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Validation of a global satellite rainfall product for real time monitoring of meteorological extremes
dc.contributor.author | Cánovas García, Fulgencio | |
dc.contributor.author | García Galiano, Sandra Gabriela | |
dc.contributor.author | Karbalaee, Negar | |
dc.date.accessioned | 2020-05-08T07:24:49Z | |
dc.date.available | 2020-05-08T07:24:49Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Fulgencio Cánovas-García, Sandra García-Galiano, Negar Karbalaee, "Validation of a global satellite rainfall product for real time monitoring of meteorological extremes," Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 1042109 (2 November 2017); doi: 10.1117/12.2278398 | es_ES |
dc.identifier.issn | 0277-786X | |
dc.description.abstract | The real time monitoring of storms is important for the management and prevention of flood risks. However, in the southeast of Spain, it seems that the density of the rain gauge network may not be sufficient to adequately characterize the rainfall spatial distribution or the high rainfall intensities that are reached during storms. Satellite precipitation products such as PERSIANN-CCS (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Cloud Classification System) could be used to complement the automatic rain gauge networks and so help solve this problem. However, the PERSIANN-CCS product has only recently become available, so its operational validity for areas such as south-eastern Spain is not yet known. In this work, a methodology for the hourly validation of PERSIANN-CCS is presented. We used the rain gauge stations of the SIAM (Sistema de Información Agraria de Murcia) network to study three storms with a very high return period. These storms hit the east and southeast of the Iberian Peninsula and resulted in the loss of human life, major damage to agricultural crops and a strong impact on many different types of infrastructure. The study area is the province of Murcia (Region of Murcia), located in the southeast of the Iberian Peninsula, covering an area of more than 11,000 km2 and with a population of almost 1.5 million. In order to validate the PERSIANN-CCS product for these three storms, contrasts were made with the hyetographs registered by the automatic rain gauges, analyzing statistics such as bias, mean square difference and Pearson’s correlation coefficient. Although in some cases the temporal distribution of rainfall was well captured by PERSIANN-CCS, in several rain gauges high intensities were not properly represented. The differences were strongly correlated with the rain gauge precipitation, but not with satellite-obtained rainfall. The main conclusion concerns the need for specific local calibration for the study area if PERSIANN-CCS is to be used as an operational tool for the monitoring of extreme meteorological phenomena. | es_ES |
dc.description.sponsorship | This work is the result of a postdoctoral contract funded by Saavedra Fajardo programme (Ref. 20023/SF/16) of the Consejería de Educación y Universidades of CARM (Autonomous Community of Murcia Region), by the Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia. The support and availability of information from the Center for Hydrometeorology and Remote Sensing of University of California-Irvine (USA), and from Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA) of CARM are also acknowledged. | es_ES |
dc.format | application/pdf | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | SPIE | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.title | Validation of a global satellite rainfall product for real time monitoring of meteorological extremes | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.subject.other | Ingeniería Hidráulica | es_ES |
dc.subject | PERSIANN-CCS | es_ES |
dc.subject | Remotely sensed estimated precipitation | es_ES |
dc.subject | Southeast of Spain | es_ES |
dc.subject | Extreme meteorological phenomena | es_ES |
dc.identifier.uri | http://hdl.handle.net/10317/8531 | |
dc.identifier.doi | 10.1117/12.2278398 | |
dc.identifier.url | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10421/1042109/Validation-of-a-global-satellite-rainfall-product-for-real-time/10.1117/12.2278398.full | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.subject.unesco | 2502 Climatología | es_ES |
dc.contributor.funder | Consejería de Educación y Universidades | es_ES |
dc.contributor.funder | Fundación Séneca | es_ES |
dc.contributor.funder | Center for Hydrometeorology and Remote Sensing of University of California-Irvine (USA) | es_ES |
dc.contributor.funder | Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA) | es_ES |
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