Abstract: An analysis is developed to initialize a cloud-resolving model from an explicit structure of a precipitating convective system derived from multiple-Doppler radar observations. The different fields of the model prognostic ...

Abstract: A three-dimensional variational data assimilation (3DVAR) system has been developed to provide analyses of the ice?ocean state and to initialize a coupled ice?ocean numerical model for forecasting sea ice conditions. This ...

Abstract: A new method based on four-dimensional variational radar data assimilation into a cloud-resolving model has been developed for nowcasting purposes. This method allows for the retrieval of the model prognostic variables ...

Abstract: Any comprehensive numerical model is composed of two parts: a dynamical kernel solving for the fluid mechanical field equations and a physical package to parameterize the ensemble effect of subgrid-scale processes upon the ...

Abstract: In this paper, the authors examine the kinematic and thermodynamic characteristics of a shallow hailstorm sampled by the McGill bistatic multiple-Doppler radar network on 26 May 1997. This storm consists of two main shallow ...

Abstract: A 3D wind analysis based on single-Doppler data is proposed using mass conservation and assuming a linear horizontal wind field, which is constant in a moving reference frame. Data over an assimilation period that includes ...

Abstract: n this paper a method to directly assimilate brightness temperatures from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) to produce ice concentration analyses within a three-dimensional ...

Abstract: A nonlocal quasi-phase radio occultation (RO) observation operator is evaluated in the assimilation of Challenging Minisatellite Payload (CHAMP) radio occultation refractivity using a Weather Research and Forecasting (WRF) ...