Project: Testing and Verification of the WRF Model
Project Summary
Testing and verification of the WRF Model: extreme weather over eastern China.
The Weather Research and Forecasting (WRF) Model is a new numerical weather prediction (NWP)
model that has been developed jointly by a number of research, operational, and educational
institutions in the United States, including the National Center for Atmospheric Research (NCAR),
the National Oceanic and Atmospheric Administration (NOAA), the Air Force Weather Agency (AFWA),
and the Center for the Analysis and Prediction of Storms (CAPS) at the University of Oklahoma.
The WRF Model is designed to be extremely flexible and powerful over applications that range from
fundamental atmospheric research to operational weather prediction. Global interest in the model
has grown quickly, especially in eastern Asia. For example, the Chinese Academy of Meteorological
Sciences (CAMS) of the Chinese Meteorological Administration (CMA) is currently using the
architecture and coding conventions of the WRF Model as templates during the development of
their own NWP model known as the Global/Regional Assimilation and Prediction Enhanced System (GRAPES).
In 2002, NCAR and CAMS decided to collaborate on the development and testing of their respective NWP models.
A component of this effort is to assess the WRF Model's ability to simulate extreme weather on a broad
range of scales over eastern China. Phenomena of interest include mesoscale convective systems (MCSs)
that form downwind of the Tibetan Plateau and inundate communities in eastern China with torrential rain.
Some of these MCSs are associated with mesoscale convective vortices (MCVs).
During the 2nd NCAR/CAMS Joint Workshop on NWP Model Development in spring of 2003, scientists from the U.S. and China established
the initial steps in this collaboration. The first of these steps is to choose for concentrated study a
few cases of extreme weather that coincided with scientific field campaigns, in the hope that
unusually rich observations made during the campaigns might aid efforts to evaluate the realism
of model simulations. Researchers are currently selecting candidate cases.
Principal Investigators:
- Chris Davis
- Jason Knievel
International Collaborating Scientists:
- Shen Xueshun
- Shen Yuanfang
- Wang Shiyu
- Huang Liping
- Xu Guoqiang
- Yang Xuesheng
Publications
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