Affiliation:
1. Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province, College of Atmospheric Sciences, Lanzhou University, Lanzhou, China
Abstract
Abstract
In this paper, the Weather Research and Forecasting (WRF) Model with the three-dimensional variational data assimilation (WRF-3DVAR) system is used to investigate the impact on the near-surface wind forecast of assimilating both conventional data and Advanced Television Infrared Observation Satellite (TIROS) Operational Vertical Sounder (ATOVS) radiances compared with assimilating conventional data only. The results show that the quality of the initial field and the forecast performance of wind in the lower atmosphere are improved in both assimilation cases. Assimilation results capture the spatial distribution of the wind speed, and the observation data assimilation has a positive effect on near-surface wind forecasts. Although the impacts of assimilating ATOVS radiances on near-surface wind forecasts are limited, the fine structure of local weather systems illustrated by the WRF-3DVAR system suggests that assimilating ATOVS radiances has a positive effect on the near-surface wind forecast under conditions that ATOVS radiances in the initial condition are properly amplified. Assimilating conventional data is an effective approach for improving the forecast of the near-surface wind.
Publisher
American Meteorological Society
Reference41 articles.
1. Can mesoscale models reproduce meandering motions?;Belušić;Quart. J. Roy. Meteor. Soc.,2010
2. Observing-system experiments in the ECMWF 4D-Var assimilation system;Bouttier;Quart. J. Roy. Meteor. Soc.,2001
3. The ECMWF implementation of three dimensional variational (3DVAR) data assimilation. I: Formulation;Courtier;Quart. J. Roy. Meteor. Soc.,1998
4. A comparison of the impact of TOVS and ATOVS satellite sounding data on the accuracy of numerical weather forecasts;English;Quart. J. Roy. Meteor. Soc.,2000
Cited by
19 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献