Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Xin-Min Zeng"'
Autor:
Irfan Ullah, Xin‐Min Zeng, Sourav Mukherjee, Saran Aadhar, Ashok Kumar Mishra, Sidra Syed, Brian Odhiambo Ayugi, Vedaste Iyakaremye, Haishen Lv
Publikováno v:
Earth's Future, Vol 11, Iss 12, Pp n/a-n/a (2023)
Abstract Over the past few decades, South Asia (SA) has experienced an upsurge in the frequency of severe monsoonal compound drought and heatwave (CDHW) occurrences. Climate models that identify land‐atmosphere coupling as a major contributing fact
Externí odkaz:
https://doaj.org/article/7a6ecf0e52514313ae2970ce5b1a0551
Publikováno v:
Atmosphere, Vol 15, Iss 6, p 650 (2024)
Previously, the types of impacts of land–atmosphere interactions have scarcely been clarified systematically. In this article, we present a classification of these impacts based on modeling boundary layer variables/parameters, which is grouped into
Externí odkaz:
https://doaj.org/article/2138f6b6b36d4967ac8a03372ac6e66d
Publikováno v:
Water, Vol 16, Iss 10, p 1423 (2024)
In South China, the large quantity of rainfall in the pre-summer rainy season can easily lead to natural disasters, which emphasizes the importance of improving the accuracy of precipitation forecasting during this period for the social and economic
Externí odkaz:
https://doaj.org/article/17104dd596ba4d06840ae69b598d776e
Autor:
Irfan Ullah, Xin-Min Zeng, Saadia Hina, Sidra Syed, Xieyao Ma, Vedaste Iyakaremye, Jun Yin, Vijay P. Singh
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/7e29788e54b749fd880c4c753f20e21f
Autor:
Irfan Ullah, Xin-Min Zeng, Saadia Hina, Sidra Syed, Xieyao Ma, Vedaste Iyakaremye, Jun Yin, Vijay P. Singh
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
In recent decades, water scarcity is a significant constraint for socioeconomic development and threatens livelihood in an agriculture-based developing country like Pakistan. The water crisis in the country is projected to exacerbate in the coming ye
Externí odkaz:
https://doaj.org/article/4b2c2e57032f4634bd75c158a674ca5a
Publikováno v:
Hydrology Research, Vol 53, Iss 1, Pp 206-220 (2022)
This paper presents the evaluation of a multisite statistical weather generator (MulGETS: Multisite weather Generator of École de Technologie Supérieure) based on its simulation effect of precipitation in the Yangtze River Basin. MulGETS effectivel
Externí odkaz:
https://doaj.org/article/757a487311284bfda45c161db9bf4409
Publikováno v:
Atmosphere, Vol 13, Iss 6, p 929 (2022)
Owing to the complexity of the climate system and limitations of numerical dynamical models, machine learning based on big data has been used for climate forecasting in recent years. In this study, we attempted to use an artificial neural network (AN
Externí odkaz:
https://doaj.org/article/ffbff0c015b24e728c1a90834404367d
Publikováno v:
Atmosphere, Vol 13, Iss 4, p 617 (2022)
Wind speed is an important meteorological parameter, whose simulation is influenced by various physical process parameterizations. However, the impact of cumulus parameterization schemes (CPSs) on wind speed simulation at the climate scale has not be
Externí odkaz:
https://doaj.org/article/a289e9fca5604642a9a6b343b23c99ec
Publikováno v:
Atmosphere, Vol 12, Iss 12, p 1578 (2021)
Although land surface influences atmospheric processes significantly, insufficient studies have been conducted on the ensemble forecasts using the breeding of growing modes (BGM) with perturbed land surface variables. To investigate the practicabilit
Externí odkaz:
https://doaj.org/article/4929912520ff48108c33a84ab2c5eff0
Publikováno v:
Advances in Meteorology, Vol 2016 (2016)
The regional climate model, RegCM3, is used to simulate the 2004 summer surface air temperature (SAT) and precipitation at different horizontal (i.e., 30, 60, and 90 km) and vertical resolutions (i.e., 14, 18, and 23 layers). Results showed that incr
Externí odkaz:
https://doaj.org/article/b2054ec875fa4f9c9d2bc9585f97b162