At present, the assimilation of u and v wind vector components calculated from wind speed (SP) and wind direction (DIR) observations (obs) is used as the only scheme for assimilating wind observations into the Weather Research and Forecasting Data Assimilation (WRFDA) three-dimensional variational data assimilation (3D-Var) system. The observational error of the u and v components is assigned b...

Abstract. The Weather Research and Forecasting model data assimilation (WRFDA) system, initially designed for meteorological assimilation, is extended aerosol the WRF coupled with chemistry (WRF-Chem). An interface between WRF-Chem WRFDA built Regional Atmospheric Chemistry Mechanism (RACM) Modal Aerosol Dynamics Model Europe (MADE) Volatility Basis Set (VBS) schemes. This article describes imp...

In the first attempt to configure Fengyun-3B satellite’s Microwave Radiation Imager (MWRI) radiance data in Weather Research Forecast (WRF) model’s Data Assimilation system (WRFDA), impact of MWRI assimilation on analysis and forecast Typhoon Son-Tinh 2012 was evaluated with WRFDA’s three-dimensional variational (3DVAR) data-assimilation scheme. Compared a benchmark experiment no data, assimila...

Background error covariance matrix B plays a crucial role in data assimilation. It ensures a balance preserving transfer of observational information to the unobserved parts of a computational domain. Storage and manipulation require reduction of the number of its non-null entries. In general, reduction is ensured via an appropriate diagonalization procedure resulting in a necessity of storing ...

Abstract To improve the wind speed forecasts at turbine locations and hub height, this study develops WRFDA system to assimilate observations measured on nacelle of turbines (hereafter referred as observations) with both 3DVAR 4DVAR algorithms. Results exhibit that developed data assimilation (DA) helps in greatly improving analysis forecast speed. Among three experiments no cycling DA, 2-h 4-h...