A deep learning-based imputation method for missing gaps in satellite aerosol products by fusing numerical model data

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Liu, Ning;Li, Yi*;Zang, Zengliang;Hu, Yiwen;Fang, Xin;...

通讯作者：

Li, Yi;Zang, ZL

作者机构：

[Liu, Ning; Hu, Yiwen; Li, Yi; Zang, ZL; Zang, Zengliang] Natl Univ Def Technol, Coll Meteorol & Oceanog, Changsha 410003, Peoples R China.

[Zang, ZL; Zang, Zengliang] High Impact Weather Key Lab CMA, Changsha 410003, Peoples R China.

[Fang, Xin] Hunan City Univ, Sch Municipal & Geomat Engn, Yiyang 413000, Peoples R China.

[Lolli, Simone] CNR, Inst Methodol Environm Anal IMAA, Contrada S Loja snc, I-85050 Tito, PZ, Italy.

[Lolli, Simone] UPC, Dept Signal Theory & Commun, CommSensLab, E-08034 Barcelona, Spain.

通讯机构：

[Li, Y; Zang, ZL ] N

Natl Univ Def Technol, Coll Meteorol & Oceanog, Changsha 410003, Peoples R China.

High Impact Weather Key Lab CMA, Changsha 410003, Peoples R China.

语种：

英文

关键词：

Aerosol;Remote sensing;Missing gaps;Deep learning;Spatiotemporal imputation

期刊：

Atmospheric Environment

ISSN：

1352-2310

年：

2024

卷：

325

页码：

120440

DOI：

10.1016/j.atmosenv.2024.120440

基金类别：

CRediT authorship contribution statement Ning Liu: Writing – review & editing, Writing – original draft, Visualization, Validation, Methodology. Yi Li: Writing – review & editing, acquisition. Zengliang Zang: Writing – review & editing, acquisition. Yiwen Hu: Writing – review & editing. Xin Fang: Writing – review & editing, acquisition. Simone Lolli: Writing – review & editing.

机构署名：

本校为其他机构

院系归属：

市政与测绘工程学院

摘要：

Satellite-based aerosol optical depth (AOD) products are commonly used in various aerosol-related studies, such as aerosol pollution mapping and aerosol-climate interactions. However, these satellite AOD products often suffer from significant missing gaps due to cloud cover and limitations in the retrieval algorithm. To address this issue, some studies take advantage of real-time seamless simulation of numerical models and successfully fill in these gaps by establishing a regression relationship between satellite AOD and numerical model AOD. Ho...

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A deep learning-based imputation method for missing gaps in satellite aerosol products by fusing numerical model data

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