期刊
REMOTE SENSING OF ENVIRONMENT
卷 259, 期 -, 页码 -出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2021.112410
关键词
MODIS; MISR; OMI; MAIAC; Terra; AOD; IGP; South Asia; Size-fractional AOD
资金
- USRA's NAMS R&D Student Program at NASA Ames Research Center
- University Grants Commission under IndiaIsrael bilateral research project [6-11/2018 IC]
- ASEANIndia Science and Technology Development Fund under ASEANIndia Collaborative Research and Development Scheme [CRD/2018/000011]
- NASA/HQ
- AERONET
The study found an increasing trend in aerosol loading over South Asia from 2000 to 2019, with the highest aerosol loading observed during the monsoon season. Natural aerosol emissions and local anthropogenic emissions were identified as the main drivers of high AOD during monsoon and pre-monsoon seasons. High humidity during the monsoon season favored the hygroscopic growth of particles, leading to higher AOD values. The high spatial resolutions of MODIS/MAIAC and MISR aerosol products enabled the identification of previously unobserved aerosol hotspots.
The present study summarizes two decades (2000?2019) of climatology and trends in aerosol loading and optical properties using a high spatial resolution data obtained from NASA?s MODIS MAIAC and MISR aerosol products supplemented by moderate resolution aerosol data from OMI sensor over South Asia (SA). MISR AOD showed good agreement against AERONET AOD with 68.68% of the retrievals falling within the expected error and high Pearson?s correlation coefficient (R = 0.83). The 20 years geometric mean of MAIAC and MISR AOD revealed higher loading of aerosols over the Indo-Gangetic Plain (IGP) and Eastern coast of India by 30% to 44% compared to the mean AOD over the entire SA. The highest mean AOD under cloud-free conditions was noted during monsoon season, followed by pre-monsoon, post-monsoon, and winter. The high contribution of coarsemode AOD (cAOD) mainly from natural aerosol emission and small-mode AOD (sAOD) from local anthropogenic emissions are the main driver to high AOD in monsoon and pre-monsoon seasons. Besides, the presence of high humidity during the monsoon season favors the hygroscopic growth of the particles and leads to higher AOD values over SA. The high spatial resolutions of MODIS/MAIAC and MISR aerosol products enabled the identification of previously unobserved aerosol hotspots over Bihar, West Bengal, and the eastern Indian coastal state of Odisha, which is mainly dominated by small aerosol particles. The contributions of smaller aerosol particles to the total aerosol loading were found to be higher during post-monsoon and winter over most states in India, Nepal, and Bangladesh. In contrast, the contribution of coarser particles was higher over Pakistan during premonsoon and monsoon seasons. Smaller particles were predominantly retrieved over the Indian states dominated by mining industries, including Jharkhand and Odisha. A typical dominance of absorbing carbonaceous aerosols was also noted over the northwestern region of IGP during post-monsoon, which otherwise was mainly affected by mixed dust aerosols and carbonaceous aerosols in pre-monsoon and monsoon seasons. A statistically significant positive temporal trend in AOD was observed for the whole study period, over most of the SA region, which was influenced by the increase in small particles over India and Bangladesh. Urban/industrial weakly absorbing aerosols were found to be the main contributor to a similarly positive trend over Central India and East coast Indian states. Overall, recent advancements in high spatial resolution satellite-based aerosol optical properties showed good potential to identify the aerosol hotspots and constrain aerosol types across a highly polluted SA region.
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