Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil
AbstractThe uncertainties associated with rainfall estimates comprise various measurement scales: from rain gauges and ground-based radars to the satellite rainfall retrievals. The quality of satellite rainfall products has improved significantly in recent decades; however, such algorithms require validation studies using observational rainfall data. For this reason, this study aims to apply the H-SAF consolidated radar data processing to the X-band radar used in the CHUVA campaigns and apply the well established H-SAF validation procedure to these data and verify the quality of EUMETSAT H-SAF operational passive microwave precipitation products in two regions of Brazil (Vale do Paraíba and Manaus). These products are based on two rainfall retrieval algorithms: the physically based Bayesian Cloud Dynamics and Radiation Database (CDRD algorithm) for SSMI/S sensors and the Passive microwave Neural network Precipitation Retrieval algorithm (PNPR) for cross-track scanning radiometers (AMSU-A/AMSU-B/MHS sensors) and for the ATMS sensor. These algorithms, optimized for Europe, Africa and the Southern Atlantic region, provide estimates for the MSG full disk area. Firstly, the radar data was treated with an overall quality index which includes corrections for different error sources like ground clutter, range distance, rain-induced attenuation, among others. Different polarimetric and non-polarimetric QPE algorithms have been tested and the Vulpiani algorithm (hereafter,
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Martins Costa do Amaral, L.; Barbieri, S.; Vila, D.; Puca, S.; Vulpiani, G.; Panegrossi, G.; Biscaro, T.; Sanò, P.; Petracca, M.; Marra, A.C.; Gosset, M.; Dietrich, S. Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil. Remote Sens. 2018, 10, 1743.
Martins Costa do Amaral L, Barbieri S, Vila D, Puca S, Vulpiani G, Panegrossi G, Biscaro T, Sanò P, Petracca M, Marra AC, Gosset M, Dietrich S. Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil. Remote Sensing. 2018; 10(11):1743.Chicago/Turabian Style
Martins Costa do Amaral, Lia; Barbieri, Stefano; Vila, Daniel; Puca, Silvia; Vulpiani, Gianfranco; Panegrossi, Giulia; Biscaro, Thiago; Sanò, Paolo; Petracca, Marco; Marra, Anna C.; Gosset, Marielle; Dietrich, Stefano. 2018. "Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil." Remote Sens. 10, no. 11: 1743.
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