In this study, the effects of background error covariance (BE) using stream function ψ and unbalanced velocity potential χ u as momentum control variables (CV5 scheme) BE U V (CV7 on assimilating radar radial reflectivity data for short-term forecasts dispersive convection in a weak environmental field are explored based weather research forecasting model (WRF) its 3DVAR assimilation system. Th...

In autumn deep convection in the Mediterranean region is a common phenomenon. The local events characterized by deep convection are still a difficult task even for high resolution numerical weather prediction. Three flood cases, produced by convection either embedded in a large scale system or locally developed, occurring in Italy, are presented. All these case were not correctly forecasted: Sa...

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...

More and more satellite constellations ground receivers are available all over the world, they can provide rich ionospheric remote sensing data sources. Due to fact that different analysis centers use generation techniques stations, their routinely released Global Ionosphere Maps (GIMs) have some differences. To study problems of how many stations which should be optimally chosen generate GIMs,...

[1] A Whole atmosphere Data Assimilation System (WDAS) is used to simulate the January 2009 sudden stratospheric warming (SSW). WDAS consists of the Whole Atmosphere Model (WAM) and the 3-dimensional variational (3DVar) analysis system GSI (Grid point Statistical Interpolation), modified to be compatible with the WAMmodel. An incremental analysis update (IAU) scheme was implemented in the data ...