), Deep Blue AOD retrievals at 10 km (DB10K), and combined DT and DB (DTB) AOD retrievals at 10 km resolutions were validated from 2002 to 2014 against ground-based sunphotometer AOD measurements obtained from the Chinese aerosol remote sensing network (CARSNET). The CARSNET AOD data were obtained for sites at Mt. Waliguan (MW), Lanzhou (LZ), Ulate (UL), and Zhengzhou (ZZ) located in the Yellow River basin (YERB) region, China. Errors and agreement between satellite and ground data were reported using Pearson’s correlation (R) and relative mean bias (RMB). Results showed that the DT3K C6.1 highest quality flag (QF = 3) AOD retrievals were well correlated with the sunphotometer AOD data, with an R of 0.82 and an RMB of 1.01. Overestimation and underestimation in DT AOD retrievals were observed for AOD > 1.1 and AOD < 1.1, respectively. A significant underestimation of 37% in DB10K AOD retrievals was observed across all the sites except ZZ, which was indicated by a low-value RMB (0.63). Spatial distribution maps showed high AOD values (>0.8) over the lower part of the YERB and low AOD values (<0.4) across the upstream part of the YERB. This might be due to a large number of aerosol emissions over the lower developed areas and a scarcity of aerosols over the upstream mountain areas. Overall, this study supports the use of DT10K C6.1 AOD retrievals over the western semi-arid and arid regions of the YERB and DTB10K AOD retrievals over the north-central water system and eastern plain regions of the YERB.

Highlights

  • Aerosols are tiny suspended particles in the earth's atmosphere that can significantly affect climate change, air quality, and human health [1,2,3,4,5,6,7,8]

  • The main objective of this study is to evaluate the performance of the Aqua-Moderate Resolution Imaging Spectroradiometer (MODIS) C6

  • The comparison results for all statistical variables were good by using each quality flag, i.e., when quality flags (QF) > 1, the RMSE was 0.29, R was 0.81, and 44.25% of the groups fell within the expected error (EE)

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Summary

Introduction

Aerosols are tiny suspended particles in the earth's atmosphere that can significantly affect climate change, air quality, and human health [1,2,3,4,5,6,7,8]. Atmosphere 2019, 10, 426 climate-change assessment and air-quality monitoring, it is necessary and crucial to conduct long-term continuous aerosol observations at a regional scale [10,11,12,13]. The Chinese aerosol remote sensing network (CARSNET) [14] These networks provide aerosol optical properties directly by using ground-based sunphotometers [15,16,17]. Satellite remote sensing is expected to become an ideal technology for aerosol optical and radiation characteristic observations at regional and global levels

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