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CORRECTION article

Front. Environ. Sci., 01 November 2023
Sec. Atmosphere and Climate
Volume 11 - 2023 | https://doi.org/10.3389/fenvs.2023.1327085

Corrigendum: Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model

This article is a correction to:

  1. Corrigendum: Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model

    1. Read original article
Meijun Wang,Meijun Wang1,2Gang Yin,Gang Yin1,3Min Mao,Min Mao1,2Hao ZhangHao Zhang4Hua ZhangHua Zhang1Zengyun Hu,, Zengyun Hu2,4,5*Xi Chen,, Xi Chen2,4,5*
  • 1College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, Xinjiang, China
  • 2Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, Xinjiang, China
  • 3Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, Xinjiang, China
  • 4University of Chinese Academy of Sciences, Beijing, China
  • 5State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang, China

A Corrigendum on
Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model

by Wang M, Yin G, Mao M, Zhang H, Zhang H, Hu Z and Chen X (2023). Front. Environ. Sci. 11:1164895. doi: 10.3389/fenvs.2023.1164895

In the published article, there is a sequencing error in Funding statement. The corrected Funding appears below:

“This study was supported by the Third Xinjiang Scientific Expedition Program (Grant No. 2021xjkk1300), the National Natural Science Foundation of China (Grant Nos 42230708 and 41971386), and the Western Scholars of the Chinese Academy of Sciences (Grant No. 2020- XBQNXZ-010).”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: soil moisture, microwave remote sensing data, lobal hydrological model, reanalysis data, spatiotemporal characteristics

Citation: Wang M, Yin G, Mao M, Zhang H, Zhang H, Hu Z and Chen X (2023) Corrigendum: Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model. Front. Environ. Sci. 11:1327085. doi: 10.3389/fenvs.2023.1327085

Received: 24 October 2023; Accepted: 25 October 2023;
Published: 01 November 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2023 Wang, Yin, Mao, Zhang, Zhang, Hu and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zengyun Hu, aHV6ZW5neXVuQG1zLnhqYi5hYy5jbg==; Xi Chen, Y2hlbnhpQG1zLnhqYi5hYy5jbg==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.