Articles | Volume 21, issue 3
https://doi.org/10.5194/acp-21-1797-2021
© Author(s) 2021. 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-21-1797-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Satellite retrieval of aerosol combined with assimilated forecast
Mayumi Yoshida
CORRESPONDING AUTHOR
Japan Aerospace Exploration Agency, Tsukuba, 305-8505, Japan
present
address: Remote Sensing Technology Center of Japan, Tsukuba, 305-8505,
Japan
Keiya Yumimoto
Research Institute for Applied Mechanics, Kyushu University, Fukuoka,
816-8580, Japan
Takashi M. Nagao
Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba,
277-8568, Japan
Taichu Y. Tanaka
Meteorological Research Institute, Tsukuba, 305-0052, Japan
Maki Kikuchi
Japan Aerospace Exploration Agency, Tsukuba, 305-8505, Japan
Hiroshi Murakami
Japan Aerospace Exploration Agency, Tsukuba, 305-8505, Japan
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22 citations as recorded by crossref.
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- Enhanced Simulation of an Asian Dust Storm by Assimilating GCOM-C Observations Y. Cheng et al. 10.3390/rs13153020
- Air quality impacts on rooftop photovoltaic energy production during the 2019–2020 Australian bushfires season A. Isaza et al. 10.1016/j.solener.2023.04.014
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- Retrieval of hourly aerosol single scattering albedo over land using geostationary satellite data X. Jiang et al. 10.1038/s41612-024-00690-6
- Observation-based quantification of aerosol transport using optical flow: A satellite perspective to characterize interregional transport of atmospheric pollution T. Zhang et al. 10.1016/j.rse.2024.114457
- Himawari-8 High Temporal Resolution AOD Products Recovery: Nested Bayesian Maximum Entropy Fusion Blending GEO With SSO Satellite Observations T. Zhang et al. 10.1109/TGRS.2023.3262785
- Analysis and validation of ocean color and aerosol properties over coastal regions from SGLI based on a simultaneous method M. Sekiguchi et al. 10.1007/s10872-021-00627-0
- A Geometry-Discrete Minimum Reflectance Aerosol Retrieval Algorithm (GeoMRA) for Geostationary Meteorological Satellite Over Heterogeneous Surfaces T. Zhang et al. 10.1109/TGRS.2022.3200425
- Diurnal time representation of MODIS, VIIRS, MISR, and AHI over Asia and Oceania Z. Yang et al. 10.1016/j.rse.2023.113878
- Validation, inter-comparison, and usage recommendation of six latest VIIRS and MODIS aerosol products over the ocean and land on the global and regional scales X. Su et al. 10.1016/j.scitotenv.2023.163794
- Improved hourly estimate of aerosol optical thickness over Asian land by fusing geostationary satellites Fengyun-4B and Himawari-9 Y. Cheng et al. 10.1016/j.scitotenv.2024.171541
- Precipitable water vapor estimation from Himawari-8/AHI observations using a stacking machine learning model Z. Du et al. 10.1016/j.atmosres.2024.107281
- System vicarious calibration of GCOM-C/SGLI visible and near-infrared channels H. Murakami et al. 10.1007/s10872-022-00632-x
- Cloud Optical Thickness Estimation Over Oceans Combining Active and Passive Information of ICESat-2 X. Liu et al. 10.1109/TGRS.2024.3471916
- Accuracy and error cause analysis, and recommendations for usage of Himawari-8 aerosol products over Asia and Oceania L. Feng et al. 10.1016/j.scitotenv.2021.148958
- Evaluation and uncertainty analysis of Himawari-8 hourly aerosol product version 3.1 and its influence on surface solar radiation before and during the COVID-19 outbreak C. Tang et al. 10.1016/j.scitotenv.2023.164456
- Fengyun 4A Land Aerosol Retrieval: Algorithm Development, Validation, and Comparison With Other Datasets X. Su et al. 10.1109/TGRS.2023.3330544
- Geographical coverage analysis and usage suggestions of temporal averaged aerosol optical depth product from GOES-R satellite data X. Jiang et al. 10.1080/01431161.2024.2331978
- Evaluation of LaSRC aerosol optical depth from Landsat-8 and Sentinel-2 in Guangdong-Hong Kong-Macao greater bay area, China Y. Jin et al. 10.1016/j.atmosenv.2022.119128
- Improvement in Dust Storm Simulation by Considering Stone Coverage Effects for Stony Deserts in East Asia T. Sekiyama et al. 10.1029/2022JD037295
Latest update: 03 Nov 2024
Short summary
We developed a new aerosol satellite retrieval algorithm combining a numerical aerosol forecast. This is the first study that utilizes the assimilated model forecast of aerosol as an a priori estimate of the retrieval. Aerosol retrievals were improved by effectively incorporating both model and satellite information. By using the assimilated forecast as an a priori estimate, information from previous observations can be propagated to future retrievals, thus leading to better retrieval accuracy.
We developed a new aerosol satellite retrieval algorithm combining a numerical aerosol forecast....
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