Combination of Snow Process Model Priors and Site Representativeness Evaluation to Improve the Global Snow Depth Retrieval Based on Passive Microwaves-Reference-Cited by-同舟云学术

Combination of Snow Process Model Priors and Site Representativeness Evaluation to Improve the Global Snow Depth Retrieval Based on Passive Microwaves

Published:2023 Issue: Volume:61 Page:1-20
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Pan Jinmei¹^ORCID,Yang Jianwei²,Jiang Lingmei²^ORCID,Xiong Chuan³,Pan Fangbo²^ORCID,Gao Xiaowen¹,Shi Jiancheng⁴^ORCID,Chang Sheng¹

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing, China

3. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China

4. National Space Science Center, Chinese Academy of Sciences, Beijing, China

Funder

China National Key Research and Development Plan Project

Strategic Priority Research Program of the Chinese Academy of Sciences

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10124878.pdf?arnumber=10124878

Reference70 articles.

1. Patterns and trends of Northern Hemisphere snow mass from 1980 to 2018

2. The detailed snowpack scheme Crocus and its implementation in SURFEX v7.2

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