Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Shoupeng Zhu"'
Autor:
Yang Lyu, Jingyu Wang, Xiefei Zhi, Xianfeng Wang, Hugh Zhang, Yonggang Wen, Edward Park, Joshua Lee, Xia Wan, Shoupeng Zhu, Duc Tran Dung
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract In April and May 2023, Southeast Asia (SEA) encountered an exceptional heatwave. The Continental SEA was hardest hit, where all the countries broke their highest temperature records with measurements exceeding 42 °C, and Thailand set the re
Externí odkaz:
https://doaj.org/article/e1697707c3564b39afe9b3ba04c49f92
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 24, Pp n/a-n/a (2023)
Abstract The reliable Subseasonal‐to‐Seasonal (S2S) forecast of precipitation, particularly extreme precipitation, is critical for disaster prevention and mitigation, which however remains a great challenge for mission agencies and research commu
Externí odkaz:
https://doaj.org/article/4d0eda181b3e478d9dedcd43de460ebe
Publikováno v:
Environmental Research Letters, Vol 19, Iss 7, p 074055 (2024)
Reliable Subseasonal-to-Seasonal (S2S) forecasts of precipitation are critical for disaster prevention and mitigation. In this study, an innovative hybrid method CSG-UNET combining the UNET with the censored and shifted gamma distribution based ensem
Externí odkaz:
https://doaj.org/article/e4c08676b2d647e4b3e8c15d6f1b5d9f
Autor:
Shoupeng Zhu, Yang Lyu, Hongbin Wang, Linyi Zhou, Chengying Zhu, Fu Dong, Yi Fan, Hong Wu, Ling Zhang, Duanyang Liu, Ting Yang, Dexuan Kong
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 3956 (2023)
Forecasts on transportation meteorology, such as pavement temperature, are becoming increasingly important in the face of global warming and frequent disruptions from extreme weather and climate events. In this study, we propose a pavement temperatur
Externí odkaz:
https://doaj.org/article/f705639c629b4da4af71e54b5c2ac748
Autor:
Yanhe Zhu, Xiefei Zhi, Yang Lyu, Shoupeng Zhu, Hua Tong, Ali Mamtimin, Hailiang Zhang, Wen Huo
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
In this study, a deep learning method named U-net neural network is utilized to calibrate the gridded forecast of surface air temperature from the Global Ensemble Forecasting System (GEFS), with forecast lead times of 1–7 days in Xinjiang. The cali
Externí odkaz:
https://doaj.org/article/df897c272d2c45a293274cf5bff66ef9
Autor:
Luying Ji, Xiefei Zhi, Bernd Schalge, Klaus Stephan, Zhifang Wu, Chong Wu, Clemens Simmer, Shoupeng Zhu
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
In this study, the high-resolution ensemble prediction system COSMO (Consortium for Small Scale) EPS is used to predict the extreme rainstorm that occurred from 27 to 31 August 2018 in Guangdong Province, China, which leads to intensities exceeding h
Externí odkaz:
https://doaj.org/article/663e13f2ee3240b7adf751417bfe44f5
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
In this study, subseasonal precipitation forecast skills over Maritime Continent in boreal summer are investigated for the ECMWF and CMA models involved in the S2S Project. Results indicate that the ECMWF model shows generally superior forecast perfo
Externí odkaz:
https://doaj.org/article/c04910149ff24271931201ea592d93fb
Autor:
Ling Zhang, Liuxian Song, Shoupeng Zhu, Zhun Guo, Hongbin Wang, Linyi Zhou, Chaohui Chen, Xiefei Zhi
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Based on the observational hourly precipitation data and the ERA5 reanalysis datasets, the short-term forecasts of the warm-sector heavy rainfall with warm-type shear line (WRWS) events over the coastal areas of the Yangtze–Huaihe River (YHR) are i
Externí odkaz:
https://doaj.org/article/ad48788a9aef4257885d060155bac759
Publikováno v:
Land, Vol 12, Iss 4, p 817 (2023)
A two-step attribution and causality diagnostic is designed by employing singular spectrum analysis to unfold the attributed climate time series into a trajectory matrix and then subjected to an empirical orthogonal function analysis to identify the
Externí odkaz:
https://doaj.org/article/080175c987884ea1b68bd68e4df48e24
Autor:
Ying Wang, Yongqing Bai, Xiefei Zhi, Kai Wu, Tianliang Zhao, Yue Zhou, Jie Xiong, Shoupeng Zhu, Wen Zhou, Weiyang Hu, Ling Zhang, Kai Meng
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
The regional transport of air pollutants has been identified as a critical factor that affects air quality over downwind receptor areas; however, the regional transport patterns for air pollution episodes remain poorly understood. In this study, we i
Externí odkaz:
https://doaj.org/article/e0a9aadc842f411d8029273594c24238