Assimilation of Polarimetric Radar Data in Simulation of a Supercell Storm with a Variational Approach and the WRF Model

Polarimetric radar data (PRD) have potential to be used in numerical weather prediction (NWP) models improve convective-scale forecasts. However, thus far only a few studies been undertaken this research direction. To assimilate PRD NWP models, forward operator, also called simulator, is needed establish the relation between model physics parameters and polarimetric variables. Such operator needs accurate enough make quantitative comparisons observations output feasible, computationally efficient so that these can easily incorporated into assimilation (DA) scheme. address concern, set of parameterized simulators for horizontal reflectivity, differential specific phase, cross-correlation coefficient were developed. In study, we tested performance new operators variational DA system. Firstly, tangent linear adjoint (TL/AD) developed checked validity. Then, both its built three-dimensional (3DVAR) Finally, some preliminary experiments performed with an idealized supercell storm. It found PRD, including reflectivity addition radial velocity enhance accuracy initial conditions hydrometer state variables ensuing The usefulness very limited terms improving analysis NWP.