Articles | Volume 19, issue 1
https://doi.org/10.5194/acp-19-259-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-259-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jan 2019
Research article |
| 08 Jan 2019
| 08 Jan 2019
Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals
NASA Goddard Space Flight Center, Greenbelt, MD, USA
GESTAR, USRA, Columbia, MD, USA
Robert C. Levy
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Thomas F. Eck
NASA Goddard Space Flight Center, Greenbelt, MD, USA
GESTAR, USRA, Columbia, MD, USA
Brad Fisher
NASA Goddard Space Flight Center, Greenbelt, MD, USA
SSAI, Lanham, MD, USA
Shana Mattoo
NASA Goddard Space Flight Center, Greenbelt, MD, USA
SSAI, Lanham, MD, USA
Lorraine A. Remer
UMBC/JCET, Baltimore, MD, USA
Ilya Slutsker
NASA Goddard Space Flight Center, Greenbelt, MD, USA
SSAI, Lanham, MD, USA
Jianglong Zhang
UND, Grand Forks, ND, USA
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39 citations as recorded by crossref.
- On the importance of the model representation of organic aerosol in simulations of the direct radiative effect of Siberian biomass burning aerosol in the eastern Arctic I. Konovalov et al. 10.1016/j.atmosenv.2023.119910
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- Drainage canal impacts on smoke aerosol emissions for Indonesian peatland and non-peatland fires X. Lu et al. 10.1088/1748-9326/ac2011
- The extreme forest fires in California/Oregon in 2020: Aerosol optical and physical properties and comparisons of aged versus fresh smoke T. Eck et al. 10.1016/j.atmosenv.2023.119798
- Fate of Pollution Emitted During the 2015 Indonesian Fire Season M. Park et al. 10.1029/2020JD033474
- Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation J. Lee et al. 10.3390/rs13030456
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- Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
- On the cause-and-effect relations between aerosols, water vapor, and clouds over East Asia S. Stathopoulos et al. 10.1007/s00704-021-03563-7
- Evaluation of Novel NASA Moderate Resolution Imaging Spectroradiometer and Visible Infrared Imaging Radiometer Suite Aerosol Products and Assessment of Smoke Height Boundary Layer Ratio During Extreme Smoke Events in the Western USA S. Loría‐Salazar et al. 10.1029/2020JD034180
- Geostationary aerosol retrievals of extreme biomass burning plumes during the 2019–2020 Australian bushfires D. Robbins et al. 10.5194/amt-17-3279-2024
- Dynamics of Microphysical Parameters of Pyrolysis Smoke Based on the Results of Inversion of Aerosol Scattering and Extinction Coefficients in the Big Aerosol Chamber of IAO SB RAS V. Veretennikov et al. 10.1134/S1024856024700416
- Investigating the Spatial and Temporal Limitations for Remote Sensing of Wildfire Smoke Using Satellite and Airborne Imagers During FIREX‐AQ Y. Shi et al. 10.1029/2023JD039085
- Performance of MODIS Deep Blue Collection 6.1 Aerosol Optical Depth Products Over Indonesia: Spatiotemporal Variations and Aerosol Types R. Hutauruk et al. 10.1155/2022/7544310
- AERONET Remotely Sensed Measurements and Retrievals of Biomass Burning Aerosol Optical Properties During the 2015 Indonesian Burning Season T. Eck et al. 10.1029/2018JD030182
- Characterization of carbonaceous compounds emitted from Indonesian surface and sub surface peat burning P. Lestari et al. 10.1016/j.apr.2020.06.001
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- Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China X. Chen et al. 10.3390/rs12030467
- A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading Y. Shi et al. 10.5194/amt-14-3449-2021
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- Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
- A Decadal Climatology of Chemical, Physical, and Optical Properties of Ambient Smoke in the Western and Southeastern United States Q. Bian et al. 10.1029/2019JD031372
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- A global evaluation of daily to seasonal aerosol and water vapor relationships using a combination of AERONET and NAAPS reanalysis data J. Rubin et al. 10.5194/acp-23-4059-2023
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Latest update: 20 Nov 2024
Short summary
The Indonesian fire and smoke event of 2015 was an extreme episode that affected public health and caused severe economic and environmental damage. We managed to retrieve data over very thick smoke plumes and produce a lot more high aerosol loading data that were previously missed by other satellite products. These results will benefit varieties of downstream research that use the satellite aerosol data and will influence the future development of the global satellite aerosol algorithm.
The Indonesian fire and smoke event of 2015 was an extreme episode that affected public health...
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