Articles | Volume 21, issue 3
Research article
10 Feb 2021
Research article |  | 10 Feb 2021

Satellite retrieval of aerosol combined with assimilated forecast

Mayumi Yoshida, Keiya Yumimoto, Takashi M. Nagao, Taichu Y. Tanaka, Maki Kikuchi, and Hiroshi Murakami


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mayumi Yoshida on behalf of the Authors (16 Nov 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Nov 2020) by Stelios Kazadzis
RR by Anonymous Referee #3 (03 Dec 2020)
ED: Publish as is (04 Dec 2020) by Stelios Kazadzis
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.
Final-revised paper