Integrated Velocity Retrieval on Radar Network Environment

Integrated Velocity Retrieval on Radar Network Environment

Eiichi Yoshikawa1, N. Matayoshi1, Tomoo Ushio2, and V. Chandrasekar3 Japan Aerospace Exploration Agency1, Osaka University2, Colorado State University3

Radar network is getting attention for detecting hazardous weather phenomena and retrieving physical parameters more efficiently and accurately. Collaborative Adaptive Sensing of the Atmosphere (CASA) [1] has proposed a radar network system using short-range X-band radars for mutually enhancing among weather radars. The Ku-band broadband radar network (Ku-BBR network) consists of a shorter-range and higher-resolution weather radars in Ku-band [2]. Now integrated retrieval method on radar network environment is demanded to estimate physical parameters of precipitation more accurately than single-radar environment. For the integrated estimation, it is important to consider probabilistic property of measurement error in stochastic sense, in which an optimal solution is derived by averaging measurements with weights corresponding to each probabilistic property. In this presentation, integrated retrieval for 2-D or 3-D velocities from radial velocities on a radar network environment is proposed. A velocity volume processing (VVP) formulation connecting 2/3-D velocities to radial velocities can be extended to a radar network environment. The extended VVP formulation is solved by a Minimum Mean Square Error (MMSE) scheme. Probabilistic property of the measurement error in radial velocity is theoretically derived from received power, and radar observational parameters [3]. Considering the probabilistic properties of measured radial velocities in each radar by MMSE scheme, 2/3-D velocity is optimally calculated in stochastic sense. An integrated VVP formulation on radar network environment, MMSE solution for the integrated VVP, and performance evaluations will be presented.

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