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© 2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

We developed a new aerosol satellite retrieval algorithm combining a numerical aerosol forecast. In the retrieval algorithm, the short-term forecast from an aerosol data assimilation system was used as an a priori estimate instead of spatially and temporally constant values. This method was demonstrated using observation of the Advanced Himawari Imager onboard the Japan Meteorological Agency's geostationary satellite Himawari-8. Overall, the retrieval results incorporated strengths of the observation and the model and complemented their respective weaknesses, showing spatially finer distributions than the model forecast and less noisy distributions than the original algorithm. We validated the new algorithm using ground observation data and found that the aerosol parameters detectable by satellite sensors were retrieved more accurately than an a priori model forecast by adding satellite information. Further, the satellite retrieval accuracy was improved by introducing the model forecast instead of the constant a priori estimates. By using the assimilated forecast for an a priori estimate, information from previous observations can be propagated to future retrievals, leading to better retrieval accuracy. Observational information from the satellite and aerosol transport by the model are incorporated cyclically to effectively estimate the optimum field of aerosol.

Details

Title
Satellite retrieval of aerosol combined with assimilated forecast
Author
Yoshida, Mayumi 1 ; Yumimoto, Keiya 2   VIAFID ORCID Logo  ; Nagao, Takashi M 3 ; Tanaka, Taichu Y 4   VIAFID ORCID Logo  ; Kikuchi, Maki 5 ; Murakami, Hiroshi 5 

 Japan Aerospace Exploration Agency, Tsukuba, 305-8505, Japan; present address: Remote Sensing Technology Center of Japan, Tsukuba, 305-8505, Japan 
 Research Institute for Applied Mechanics, Kyushu University, Fukuoka, 816-8580, Japan 
 Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, 277-8568, Japan 
 Meteorological Research Institute, Tsukuba, 305-0052, Japan 
 Japan Aerospace Exploration Agency, Tsukuba, 305-8505, Japan 
Pages
1797-1813
Publication year
2021
Publication date
2021
Publisher
Copernicus GmbH
ISSN
16807316
e-ISSN
16807324
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2487670115
Copyright
© 2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.