Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Weiyi Mao"'
Autor:
Zhenzhen Wang, Shuai Yang, Linglin Tong, Xin Li, Weiyi Mao, Honghua Yuan, Yang Chen, Shenyang Zhang, He Zhang, Renjin Chen
Publikováno v:
mSystems, Vol 9, Iss 10 (2024)
ABSTRACT Altered composition of the gut microbiota affects immunity and metabolism. This study previously found that eIF6 gene knockdown changes the composition of the intestinal flora in the eIF6 gene knockdown mouse model. Lactobacillus acidophilus
Externí odkaz:
https://doaj.org/article/4a54aaadea254a7683da14c298ac94cc
Publikováno v:
Atmospheric Science Letters, Vol 25, Iss 2, Pp n/a-n/a (2024)
Abstract The significant socioeconomic impact of extreme flooding provides an incentive to improve our understanding of flood drivers. In this study, floods that occurred in northern Xinjiang from 2006 to 2011 were divided into three categories: rain
Externí odkaz:
https://doaj.org/article/c1fdcb02c8e343838fa491bd87226024
Publikováno v:
Gaoyuan qixiang, Vol 41, Iss 6, Pp 1410-1424 (2022)
Based on the daily air temperature data from more than 2000 stations by the National Meteorological Information Center and NCEP/NCAR daily reanalysis data from 1980 to 2017， the effects of low-frequency oscillation on three types （nationwide， n
Externí odkaz:
https://doaj.org/article/582a559866c949ca8027ad8bae55decc
Autor:
Zulian Zhang, Weiyi Mao, Mingquan Wang, Wei Zhang, Chunrong Ji, Aidaituli Mushajiang, Dawei An
Publikováno v:
Water, Vol 15, Iss 19, p 3337 (2023)
The mountains in northern Xinjiang of China were studied during the snowmelt season. Multi-source fusions of live data of the Chinese Land Data Assimilation System (CLDAS, 0.05° × 0.05°, hourly data) were used as real data, and the Central Meteoro
Externí odkaz:
https://doaj.org/article/21863b8969854074a2520d9636bc2ee9
Publikováno v:
Advances in Meteorology, Vol 2023 (2023)
This study performed an observational analysis to examine the interdecadal variation in the frequency of extreme high-temperature events (EHEs) during spring over the western Tianshan mountain, China, which were characterized by relatively fewer (mor
Externí odkaz:
https://doaj.org/article/be53a628de2c4bcfb8a9bc5b46a43117
Autor:
Jing Chen, Junqiang Yao, Tuoliewubieke Dilinuer, Jiangang Li, Shujuan Li, Lianmei Yang, Weiyi Mao
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
The extreme precipitation threshold is fundamental to extreme precipitation research, directly affecting the cognition of extreme characteristics. Based on the daily precipitation data of 62 meteorological stations from 1985 to 2005, this study uses
Externí odkaz:
https://doaj.org/article/df64a9cf8b214094ba492304346a0cc8
Publikováno v:
Environmental Research Communications, Vol 5, Iss 12, p 125005 (2023)
To understand the triggering conditions of snowmelt floods in northern Xinjiang, China, the diurnal evolution and altitude dependence characteristics of spring temperature and relative humidity (RH) are investigated, particularly placing emphasis on
Externí odkaz:
https://doaj.org/article/ed1be7a41cce4240997965bc08bb10e7
Autor:
Tuoliewubieke Dilinuer, Junqiang Yao, Jing Chen, Yong Zhao, Weiyi Mao, Jiangang Li, Lianmei Yang
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Understanding the precipitation variability and extreme precipitation over arid Central Asia (CA) has largely been hampered by the lack of daily precipitation observations. The gridded precipitation datasets over CA are large discrepancies. Here, thr
Externí odkaz:
https://doaj.org/article/b3a3c6f1cdaa45849c4a9d6395ed926f
Publikováno v:
Atmosphere, Vol 13, Iss 11, p 1840 (2022)
In this study, we define the S0 value (buffer zone area centred on a meteorological station) and two inhomogeneity measurement parameters, the station domain area and station network density, for 89 weather stations in the Xinjiang region, and we con
Externí odkaz:
https://doaj.org/article/6a7a9b5770944f609323edd2e6db45cc
Publikováno v:
Climate Dynamics.
As a major source of moisture in Central Asia (CA), snowfall may significantly impact agriculture and economics in CA. The study has investigated the dominant modes of snowfall frequency during winter over CA and associated mechanisms. The first EOF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::327215a78fb45de693eb3e31a3f5891b
https://doi.org/10.1007/s00382-022-06639-w
https://doi.org/10.1007/s00382-022-06639-w