Implementation of a UAV-aided calibration method for a mobile dual-polarization weather radar
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Authors
Buckingham, GiorgioDe La Cruz, Mario
Scipion, Danny
Espinoza, Juan C.
Apaza, Joab
Kemper, Guillermo
Issue Date
2024-06
Metadata
Show full item recordPublisher
Elsevier BVJournal
Egyptian Journal of Remote Sensing and Space ScienceDOI
10.1016/j.ejrs.2024.04.005Abstract
Weather radar calibration is a crucial factor to be considered for quantitative applications, such as QPE (Quantitative Precipitation Estimation), which is used as input for weather risks management. The present work proposes a novel approach to the end-to-end radar calibration method through the characterization of the radar weighting functions. These are Gaussian functions that model an additional attenuation factor to the radar received power. This approach, based on the inclusion these parameters, allow the obtainment of a calibrated equivalent reflectivity factor expression for a Doppler dual-polarization weather radar that operates in the X band. To calculate these parameters, a UAS (Unmanned Aircraft System) was implemented for suspending the calibration target with a well-defined cross-section and for measuring its inclination due to wind using an IMU (Inertial Measurement Unit). From its measurements, the position of the target can be estimated, which is essential to the characterization of the weighting functions. Their inclusion within the radar equation, alongside the implementation of the angular measurement system highlight the innovation to the traditional radar calibration methodology that does not contemplate them from the explored state-of-the-art. The reflectivity was compared with the measurements from a disdrometer for a moderate rain event. An average reflectivity difference of 0.75 dBZ and a percent bias of 3.3 % were obtained between the expected and estimated measurements when including these functions compared to the 1.51 dBZ and –62.7 % obtained when disregarding them. These experimental results point out that the proposed method can deliver superior accuracy in the reflectivity estimation.Type
info:eu-repo/semantics/articleRights
info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 International
Language
engISSN
1110-9823ae974a485f413a2113503eed53cd6c53
10.1016/j.ejrs.2024.04.005
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