Assessing Polarimetric Weather Radar Data Quality Under Cross-Polar Coupling and Sampling Limits
J. Heylen (TU Delft - Microwave Sensing, Signals & Systems)
T.K. Dash (TU Delft - Microwave Sensing, Signals & Systems)
Guilherme Theis (Robin Radar Systems)
Rob van der Meer (Robin Radar Systems)
Y. Aslan (TU Delft - Microwave Sensing, Signals & Systems)
Alexander Yarovoy (TU Delft - Microwave Sensing, Signals & Systems)
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Abstract
The impact of cross-polar coupling and a finite available number of echo samples on the data quality of polarimetric weather radar data is investigated. A system model and a two-step simulation approach are proposed to simulate realistic time series of the received weather radar signals. The proposed simulation methodology is applied to a rainfall scenario to illustrate the data quality of two widely used weather radar measurement schemes. Through simulation of the bounds within which 90% of the resulting estimates fall, it is demonstrated that the finite sample size introduces deviations that limit the data quality, even in designs with low cross-polar coupling.
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