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Wei Huang
Researcher at National Center for Atmospheric Research
Publications - 12
Citations - 1615
Wei Huang is an academic researcher from National Center for Atmospheric Research. The author has contributed to research in topics: Weather Research and Forecasting Model & Data assimilation. The author has an hindex of 5, co-authored 11 publications receiving 1445 citations.
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A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results
TL;DR: A limited-area three-dimensional variational data assimilation (3DVAR) system applicable to both synoptic and mesoscale numerical weather prediction is described, and the use of the software architecture of the Weather Research and Forecast model is used to permit efficient performance on distributed-memory platforms.
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The Weather Research and Forecasting Model's Community Variational/Ensemble Data Assimilation System: WRFDA
Dale Barker,Xiang-Yu Huang,Zhiquan Liu,Thomas Auligné,Xin Zhang,Steven Rugg,Raji Ajjaji,Al Bourgeois,John Bray,Yongsheng Chen,Meral Demirtas,Yong-Run Guo,Tom Henderson,Wei Huang,Hui-Chuan Lin,John Michalakes,Syed R. H. Rizvi,Xiaoyan Zhang +17 more
TL;DR: An overview of the scientific capabilities of WRFDA is provided, and together with results from sample operation implementations at the U.S. and international levels, the challenges associated with balancing academic, research, and operational data assimilation requirements in the context of the WRF effort to date are discussed.
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Four-Dimensional Variational Data Assimilation for WRF : Formulation and Preliminary Results
Xiang-Yu Huang,Qingnong Xiao,Dale Barker,Xin Zhang,John Michalakes,Wei Huang,Tom Henderson,John Bray,Yongsheng Chen,Zaizhong Ma,Jimy Dudhia,Yong-Run Guo,Xiaoyan Zhang,Duk-Jin Won,Hui-Chuan Lin,Ying-Hwa Kuo +15 more
TL;DR: WRF 4D-Var uses the WRF model as a constraint to impose a dynamic balance on the assimilation and is shown to implicitly evolve the background error covariance and to produce the flow-dependent nature of the analysis increments.
Journal ArticleDOI
Application of an Adiabatic WRF Adjoint to the Investigation of the May 2004 McMurdo, Antarctica, Severe Wind Event
Qingnong Xiao,Ying-Hwa Kuo,Zaizhong Ma,Wei Huang,Xiang-Yu Huang,Xiaoyan Zhang,Dale Barker,John Michalakes,Jimy Dudhia +8 more
TL;DR: In this paper, the tangent linear and adjoint of an adiabatic version of the Weather Research and Forecasting (WRF) model with its Advanced Research WRF (ARW) dynamic core have been developed.