A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches

Xing Yan; Zhou Zang; Zhanqing Li; Nana Luo; Chen  Zuo; Yize Jiang; Dan Li; Yushan Guo; Wenji Zhao; Wen Zhong Shi; Maureen Cribb

A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches

Xing Yan
, Zhou Zang
, Zhanqing Li
, Nana Luo
, Chen Zuo
, Yize Jiang
, Dan Li
, Yushan Guo
, Wenji Zhao
, Wen Zhong Shi
, Maureen Cribb

Department of Land Surveying and Geo-Informatics

Research output: Journal article publication › Journal article › Academic research › peer-review

Original language	English
Pages (from-to)	1193–1213
Journal	Earth System Science Data
Volume	14
Issue number	3
Publication status	Published - 16 Mar 2022

Cite this

@article{7fd4365f14ea49048d0552a131271e0e,

title = "A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches",

author = "Xing Yan and Zhou Zang and Zhanqing Li and Nana Luo and Chen Zuo and Yize Jiang and Dan Li and Yushan Guo and Wenji Zhao and Shi, \{Wen Zhong\} and Maureen Cribb",

year = "2022",

month = mar,

day = "16",

language = "English",

volume = "14",

pages = "1193–1213",

journal = "Earth System Science Data",

issn = "1866-3508",

publisher = "Copernicus Publications",

number = "3",

}

TY - JOUR

T1 - A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches

AU - Yan, Xing

AU - Zang, Zhou

AU - Li, Zhanqing

AU - Luo, Nana

AU - Zuo, Chen

AU - Jiang, Yize

AU - Li, Dan

AU - Guo, Yushan

AU - Zhao, Wenji

AU - Shi, Wen Zhong

AU - Cribb, Maureen

PY - 2022/3/16

Y1 - 2022/3/16

M3 - Journal article

SN - 1866-3508

VL - 14

SP - 1193

EP - 1213

JO - Earth System Science Data

JF - Earth System Science Data

IS - 3

ER -