Zobrazeno 1 - 10
of 1 212
pro vyhledávání: '"Guang J"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Humid heat waves pose significant risks to human health and the ecosystem. Intuitively, rainfall often alleviates extreme humid heat. However, here we show that light rain often accompanies extreme humid heat, exacerbating its frequency and
Externí odkaz:
https://doaj.org/article/e4e09d6d87354c72a245909612cdea6e
Autor:
Yunpeng Shan, Jiwen Fan, Kai Zhang, Jacob Shpund, Christopher Terai, Guang J. Zhang, Xiaoliang Song, Chih‐Chieh‐Jack Chen, Wuyin Lin, Xiaohong Liu, Manish Shrivastava, Hailong Wang, Shaocheng Xie
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 8, Pp n/a-n/a (2024)
Abstract Numerous Earth system models exhibit excessive aerosol effective forcing at the top of the atmosphere (TOA), including the Department of Energy's Energy Exascale Earth System Model (E3SM). Here, in the context of the E3SM version 3 effort, t
Externí odkaz:
https://doaj.org/article/f8cd8b74b8a1408ea9275fb0e7c770bc
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 13, Pp n/a-n/a (2024)
Abstract Current global climate models (GCMs), limited to grid‐scale land‐atmosphere coupling, cannot represent subgrid urban‐rural precipitation contrasts. This study develops an innovative two‐way subgrid land‐atmosphere coupling framewor
Externí odkaz:
https://doaj.org/article/ee246eaa4ef6461991c2725f3f6d9cb3
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract With the recent advances in data science, machine learning has been increasingly applied to convection and cloud parameterizations in global climate models (GCMs). This study extends the work of Han et al. (2020, https://doi.org/10.1029/2020
Externí odkaz:
https://doaj.org/article/e9a8e7d7697e481e8ca08a75d59eafe7
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Historical land use impacts climate by biogeophysical and biogeochemical effects. Their combined effects on mean and extreme temperature may harm economically disadvantaged countries but benefit those in rich countries, raising questions of equality.
Externí odkaz:
https://doaj.org/article/6f46899c568b47e0aec78244bb5aa6e2
Autor:
Ben Yang, Minghuai Wang, Guang J. Zhang, Zhun Guo, Yong Wang, Xin Xu, Guoqing Dai, Anning Huang, Yaocun Zhang, Yun Qian
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 5, Pp n/a-n/a (2022)
Abstract We propose a parameterization scheme of convective organization effects based on a moisture‐distribution approach, which can reflect aggregation of convective cells within a model grid as well as the interaction between convection and spat
Externí odkaz:
https://doaj.org/article/9a360430cf7b4e67a500cb148e403ad4
Publikováno v:
Journal of Chemistry, Vol 2022 (2022)
This research is aimed at predicting the physical stability for amorphous solid dispersion by utilizing deep learning methods. We propose a prediction model that effectively learns from a small dataset that is imbalanced in terms of class. In order t
Externí odkaz:
https://doaj.org/article/fa079cf54b5646899a9ca98c67707bf2
Autor:
Shaocheng Xie, Yi‐Chi Wang, Wuyin Lin, Hsi‐Yen Ma, Qi Tang, Shuaiqi Tang, Xue Zheng, Jean‐Christophe Golaz, Guang J. Zhang, Minghua Zhang
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 7, Pp 2290-2310 (2019)
Abstract We revise the convective triggering function in Department of Energy's Energy Exascale Earth System Model (E3SM) Atmosphere Model version 1 (EAMv1) by introducing a dynamic constraint on the initiation of convection that emulates the collect
Externí odkaz:
https://doaj.org/article/c6d0ba8abe6e498a9b360eb70b48037d
Autor:
Zhanjie Zhang, Guang J. Zhang
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 9, p 1318 (2022)
The scale-aware convective parameterization for high resolution global climate models must satisfy the requirement that the parameterized subgrid convective transport diminishes as the model resolution increases to convection-resolving resolutions. A
Externí odkaz:
https://doaj.org/article/a744d72a55e441eb987089040f9ac616
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 13, Iss 5, Pp n/a-n/a (2021)
Abstract We modify the Zhang‐McFarlane (ZM) deep convection scheme in the Community Atmosphere Model version 5 to couple it with a unified parameterization for boundary‐layer turbulence and shallow convection, that is, Cloud Layers Unified by Bin
Externí odkaz:
https://doaj.org/article/8e329982bddc4c6ba49eb5cb12913354