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Remote Sens. 2018, 10(11), 1763; https://doi.org/10.3390/rs10111763

Downscaling of Satellite OPEMW Surface Rain Intensity Data

1
Institute of Methodologies for Environmental Analysis, National Research Council (IMAA-CNR), 85100 Potenza, Italy
2
Center of Excellence Telesensing of Environment and Model Prediction of Severe events (CETEMPS), University of L’Aquila, 67100 L’Aquila, Italy
3
Institute for Archaeological and Monumental Heritage, National Research Council (IBAM-CNR), 85100 Potenza, Italy
*
Author to whom correspondence should be addressed.
Received: 9 October 2018 / Revised: 30 October 2018 / Accepted: 5 November 2018 / Published: 8 November 2018
(This article belongs to the Special Issue Remote Sensing of Precipitation)
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Abstract

This paper presents a geostatistical downscaling procedure to improve the spatial resolution of precipitation data. The kriging method with external drift has been applied to surface rain intensity (SRI) data obtained through the Operative Precipitation Estimation at Microwave Frequencies (OPEMW), which is an algorithm for rain rate retrieval based on Advanced Microwave Sounding Units (AMSU) and Microwave Humidity Sounder (MHS) observations. SRI data have been downscaled from coarse initial resolution of AMSU-B/MHS radiometers to the fine resolution of Spinning Enhanced Visible and InfraRed Imager (SEVIRI) flying on board the Meteosat Second Generation (MSG) satellite. Orographic variables, such as slope, aspect and elevation, are used as auxiliary data in kriging with external drift, together with observations from Meteosat Second Generation-Spinning Enhanced Visible and InfraRed Imager (MSG-SEVIRI) in the water vapor band (6.2 µm and 7.3 µm) and in thermal-infrared (10.8 µm and 8.7 µm). The validation is performed against measurements from a network of ground-based rain gauges in Southern Italy. It is shown that the approach provides higher accuracy with respect to ordinary kriging, given a choice of auxiliary variables that depends on precipitation type, here classified as convective or stratiform. Mean values of correlation (0.52), bias (0.91 mm/h) and root mean square error (2.38 mm/h) demonstrate an improvement by +13%, −37%, and −8%, respectively, for estimates derived by kriging with external drift with respect to the ordinary kriging. View Full-Text
Keywords: surface rain intensity; kriging with external drift; PEMW; MSG; SEVIRI; downscaling surface rain intensity; kriging with external drift; PEMW; MSG; SEVIRI; downscaling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Cersosimo, A.; Larosa, S.; Romano, F.; Cimini, D.; Di Paola, F.; Gallucci, D.; Gentile, S.; Geraldi, E.; Teodosio Nilo, S.; Ricciardelli, E.; Ripepi, E.; Viggiano, M. Downscaling of Satellite OPEMW Surface Rain Intensity Data. Remote Sens. 2018, 10, 1763.

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