Zobrazeno 1 - 10
of 35
pro vyhledávání: '"SHENG-LUN TAI"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 13, Iss 11, Pp n/a-n/a (2021)
Abstract The ability of an observationally‐constrained cloud‐system resolving model (Weather Research and Forecasting; WRF, 4‐km grid spacing) and a global climate model (Energy Exascale Earth System Model; E3SM, 1‐degree grid spacing) to rep
Externí odkaz:
https://doaj.org/article/c8746bfb5ac644158cf2161634674e6e
Autor:
Sheng‐Lun Tai, Jerome D. Fast, William I. Gustafson Jr, Duli Chand, Brian Gaudet, Zhe Feng, Rob Newsom
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 9, Pp n/a-n/a (2020)
Abstract Continental shallow cumulus (ShCu) clouds observed on 30 August 2016 during the Holistic Interactions of Shallow Clouds, Aerosols, and Land‐Ecosystems (HI‐SCALE) field campaign are simulated by using an observation‐constrained cloud‐
Externí odkaz:
https://doaj.org/article/21c544c296c84e6797be8f04e655f280
Autor:
Sheng-Lun Tai, 戴聖倫
105
The four-dimensional Variational Doppler Radar Analysis System (VDRAS) developed at the National Center for Atmospheric Research (NCAR) is significantly improved by implementing a terrain-resolving scheme to its forward model and adjoint bas
The four-dimensional Variational Doppler Radar Analysis System (VDRAS) developed at the National Center for Atmospheric Research (NCAR) is significantly improved by implementing a terrain-resolving scheme to its forward model and adjoint bas
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/9uz4mj
Autor:
Sheng-lun Tai, 戴聖倫
98
In previous research the variational Doppler Radar Analysis System (VDRAS), developed by National Centers for Atmospheric Sciences (NCAR), had been applied in real-time analysis of low-level wind and convergence for nowcasting of thunderstorm
In previous research the variational Doppler Radar Analysis System (VDRAS), developed by National Centers for Atmospheric Sciences (NCAR), had been applied in real-time analysis of low-level wind and convergence for nowcasting of thunderstorm
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/15321739408462871182
Publikováno v:
Wind Energy Science. 8:433-448
Turbulence intensity (TI) is often used to quantify the strength of turbulence in wind energy applications and serves as the basis of standards in wind turbine design. Thus, accurately characterizing the spatiotemporal variability in TI should lead t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0f1197ef61e2a72334b607836638e16
https://doi.org/10.5194/wes-8-433-2023
https://doi.org/10.5194/wes-8-433-2023
Autor:
Zhao Yang, Adam Varble, Larry K. Berg, Yun Qian, Sheng‐Lun Tai, Jingyi Chen, William I. Gustafson, Zhe Feng, Ying Liu
Publikováno v:
Journal of Geophysical Research: Atmospheres. 128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c025aaf2dfd1c1a86522c5b590064de5
https://doi.org/10.1029/2022jd037642
https://doi.org/10.1029/2022jd037642
Autor:
Po-Lun Ma, Bryce E. Harrop, Vincent E. Larson, Richard B. Neale, Andrew Gettelman, Hugh Morrison, Hailong Wang, Kai Zhang, Stephen A. Klein, Mark D. Zelinka, Yuying Zhang, Yun Qian, Jin-Ho Yoon, Christopher R. Jones, Meng Huang, Sheng-Lun Tai, Balwinder Singh, Peter A. Bogenschutz, Xue Zheng, Wuyin Lin, Johannes Quaas, Hélène Chepfer, Michael A. Brunke, Xubin Zeng, Johannes Mülmenstädt, Samson Hagos, Zhibo Zhang, Hua Song, Xiaohong Liu, Michael S. Pritchard, Hui Wan, Jingyu Wang, Qi Tang, Peter M. Caldwell, Jiwen Fan, Larry K. Berg, Jerome D. Fast, Mark A. Taylor, Jean-Christophe Golaz, Shaocheng Xie, Philip J. Rasch, L. Ruby Leung
Publikováno v:
Geoscientific Model Development. 15:2881-2916
Realistic simulation of the Earth's mean-state climate remains a major challenge, and yet it is crucial for predicting the climate system in transition. Deficiencies in models' process representations, propagation of errors from one process to anothe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11e97b00ad24efde0ad60d3d600649a7
https://doi.org/10.5194/gmd-15-2881-2022
https://doi.org/10.5194/gmd-15-2881-2022
Turbulence intensity (TI) is often used to quantify the strength of turbulence in wind energy applications and serves as the basis of standards in wind turbine design. Thus, accurately characterizing the spatiotemporal variability of TI should lead t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5606ea52563d04ef4eb341c4175afed2
https://wes.copernicus.org/preprints/wes-2022-84/
https://wes.copernicus.org/preprints/wes-2022-84/
Publikováno v:
Monthly Weather Review. Jun2020, Vol. 148 Issue 6, p2307-2330. 24p.