Issue |
E3S Web of Conf.
Volume 485, 2024
The 7th Environmental Technology and Management Conference (ETMC 2023)
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Article Number | 06003 | |
Number of page(s) | 9 | |
Section | Air Quality Monitoring and Modelling, Emission Inventory, and Control | |
DOI | https://doi.org/10.1051/e3sconf/202448506003 | |
Published online | 02 February 2024 |
Evaluation of MERRA-2 and MODIS C6.1 aerosol products over Indonesia
Climatology Department, Agency for Meteorology Climatology and Geophysics of Republic of In-donesia (BMKG), Jl. Angkasa I, No. 2, Kemayoran, Jakarta 10720, Indonesia
* Corresponding author: aulia.nisaul@bmkg.go.id
Atmospheric aerosols play an essential role in atmospheric chemistry and climate. Amidst the issue of climate change, analysis of at-mospheric aerosols based on satellite and reanalysis is needed to estimate radiative forcing by aerosols, completing the spatial gap obtained from ground-based observation data. This research aims to evaluate the satellite and reanalysis aerosol products including Modern-Era Retrospective analy-sis for Research and Applications Version 2 (MERRA-2) and Moderate Res-olution Imaging Spectroradiometer (MODIS) Collection 6.1 (C6.1) over In-donesia in the recent two decades, 2001 - 2020. The long-term performance of MERRA-2 and MODIS C6.1 is evaluated using the Aerosol Robotic Net-work (AERONET)-derived AOD. In general, the results show that the cor-relation of the two data models is good. The average correlation between AOD data obtained from AERONET to MERRA-2 and MODIS C6.1 was 0.8 and 0.5 at all locations, respectively. Meanwhile, the average RMSE val-ues for MERRA-2 and MODIS C6.1 were 0.24 and 0.26 at all locations, respectively. This study successfully assessed the performance of MERRA-2 and MODIS C6.1 in Indonesia as an initial study. This initial study verifies that MERRA-2 and MODIS C6.1 can be used to complement surface data in Indonesia.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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