Performance of MODIS Deep Blue Collection 6.1 Aerosol Optical Depth Products Over Indonesia: Spatiotemporal Variations and Aerosol Types
This study aims to evaluate the performance of the long-term Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue (DB) Collection 6.1 (C6.1) in determining the spatiotemporal variation of aerosol optical depth (AOD) and aerosol types over Indonesia. For this purpose, monthly MODIS D...
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ftdoajarticles:oai:doaj.org/article:b0cebe11c5b645468e4c34193c47fcff 2024-09-15T17:35:14+00:00 Performance of MODIS Deep Blue Collection 6.1 Aerosol Optical Depth Products Over Indonesia: Spatiotemporal Variations and Aerosol Types Rheinhart C. H. Hutauruk Donaldi S. Permana Imron A. Rangga Cici Sucianingsih Tri A. Nuraini 2022-01-01T00:00:00Z https://doi.org/10.1155/2022/7544310 https://doaj.org/article/b0cebe11c5b645468e4c34193c47fcff EN eng Wiley http://dx.doi.org/10.1155/2022/7544310 https://doaj.org/toc/1687-9317 1687-9317 doi:10.1155/2022/7544310 https://doaj.org/article/b0cebe11c5b645468e4c34193c47fcff Advances in Meteorology, Vol 2022 (2022) Meteorology. Climatology QC851-999 article 2022 ftdoajarticles https://doi.org/10.1155/2022/7544310 2024-08-05T17:48:33Z This study aims to evaluate the performance of the long-term Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue (DB) Collection 6.1 (C6.1) in determining the spatiotemporal variation of aerosol optical depth (AOD) and aerosol types over Indonesia. For this purpose, monthly MODIS DB AOD datasets are directly compared with Aerosol Robotic Network (AERONET) Version 3 Level 2.0 (cloud-screened and quality-assured) monthly measurements at 8 sites throughout Indonesia. The results indicate that MODIS DB AOD retrievals and AERONET AOD measurements have a high correlation in Sumatra Island (i.e., Kototabang (r = 0.88) and Jambi (r = 0.9)) and Kalimantan Island (i.e., Palangkaraya (r = 0.89) and Pontianak (r = 0.92)). However, the correlations are low in Bandung, Palu, and Sorong. In general, MODIS DB AOD tends to overestimate AERONET AOD at all sites by 16 to 61% and can detect extreme fire events in Sumatra and Kalimantan Islands quite well. Aerosol types in Indonesia mostly consist of clean continental, followed by biomass burning/urban industrial and mixed aerosols. Palu and Sorong had the highest clean continental aerosol contribution (90%), while Bandung had the highest biomass burning/urban-industrial aerosol contribution to atmospheric composition (93.7%). For mixed aerosols, the highest contribution was found in Pontianak, with a proportion of 48.4%. Spatially, the annual mean AOD in the western part of Indonesia is higher than in the eastern part. Seasonally, the highest AOD is observed during the period of September–November, which is associated with the emergence of fire events. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Advances in Meteorology 2022 1 12 |
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Directory of Open Access Journals: DOAJ Articles |
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language |
English |
topic |
Meteorology. Climatology QC851-999 |
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Meteorology. Climatology QC851-999 Rheinhart C. H. Hutauruk Donaldi S. Permana Imron A. Rangga Cici Sucianingsih Tri A. Nuraini Performance of MODIS Deep Blue Collection 6.1 Aerosol Optical Depth Products Over Indonesia: Spatiotemporal Variations and Aerosol Types |
topic_facet |
Meteorology. Climatology QC851-999 |
description |
This study aims to evaluate the performance of the long-term Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue (DB) Collection 6.1 (C6.1) in determining the spatiotemporal variation of aerosol optical depth (AOD) and aerosol types over Indonesia. For this purpose, monthly MODIS DB AOD datasets are directly compared with Aerosol Robotic Network (AERONET) Version 3 Level 2.0 (cloud-screened and quality-assured) monthly measurements at 8 sites throughout Indonesia. The results indicate that MODIS DB AOD retrievals and AERONET AOD measurements have a high correlation in Sumatra Island (i.e., Kototabang (r = 0.88) and Jambi (r = 0.9)) and Kalimantan Island (i.e., Palangkaraya (r = 0.89) and Pontianak (r = 0.92)). However, the correlations are low in Bandung, Palu, and Sorong. In general, MODIS DB AOD tends to overestimate AERONET AOD at all sites by 16 to 61% and can detect extreme fire events in Sumatra and Kalimantan Islands quite well. Aerosol types in Indonesia mostly consist of clean continental, followed by biomass burning/urban industrial and mixed aerosols. Palu and Sorong had the highest clean continental aerosol contribution (90%), while Bandung had the highest biomass burning/urban-industrial aerosol contribution to atmospheric composition (93.7%). For mixed aerosols, the highest contribution was found in Pontianak, with a proportion of 48.4%. Spatially, the annual mean AOD in the western part of Indonesia is higher than in the eastern part. Seasonally, the highest AOD is observed during the period of September–November, which is associated with the emergence of fire events. |
format |
Article in Journal/Newspaper |
author |
Rheinhart C. H. Hutauruk Donaldi S. Permana Imron A. Rangga Cici Sucianingsih Tri A. Nuraini |
author_facet |
Rheinhart C. H. Hutauruk Donaldi S. Permana Imron A. Rangga Cici Sucianingsih Tri A. Nuraini |
author_sort |
Rheinhart C. H. Hutauruk |
title |
Performance of MODIS Deep Blue Collection 6.1 Aerosol Optical Depth Products Over Indonesia: Spatiotemporal Variations and Aerosol Types |
title_short |
Performance of MODIS Deep Blue Collection 6.1 Aerosol Optical Depth Products Over Indonesia: Spatiotemporal Variations and Aerosol Types |
title_full |
Performance of MODIS Deep Blue Collection 6.1 Aerosol Optical Depth Products Over Indonesia: Spatiotemporal Variations and Aerosol Types |
title_fullStr |
Performance of MODIS Deep Blue Collection 6.1 Aerosol Optical Depth Products Over Indonesia: Spatiotemporal Variations and Aerosol Types |
title_full_unstemmed |
Performance of MODIS Deep Blue Collection 6.1 Aerosol Optical Depth Products Over Indonesia: Spatiotemporal Variations and Aerosol Types |
title_sort |
performance of modis deep blue collection 6.1 aerosol optical depth products over indonesia: spatiotemporal variations and aerosol types |
publisher |
Wiley |
publishDate |
2022 |
url |
https://doi.org/10.1155/2022/7544310 https://doaj.org/article/b0cebe11c5b645468e4c34193c47fcff |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Advances in Meteorology, Vol 2022 (2022) |
op_relation |
http://dx.doi.org/10.1155/2022/7544310 https://doaj.org/toc/1687-9317 1687-9317 doi:10.1155/2022/7544310 https://doaj.org/article/b0cebe11c5b645468e4c34193c47fcff |
op_doi |
https://doi.org/10.1155/2022/7544310 |
container_title |
Advances in Meteorology |
container_volume |
2022 |
container_start_page |
1 |
op_container_end_page |
12 |
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1810446180506664960 |