Zobrazeno 1 - 10
of 19
pro vyhledávání: '"William Y. Y. Cheng"'
Autor:
Shuanglei Feng, Alexandre O. Fierro, Yuewei Liu, Fengxia Guo, William Y. Y. Cheng, Edward R. Mansell, Mei Xu, Yubao Liu, Tianliang Zhao, Haoliang Wang
Publikováno v:
Atmospheric Research. 209:1-13
A retrieval method for deriving the hydrometeor mixing ratio within mesoscale convective system (MCS) is presented in this study. The hydrometeor retrieval method was designed to incorporate the flash extent densities (FED) data from the Feng-Yun-4 g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d801fc0186442d27dadfe60473a229f0
https://doi.org/10.1016/j.atmosres.2018.03.002
https://doi.org/10.1016/j.atmosres.2018.03.002
Autor:
Rong Zong, William Y. Y. Cheng, Haoliang Wang, Honglong Yang, Yongjie Huang, Yubao Liu, Hongping Lan, Chunyan Cao, Ying Jiang, Mei Xu, Xiaolin Wei, Linlin Pan, Yuewei Liu
Publikováno v:
Atmospheric Research. 209:131-143
Radar data assimilation is an important method for short-term convection forecasting or nowcasting. To improve the short-term (mainly 0–3 h) precipitation forecasts for severe convective storms, an analysis nudging (Newtonian relaxation) based hydr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d42a20862068bf7efeab477e7007d62
https://doi.org/10.1016/j.atmosres.2018.03.010
https://doi.org/10.1016/j.atmosres.2018.03.010
Autor:
Yuewei Liu, William Y. Y. Cheng, Ju Hu, Yubao Liu, Linlin Pan, Shuanglei Feng, Du Jie, Jin Shuanglong, Peng Lixia, Gregory Roux
Publikováno v:
Atmospheric Research. 259:105673
Wind forecast is an essential part of both weather and renewable energy predictions. This study investigated the performances of the weather research and forecasting (WRF) model real-time four-dimensional data assimilation (RTFDDA) and forecasting sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddc758603ac96a96df89cddc389f67b2
https://doi.org/10.1016/j.atmosres.2021.105673
https://doi.org/10.1016/j.atmosres.2021.105673
Publikováno v:
Renewable Energy. 107:340-351
In recent years, adopting renewable energy, such as wind power, has become a national energy policy for many countries due to concerns of pollution and climate change from fossil fuel consumption. However, accurate prediction of wind is crucial in ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74dd6455a164d3b057dd28198cc98d39
https://doi.org/10.1016/j.renene.2017.02.014
https://doi.org/10.1016/j.renene.2017.02.014
Autor:
Yongxin Zhang, Jeffrey H. Copeland, William Y. Y. Cheng, Sue Ellen Haupt, Patrick Sullivan, Caspar M. Ammann
Publikováno v:
Journal of Applied Meteorology and Climatology. 55:345-363
The National Center for Atmospheric Research and the National Renewable Energy Laboratory (NREL) collaborated to develop a method to assess the interannual variability of wind and solar power over the contiguous United States under current and projec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3f570fbc9037cb2784550984385ce8d
https://doi.org/10.1175/jamc-d-15-0011.1
https://doi.org/10.1175/jamc-d-15-0011.1
Publikováno v:
Weather and Forecasting. 31:197-216
Operational Weather Research and Forecasting (WRF) Model forecasts run over Dugway Proving Ground (DPG) in northwest Utah, produced by the U.S. Army Test and Evaluation Command Four-Dimensional Weather System (4DWX), underpredict the amplitude of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2e67e85bcdef090ce1ba3b1e6141470
https://doi.org/10.1175/waf-d-15-0073.1
https://doi.org/10.1175/waf-d-15-0073.1
Publikováno v:
Journal of Advances in Modeling Earth Systems. 7:1997-2011
This study investigates the impact of four-dimensional data assimilation (FDDA) on urban climate analysis, which employs the NCAR (National Center for Atmospheric Research) WRF (the weather research and forecasting model) based on climate FDDA (CFDDA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfa5ba162b3db7f9125e371e0dc8acd0
https://doi.org/10.1002/2015ms000487
https://doi.org/10.1002/2015ms000487
Autor:
Luca Delle Monache, Marcia K. Politovich, Daniel R. Adriaansen, Tara Jensen, Gerry Wiener, Sue Ellen Haupt, William Y. Y. Cheng, Yubao Liu, Branko Kosovic, Paul Prestopnik, Stefano Alessandrini, Seth Linden
Publikováno v:
Energies; Volume 13; Issue 6; Pages: 1372
Energies, Vol 13, Iss 6, p 1372 (2020)
Energies, Vol 13, Iss 6, p 1372 (2020)
The National Center for Atmospheric Research (NCAR) recently updated the comprehensive wind power forecasting system in collaboration with Xcel Energy addressing users’ needs and requirements by enhancing and expanding integration between numerical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b82d1dca87847d1b56927f2202041885
https://doi.org/10.3390/en13061372
https://doi.org/10.3390/en13061372
Autor:
Yongxin Zhang, William Y. Y. Cheng, Yubao Liu, Yuewei Liu, William P. Mahoney, Thomas T. Warner
Publikováno v:
Renewable Energy. 55:347-356
Fine scale numerical weather prediction (NWP) models are now widely applied to predict power production at wind farms. Given the fact that demand for specialized forecasts for wind farms is growing, it is important to understand the strengths and lim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c81ba0cc430387cc6de06c8e6d050ea
https://doi.org/10.1016/j.renene.2012.12.041
https://doi.org/10.1016/j.renene.2012.12.041
Autor:
Kristin M. Calhoun, William Y. Y. Cheng, Alexandre O. Fierro, Yuewei Liu, Tianliang Zhao, Mei Xu, Si Shen, Yubao Liu, Haoliang Wang
Publikováno v:
Journal of Geophysical Research: Atmospheres. 122:12-12,316
In this study, a lightning data assimilation (LDA) scheme was developed and implemented in the NCAR (National Center for Atmospheric Research) Weather Research and Forecasting – Real-Time Four-Dimensional Data assimilation (WRF-RTFDDA) system. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e456b1ac8ac9da6ba7eed837658686f
https://doi.org/10.1002/2017jd027340
https://doi.org/10.1002/2017jd027340