Assessment of Satellite and Radar Quantitative Precipitation Estimates for Real Time Monitoring of Meteorological Extremes Over the Southeast of the Iberian Peninsula

Quantitative Precipitation Estimates (QPEs) obtained from remote sensing or ground-based radars could complement or even be an alternative to rain gauge readings. However, to be used in operational applications, a validation process has to be carried out, usually by comparing their estimates with th...

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Main Authors: Fulgencio Cánovas-García, Sandra García-Galiano, Francisco Alonso-Sarría
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/7/1023
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author Fulgencio Cánovas-García
Sandra García-Galiano
Francisco Alonso-Sarría
author_facet Fulgencio Cánovas-García
Sandra García-Galiano
Francisco Alonso-Sarría
author_sort Fulgencio Cánovas-García
collection DOAJ
description Quantitative Precipitation Estimates (QPEs) obtained from remote sensing or ground-based radars could complement or even be an alternative to rain gauge readings. However, to be used in operational applications, a validation process has to be carried out, usually by comparing their estimates with those of a rain gauges network. In this paper, the accuracy of three QPEs are evaluated for three extreme precipitation events in the last decade in the southeast of the Iberian Peninsula. The first QPE is PERSIANN-CCS (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Cloud Classification System) , a satellite-based QPE. The second and the third are QPEs from a meteorological radar with Doppler capabilities that works in the C band. Pixel-to-point comparisons are made between the values offered by the QPEs and those obtained by two networks of rain gauges. The results obtained indicate that all the QPEs were well below the rain gauge values in extreme rainfall time slots. There seems to be a weak linear association between the value of the discrepancies and the precipitation value of the QPEs. The main conclusion, assuming the information from the rain gauges as ground truth, is that neither PERSIANN-CCS nor radar, without empirical calibration, are acceptable QPEs for the real-time monitoring of meteorological extremes in the southeast of the Iberian Peninsula.
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spelling doaj.art-9b6cc872d5b9493b9a2ef30af43e79132022-12-22T04:14:07ZengMDPI AGRemote Sensing2072-42922018-06-01107102310.3390/rs10071023rs10071023Assessment of Satellite and Radar Quantitative Precipitation Estimates for Real Time Monitoring of Meteorological Extremes Over the Southeast of the Iberian PeninsulaFulgencio Cánovas-García0Sandra García-Galiano1Francisco Alonso-Sarría2Unidad Predepartamental de Ingeniería Civil, Universidad Politécnica de Cartagena, Paseo Alfonso XIII, 52, 30203 Cartagena, SpainUnidad Predepartamental de Ingeniería Civil, Universidad Politécnica de Cartagena, Paseo Alfonso XIII, 52, 30203 Cartagena, SpainInstituto Universitario del Agua y del Medio Ambiente, Universidad de Murcia, Edificio D, Campus de Espinardo, s/n, 30100 Murcia, SpainQuantitative Precipitation Estimates (QPEs) obtained from remote sensing or ground-based radars could complement or even be an alternative to rain gauge readings. However, to be used in operational applications, a validation process has to be carried out, usually by comparing their estimates with those of a rain gauges network. In this paper, the accuracy of three QPEs are evaluated for three extreme precipitation events in the last decade in the southeast of the Iberian Peninsula. The first QPE is PERSIANN-CCS (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Cloud Classification System) , a satellite-based QPE. The second and the third are QPEs from a meteorological radar with Doppler capabilities that works in the C band. Pixel-to-point comparisons are made between the values offered by the QPEs and those obtained by two networks of rain gauges. The results obtained indicate that all the QPEs were well below the rain gauge values in extreme rainfall time slots. There seems to be a weak linear association between the value of the discrepancies and the precipitation value of the QPEs. The main conclusion, assuming the information from the rain gauges as ground truth, is that neither PERSIANN-CCS nor radar, without empirical calibration, are acceptable QPEs for the real-time monitoring of meteorological extremes in the southeast of the Iberian Peninsula.http://www.mdpi.com/2072-4292/10/7/1023quantitative precipitation estimatesvalidationPERSIANN-CCSmeteorological radarsatellite rainfall estimates
spellingShingle Fulgencio Cánovas-García
Sandra García-Galiano
Francisco Alonso-Sarría
Assessment of Satellite and Radar Quantitative Precipitation Estimates for Real Time Monitoring of Meteorological Extremes Over the Southeast of the Iberian Peninsula
Remote Sensing
quantitative precipitation estimates
validation
PERSIANN-CCS
meteorological radar
satellite rainfall estimates
title Assessment of Satellite and Radar Quantitative Precipitation Estimates for Real Time Monitoring of Meteorological Extremes Over the Southeast of the Iberian Peninsula
title_full Assessment of Satellite and Radar Quantitative Precipitation Estimates for Real Time Monitoring of Meteorological Extremes Over the Southeast of the Iberian Peninsula
title_fullStr Assessment of Satellite and Radar Quantitative Precipitation Estimates for Real Time Monitoring of Meteorological Extremes Over the Southeast of the Iberian Peninsula
title_full_unstemmed Assessment of Satellite and Radar Quantitative Precipitation Estimates for Real Time Monitoring of Meteorological Extremes Over the Southeast of the Iberian Peninsula
title_short Assessment of Satellite and Radar Quantitative Precipitation Estimates for Real Time Monitoring of Meteorological Extremes Over the Southeast of the Iberian Peninsula
title_sort assessment of satellite and radar quantitative precipitation estimates for real time monitoring of meteorological extremes over the southeast of the iberian peninsula
topic quantitative precipitation estimates
validation
PERSIANN-CCS
meteorological radar
satellite rainfall estimates
url http://www.mdpi.com/2072-4292/10/7/1023
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