Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Wenjian Hua"'
Multidecadal Variations in the Tropical Western Pacific Driven by Externally‐Forced AMV‐Like Changes
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 4, Pp n/a-n/a (2024)
Abstract Multidecadal sea surface temperature (SST) variations in the tropical western Pacific (TWP) have been attributed to nonlinear external forcing and remote influences from the Atlantic Multidecadal Variability (AMV). However, the AMV resulted
Externí odkaz:
https://doaj.org/article/0ebeae45c758418f8c411519f6dddea6
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 16, Pp n/a-n/a (2023)
Abstract The 2022 heatwave in China featured record‐shattering high temperatures, raising questions about its origin and possible link to global warming. Here we show that the maximum temperature anomalies over Central China reached 13.1°C in the
Externí odkaz:
https://doaj.org/article/682932b25a024d808745f79b0ea42575
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Irrigation activities have been recognized as one of the most potentially sustainable land management practices to tackle climate change. In this study, we investigated the impacts of present-day irrigation activities on regional temperature extremes
Externí odkaz:
https://doaj.org/article/e39b65bb4ea94cadb7cc4c8deb27d534
Autor:
Xing Li, Xiao Li, Hedi Ma, Wenjian Hua, Haishan Chen, Xiaohang Wen, Wanxin Zhang, Yiwen Lu, Xueqi Pang, Xuanwen Zhang
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Dynamic and continuous land use and cover change (LUCC) is one of the external forcing factors affecting regional climate in China. Based on the annual dynamic global land cover dataset derived from the Global Land Surface Satellite (GLASS-GLC), this
Externí odkaz:
https://doaj.org/article/cfa3c09125a84edfaf364828d88ffeac
Publikováno v:
Environmental Research Letters, Vol 18, Iss 9, p 094047 (2023)
Recent satellite and in-situ measurements show that forests can influence regional and global cloud cover through biophysical processes. However, forest’s possible local and non-local impacts on clouds remain unclear. By analyzing the model simulat
Externí odkaz:
https://doaj.org/article/8ff1e421960b4140b538f52dc571ac29
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Changes in temperature variability can have more serious social and ecological impacts than changes in the mean state of temperature, especially when they are concurrent with global warming. The present study examines the summertime temperatures’ t
Externí odkaz:
https://doaj.org/article/ac08cd25e0ff43bd897cf78ed83bcc7c
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Regional climate models with high-resolution simulation are particularly useful for providing a detailed representation of land surface processes, and for studying the relationship between land surface processes and heat events. However, large differ
Externí odkaz:
https://doaj.org/article/a1fa20587fef4d88a8a3769b74ea7fbc
Publikováno v:
Environmental Research Letters, Vol 17, Iss 5, p 054052 (2022)
In the Congo Basin, a drying trend in the April–May–June rains prevailed between 1979 and 2014, accompanied by a decline in forest productivity. This article examines the subsequent years, in order to determine whether rainfall conditions have im
Externí odkaz:
https://doaj.org/article/b14a6a6f90884e368ae14a95a33b6ba4
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-15 (2017)
Abstract Desert amplification identified in recent studies has large uncertainties due to data paucity over remote deserts. Here we present observational evidence using multiple satellite-derived datasets that desert amplification is a real large-sca
Externí odkaz:
https://doaj.org/article/8650015fcc1f45c8aa939087efeada10
Autor:
Wenjian Hua, Haishan Chen, Liming Zhou, Zhenghui Xie, Minhua Qin, Xing Li, Hedi Ma, Qinghan Huang, Shanlei Sun
Publikováno v:
Remote Sensing, Vol 9, Iss 5, p 425 (2017)
This study attempts to quantify the relative contributions of vegetation greening in China due to climatic and human influences from multiple observational datasets. Satellite measured vegetation greenness, Normalized Difference Vegetation Index (NDV
Externí odkaz:
https://doaj.org/article/0818560372554a5fbe6e3e0a367f4423