Satellite retrieval of aerosol combined with assimilated forecast
<p>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...
Main Authors: | M. Yoshida, K. Yumimoto, T. M. Nagao, T. Y. Tanaka, M. Kikuchi, H. Murakami |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-02-01
|
Series: | Atmospheric Chemistry and Physics |
Online Access: | https://acp.copernicus.org/articles/21/1797/2021/acp-21-1797-2021.pdf |
Similar Items
-
Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations
by: Seunghee Lee, et al.
Published: (2022-04-01) -
JRAero: the Japanese Reanalysis for Aerosol v1.0
by: K. Yumimoto, et al.
Published: (2017-09-01) -
Assimilation of lidar signals: application to aerosol forecasting in the western Mediterranean basin
by: Y. Wang, et al.
Published: (2014-11-01) -
Data assimilation of dust aerosol observations for the CUACE/dust forecasting system
by: T. Niu, et al.
Published: (2008-07-01) -
Data assimilation of CALIPSO aerosol observations
by: T. T. Sekiyama, et al.
Published: (2010-01-01)