Assimilation of Simulated Polarimetric Radar Data Using Ensemble Kalman Filter: Observation Operators, Error Modeling and Data Impact
نویسندگان
چکیده
منابع مشابه
Simultaneous Estimation of Microphysical Parameters and Atmospheric State using Simulated Polarimetric Radar Data and Ensemble Kalman Filter in the Presence of Observation Operator Error
The impact of polarimetric radar data on the estimation of uncertain microphysical parameters is investigated when the effect of uncertain parameters on the observation operators is also considered. Five fundamental microphysical parameters, i.e., the intercept parameters of rain, snow and hail and the bulk densities of snow and hail, are estimated individually or collectively using the ensembl...
متن کاملAssimilation of Simulated Polarimetric Radar Data for a Convective Storm Using Ensemble Kalman Filter. Part I: Observation Operators for Reflectivity and Polarimetric Variables
i Abstract A radar simulator for polarimetric radar variables including reflectivities at horizontal and vertical polarizations, the differential reflectivity and the specific differential phase, has been developed. This simulator serves as a testbed for developing and testing forward observation operators of polarimetric radar variables that are needed when directly assimilating these variable...
متن کاملError modeling of simulated reflectivity observations for ensemble Kalman filter assimilation of convective storms
[1] The impact of two different ways of modeling errors in simulated radar reflectivity data for observing system simulation experiments (OSSEs) with an ensemble Kalman filter is investigated. An error model different from the one used in earlier studies is introduced, and it specifies relative Gaussian-distributed errors in the linear domain of the equivalent radar reflectivity factor. This mo...
متن کاملAssimilation of Simulated Polarimetric Radar Data for a Convective Storm Using Ensemble Kalman Filter. Part II: Impact of Polarimetric Data on Storm Analysis
i Abstract A data assimilation system based on the ensemble square-root Kalman filter (EnSRF) is extended to include the additional capability of assimilating polarimetric radar variables. It is used to assess the impact of simulating additional polarimetric observations on convective storm analysis in an OSSE (Observing System Simulation Experiment) framework. The polarimetric variables consid...
متن کاملAssimilation of Simulated Polarimetric Radar Data for a Convective Storm Using the Ensemble Kalman Filter. Part II: Impact of Polarimetric Data on Storm Analysis
A data assimilation system based on the ensemble square-root Kalman filter (EnSRF) is extended to include the additional capability of assimilating polarimetric radar variables. It is used to assess the impact of assimilating additional polarimetric observations on convective storm analysis in the Observing System Simulation Experiment (OSSE) framework. The polarimetric variables considered inc...
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تاریخ انتشار 2006