Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Leiding Ding"'
Publikováno v:
European Journal of Remote Sensing, Vol 54, Iss 1, Pp 476-486 (2021)
Accurate satellite-based quantitative precipitation estimates (QPE) with high-quality and fine spatio-temporal resolutions play crucial roles in the meteorological analysis and the research of the global water cycle. The FY-4A is the first satellite
Externí odkaz:
https://doaj.org/article/b6f72b2500ff4298b8f82b6d7a2054e0
Autor:
Hongyi Li, Xiaoyong Zhong, Ziqiang Ma, Guoqiang Tang, Leiding Ding, Xinxin Sui, Jintao Xu, Yu He
Publikováno v:
Earth and Space Science, Vol 7, Iss 3, Pp n/a-n/a (2020)
Abstract The relative effect of climate change and El Niño–Southern Oscillation (ENSO) is essential not only for understanding the hydrological mechanism over Jiangxi province in China but also for local water resources management as well as flood
Externí odkaz:
https://doaj.org/article/54a50362c99a4923bec393029e70ff04
Publikováno v:
Earth and Space Science, Vol 7, Iss 1, Pp n/a-n/a (2020)
Abstract High‐quality precipitation data are vital for hydrological applications and climate change research. In this study, we evaluated two satellite‐based precipitation products from Chinese Fengyun (FY) 2G (G is one of the third batch of oper
Externí odkaz:
https://doaj.org/article/56a0bdabc4c943c785890e30a7823f5b
Publikováno v:
Scientific Programming. 2022:1-15
The upper Tarim River basin is supporting approximately 50 million people by melting the glaciers and snow, which are highly vulnerable and sensitive to climate change. Therefore, assessing the relative effects of climate change on the runoff of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6461b12231859406e5618a4ccc990c19
https://doi.org/10.1155/2022/3724960
https://doi.org/10.1155/2022/3724960
Publikováno v:
European Journal of Remote Sensing, Vol 54, Iss 1, Pp 476-486 (2021)
Accurate satellite-based quantitative precipitation estimates (QPE) with high-quality and fine spatio-temporal resolutions play crucial roles in the meteorological analysis and the research of the global water cycle. The FY-4A is the first satellite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf43823de88a8577a9f73928a2e04b8c
https://doi.org/10.1080/22797254.2021.1960202
https://doi.org/10.1080/22797254.2021.1960202
Autor:
Yizhe Han, Yaoming Ma, Leiding Ding, Weiqiang Ma, Wei Hu, Ziqiang Ma, Rongmingzhu Su, Yixi Fan, Zhipeng Xie
Publikováno v:
Journal of Geophysical Research: Atmospheres. 126
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::465d9e311dcc583860ac9c6a6341e14d
https://doi.org/10.1029/2020jd033946
https://doi.org/10.1029/2020jd033946
Publikováno v:
Water, Vol 13, Iss 334, p 334 (2021)
Water
Volume 13
Issue 3
Water
Volume 13
Issue 3
Precipitation data with fine quality plays vital roles in hydrological-related applications. In this study, we choose the high-quality China Merged Precipitation Analysis data (CMPA) as the benchmark for evaluating four satellite-based precipitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab24f9c3f6d2d8da3b4520695bcc3230
https://www.mdpi.com/2073-4441/13/3/334
https://www.mdpi.com/2073-4441/13/3/334
Autor:
Yu He, Hongyi Li, Ziqiang Ma, Jintao Xu, Xinxin Sui, Xiaoyong Zhong, Leiding Ding, Guoqiang Tang
Publikováno v:
Earth and Space Science, Vol 7, Iss 3, Pp n/a-n/a (2020)
The relative effect of climate change and El Niño–Southern Oscillation (ENSO) is essential not only for understanding the hydrological mechanism over Jiangxi province in China but also for local water resources management as well as flood control.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e0fd382406a96ee8accb8e4112e25e3
https://doi.org/10.1029/2019ea001047
https://doi.org/10.1029/2019ea001047
Publikováno v:
Earth and Space Science, Vol 7, Iss 1, Pp n/a-n/a (2020)
High‐quality precipitation data are vital for hydrological applications and climate change research. In this study, we evaluated two satellite‐based precipitation products from Chinese Fengyun (FY) 2G (G is one of the third batch of operational g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93d9f040abb45166e08a8a6a0dedc06b
https://doi.org/10.1029/2019ea000857
https://doi.org/10.1029/2019ea000857
Publikováno v:
Journal of Physics: Conference Series. 1288:012074
In view of the problem that the inversion of soil moisture is greatly affected by vegetation coverage, this paper uses MODIS vegetation products. By eliminating the data of cloud, rain, snow and other quality damage data, the global climate mean data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caf82085bc6ff6cfa65e3ca19320e09d
https://doi.org/10.1088/1742-6596/1288/1/012074
https://doi.org/10.1088/1742-6596/1288/1/012074