Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Rongfan Chai"'
Autor:
Xuehua An, Yifang Zhang, Shanlei Sun, Rongfan Chai, Zaoying Bi, Jinjian Li, Yang Zhou, Botao Zhou, Haishan Chen
Publikováno v:
Environmental Research Letters, Vol 19, Iss 12, p 124031 (2024)
Various offline drought indices have been widely used to project dryness/wetness and drought changes. However, the results derived from these indices often differ from or even contradict observations and direct projections made by coupled climate mod
Externí odkaz:
https://doaj.org/article/55f2cc492a9a4b03859a3db8ac43e125
Autor:
Rongfan Chai, Jiafu Mao, Haishan Chen, Yaoping Wang, Xiaoying Shi, Mingzhou Jin, Tianbao Zhao, Forrest M. Hoffman, Daniel M. Ricciuto, Stan D. Wullschleger
Publikováno v:
npj Climate and Atmospheric Science, Vol 4, Iss 1, Pp 1-8 (2021)
Abstract Widespread aridification of the land surface causes substantial environmental challenges and is generally well documented. However, the mechanisms underlying increased aridity remain relatively underexplored. Here, we investigated the anthro
Externí odkaz:
https://doaj.org/article/45ac3aa4715c44a0b1ce91902555ac7a
Capacity of the PERSIANN-CDR Product in Detecting Extreme Precipitation over Huai River Basin, China
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1747 (2021)
Assessing satellite-based precipitation product capacity for detecting precipitation and linear trends is fundamental for accurately knowing precipitation characteristics and changes, especially for regions with scarce and even no observations. In th
Externí odkaz:
https://doaj.org/article/2ed1973e3eea4ac68882438ec829ada2
Autor:
Shanlei Sun, Wanrong Shi, Shujia Zhou, Rongfan Chai, Haishan Chen, Guojie Wang, Yang Zhou, Huayu Shen
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 2902 (2020)
Despite numerous assessments of satellite-based and reanalysis precipitation across the globe, few studies have been conducted based on the precipitation linear trend (LT), particularly during daytime and nighttime, when there are different precipita
Externí odkaz:
https://doaj.org/article/134a0a1486404392bbfbfe4b962c8757
Autor:
Shanlei Sun, Shujia Zhou, Huayu Shen, Rongfan Chai, Haishan Chen, Yibo Liu, Wanrong Shi, Jia Wang, Guojie Wang, Yang Zhou
Publikováno v:
Remote Sensing, Vol 11, Iss 15, p 1805 (2019)
Satellite-based precipitation products, especially those with high temporal and spatial resolution, constitute a potential alternative to sparse rain gauge networks for multidisciplinary research and applications. In this study, the validation of the
Externí odkaz:
https://doaj.org/article/5b98195dffe7402c95bb23298aa9ca34
Autor:
Shanlei Sun, Yifang Zhang, Rongfan Chai, Yi Liu, Mengyuan Mu, Botao Zhou, Yang Zhou, Jinjian Li, Haishan Chen
Publikováno v:
Journal of Hydrology. 621:129568
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b62493657288a74abf59ef71285e6e6
https://doi.org/10.1016/j.jhydrol.2023.129568
https://doi.org/10.1016/j.jhydrol.2023.129568
Autor:
Jinjian Li, Rongfan Chai, Shujia Zhou, Peng Deng, Weiping Lou, Qingqing Li, Guojie Wang, Shanlei Sun, Jie Wang, Wenjian Hua
Publikováno v:
Journal of Hydrology. 568:385-402
With intensifying climate change, droughts over Southwest China (SWC) are drawing increasing interest. The droughts of 2009–2011 have attracted special concern. However, the roles of atmospheric evaporative demand [reflected by reference evapotrans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08ebdb3bdc13022f4e730b41d5806052
https://doi.org/10.1016/j.jhydrol.2018.10.071
https://doi.org/10.1016/j.jhydrol.2018.10.071
Capacity of the PERSIANN-CDR Product in Detecting Extreme Precipitation over Huai River Basin, China
Publikováno v:
Remote Sensing, Vol 13, Iss 1747, p 1747 (2021)
Remote Sensing
Volume 13
Issue 9
Pages: 1747
Remote Sensing
Volume 13
Issue 9
Pages: 1747
Assessing satellite-based precipitation product capacity for detecting precipitation and linear trends is fundamental for accurately knowing precipitation characteristics and changes, especially for regions with scarce and even no observations. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bec37c73784b573e7ab455a5167012e
https://www.mdpi.com/2072-4292/13/9/1747
https://www.mdpi.com/2072-4292/13/9/1747
Autor:
Wanrong Shi, Haishan Chen, Huayu Shen, Guojie Wang, Rongfan Chai, Yang Zhou, Shanlei Sun, Shujia Zhou
Publikováno v:
Remote Sensing; Volume 12; Issue 18; Pages: 2902
Remote Sensing, Vol 12, Iss 2902, p 2902 (2020)
Remote Sensing, Vol 12, Iss 2902, p 2902 (2020)
Despite numerous assessments of satellite-based and reanalysis precipitation across the globe, few studies have been conducted based on the precipitation linear trend (LT), particularly during daytime and nighttime, when there are different precipita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f0a0d5fc1b2fb81ec14abc052a72ea5
Publikováno v:
Hydrological Processes. 32:3032-3048
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb3c9ff0a5f5b8336343a356579860d6
https://doi.org/10.1002/hyp.13252
https://doi.org/10.1002/hyp.13252