Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Chenxiang Ju"'
Publikováno v:
Gaoyuan qixiang, Vol 43, Iss 1, Pp 127-140 (2024)
The warm zone blizzard are both infrequent and highly destructive， making their accurate prediction a challenging and crucial focus.This study utilized four distinct cloud microphysics schemes （Lin， Thompson， WDM6， and WSM6） within the WR
Externí odkaz:
https://doaj.org/article/8b0c1b9c271d491bbaa29f1844da5b50
Publikováno v:
Atmosphere, Vol 15, Iss 8, p 967 (2024)
The Tarim Basin in the western part of Northwest China (NWC) is the largest inland basin in the world and one of the most arid regions in the middle latitudes. In recent years, heavy precipitation events have occurred frequently in this region, espec
Externí odkaz:
https://doaj.org/article/a84d6d58ae24496dafa622fb7f8d5518
Autor:
Ailiyaer Aihaiti, Yu Wang, Ali Mamtimin, Junjian Liu, Jiacheng Gao, Meiqi Song, Cong Wen, Chenxiang Ju, Fan Yang, Wen Huo
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5731 (2023)
Based on data from the Gurbantunggut Desert, the largest fixed/semi-fixed desert in China, and ERA5-Land reanalysis data, the long-term variations and spatial surface heat source (SHS) differences in the Gurbantunggut Desert are discussed herein. The
Externí odkaz:
https://doaj.org/article/998adffc5bb34030b30cb9095fe63450
Autor:
Chenxiang Ju, Huoqing Li, Man Li, Zonghui Liu, Yufen Ma, Ali Mamtimin, Mingjing Sun, Yating Song
Publikováno v:
Atmosphere, Vol 13, Iss 6, p 927 (2022)
The land surface scheme (LSS) plays a very important role in the forecast of surface meteorological elements in the Central Asia arid region. Therefore, two LSSs viz. Noah and Noah-MP were evaluated over the Central Asia arid region in January and Ju
Externí odkaz:
https://doaj.org/article/c5c4475a2b8a418a8520095e905274ad
Autor:
Huoqing Li, Zonghui Liu, Ali Mamtimin, Junjian Liu, Yongqiang Liu, Chenxiang Ju, Hailiang Zhang, Zhibo Gao
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1686 (2021)
Broadband emissivity is a crucial parameter for calculating the radiation budget, still, it adopts a constant value in land surface models due to a lack of adequate observations. Arid regions have complex underlying surfaces and estimations of the br
Externí odkaz:
https://doaj.org/article/06b0450e56ca4802bb6ff4bbfb1b5008
Autor:
Huoqing Li, Junjian Liu, Hailiang Zhang, Chenxiang Ju, Junjie Shi, Junlan Zhang, Ali Mamtimin, Shuiyong Fan
Publikováno v:
Atmosphere, Vol 11, Iss 11, p 1164 (2020)
The terrain of Central Asia is complex and rugged over mountains. Consequently, wind speed is overestimated over mountains and plains when using the Weather Research Forecast (WRF) model in winter. To solve this problem, three different simulations (
Externí odkaz:
https://doaj.org/article/0c6b954ba69b45ecac9cdcd99977a440
Publikováno v:
Advances in Meteorology, Vol 2019 (2019)
This study evaluated the Noah land-surface model performance to simulate the land-surface process during different weather conditions in the hinterland of the Taklimakan Desert. This study is based on observation data from the Taklimakan Desert Meteo
Externí odkaz:
https://doaj.org/article/68639fd8bb874939a2d2403cfb17cbc8
Publikováno v:
Atmosphere, Vol 11, Iss 4, p 350 (2020)
The USGS (United States Geological Survey) land-use data used in the Weather Research and Forecasting (WRF) model have become obsolete as they are unable to accurately represent actual underlying surface features. Therefore, this study developed a ne
Externí odkaz:
https://doaj.org/article/218446709a604cf390838360754760ef
Publikováno v:
Atmospheric Research. 284:106602
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2abdb5bba6677dc7235dd14963c59ce5
https://doi.org/10.1016/j.atmosres.2022.106602
https://doi.org/10.1016/j.atmosres.2022.106602
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b664acc4bcb648054b696760d93e583
https://doi.org/10.2139/ssrn.4281483
https://doi.org/10.2139/ssrn.4281483