Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Jiangjiang, Xia"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 2, Pp n/a-n/a (2024)
Abstract Global warming and climate change have increased the frequency and intensity of floods and droughts, limiting economic development and threatening human survival. Therefore, accurate global forecasts well in advance of precipitation are esse
Externí odkaz:
https://doaj.org/article/88172963c7c34031a099d4e214263def
Publikováno v:
Weather and Climate Extremes, Vol 37, Iss , Pp 100477- (2022)
The 2020 summer extreme precipitation event over the Mid-Lower Reaches of Yangtze River in China caused widespread socioeconomic impacts, with a death toll of hundreds and direct economic loss of half billion CNY. Seasonal prediction of summer extrem
Externí odkaz:
https://doaj.org/article/a0bf59265b13433e885dd9dba0c5a94e
Autor:
Xiaoqi Yu, Xiao Lou, Yan Yan, Zhongwei Yan, Wencong Cheng, Zhibin Wang, Deming Zhao, Jiangjiang Xia
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3065 (2023)
A conventional way to monitor severe convective weather is using the composite reflectivity of radar as an indicator. For oceanic areas without radar deployment, reconstruction from satellite data is useful. However, those reconstruction models built
Externí odkaz:
https://doaj.org/article/dd1b0d0c0efa4a9881f5d9773dad1f46
Autor:
Jun Wang, Yang Chen, Simon F. B. Tett, Zhongwei Yan, Panmao Zhai, Jinming Feng, Jiangjiang Xia
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Compound hot extremes that combine day- and nighttime heat have particularly strong impacts. Here, the authors show that anthropogenic emissions of greenhouse gases have made compound hot extremes increasingly frequent and intense, and project that u
Externí odkaz:
https://doaj.org/article/9fff571043da469f9353ddfea8fee9f0
Autor:
Ziyan Zheng, Zhongwei Yan, Jing Chen, Jiarui Han, Jiangjiang Xia, Xiaohong Zhang, Siyu Cai, Xiaolin Liu
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Specific users play a key role in interactive forecast systems through user-oriented information (UOI). For hydrological users, a key component of the user-oriented forecast system (UOFS) is to determine the threshold of flood-leading precipitation (
Externí odkaz:
https://doaj.org/article/f45a8cb8e90b4bd1a1c61755c07f82bb
Autor:
Danping Liu, Dexiang Zheng, Yaoyao Xu, Yifei Chen, Hesong Wang, Ku Wang, Xiaoli Liao, Changxiong Chen, Jiangjiang Xia, Shaofei Jin
Publikováno v:
PeerJ, Vol 9, p e11553 (2021)
Elevation is important for determining the nutrient biogeochemical cycle in forest ecosystems. Changes in the ecological stoichiometry of nutrients along an elevation gradient can be used to predict how an element cycle responds in the midst of globa
Externí odkaz:
https://doaj.org/article/b40431d8cc774720860c6610c8a17432
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3330 (2021)
Radar reflectivity (RR) greater than 35 dBZ usually indicates the presence of severe convective weather, which affects a variety of human activities, including aviation. However, RR data are scarce, especially in regions with poor radar coverage or s
Externí odkaz:
https://doaj.org/article/10af28ef2a074963b43e8cf31aaaa9b4
Autor:
null Wenjia Kong, null Haochen Li, null Chen Yu, null Jiangjiang Xia, null Yanyan Kang, Pingwen Zhang
Publikováno v:
Communications in Computational Physics. 31:131-153
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77d226dacbcafb690f8a5cbd468fa05f
https://doi.org/10.4208/cicp.oa-2020-0158
https://doi.org/10.4208/cicp.oa-2020-0158
Autor:
Nian Liu, Zhongwei Yan, Xuan Tong, Jiang Jiang, Haochen Li, Jiangjiang Xia, Xiao Lou, Rui Ren, Yi Fang
Publikováno v:
Advances in Atmospheric Sciences. 39:1721-1733
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4340cf977b41692e3a957170c1877845
https://doi.org/10.1007/s00376-022-1343-8
https://doi.org/10.1007/s00376-022-1343-8
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1491 (2021)
Missing data in weather radar image sequences may cause bias in quantitative precipitation estimation (QPE) and quantitative precipitation forecast (QPF) studies, and also the obtainment of corresponding high-quality QPE and QPF products. The traditi
Externí odkaz:
https://doaj.org/article/b063811e164c471b948ba5e55b3f5d4c