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dc.contributor.authorAuthorSilva, Luciana das Dores de Jesus da
dc.contributor.authorAuthorMahmoud, Mohammed
dc.contributor.authorAuthorGonzález-Rodríguez, Lisdelys
dc.contributor.authorAuthorMohammed, Safa
dc.contributor.authorAuthorRodríguez-López, Lien
dc.contributor.authorAuthorAguayo Arias, Mauricio Ivan.
dc.date.accessionedDate Accessioned2024-09-03T19:17:43Z
dc.date.availableDate Available2024-09-03T19:17:43Z
dc.date.issuedDate Issued2023
dc.identifier.citationReferencia BibliográficaRemote Sensing, 15(3), 17 p.
dc.identifier.issnISSN2072-4292
dc.identifier.uriURIhttp://repositorio.udla.cl/xmlui/handle/udla/1351
dc.identifier.uriURIhttps://www.mdpi.com/journal/remotesensing
dc.description.abstractAbstractAccurate rainfall measurement is a challenge, especially in regions with diverse climates and complex topography. Thus, knowledge of precipitation patterns requires observational networks with a very high spatial and temporal resolution, which is very difficult to construct in remote areas with complex geological features such as desert areas and mountains, particularly in countries with high topographical variability such as Chile. This study evaluated the performance of the near-real-time Integrated Multi-satellite Retrievals for GPM (IMERG) Early product throughout Chile, a country located in South America between 16°S–66°S latitude. The accuracy of the IMERG Early was assessed at different special and temporal scales from 2015 to 2020. Relative Bias (PBIAS), Mean Absolute Error (MAE), and Root-Mean-Squared Error (RMSE) were used to quantify the errors in the satellite estimates, while the Probability of Detection (POD), False Alarm Ratio (FAR), and Critical Success Index (CSI) were used to evaluate product detection accuracy. In addition, the consistency between the satellite estimates and the ground observations was assessed using the Correlation Coefficient (CC). The spatial results show that the IMERG Early had the best performance over the central zone, while the best temporal performance was detected for the yearly precipitation dataset. In addition, as latitude increases, so do errors. Also, the satellite product tends to slightly overestimate the precipitation throughout the country. The results of this study could contribute towards the improvement of the IMERG algorithms and open research opportunities in areas with high latitudes, such as Chile.
dc.format.extentdc.format.extent17 páginas
dc.format.extentdc.format.extent13.71Mb
dc.format.mimetypedc.format.mimetypePDF
dc.language.isoLanguage ISOeng
dc.publisherPublisherMDPI
dc.rightsRightsCreative Commons Attribution License (CC BY)
dc.sourceSourcesRemote Sensing
dc.subjectSubjectGPM
dc.subjectSubjectIMERG Early
dc.subjectSubjectPrecipitation remote sensing
dc.titleTitleAssessment of the IMERG early-run precipitation estimates over South American Country of Chile
dc.typeDocument TypeArtículo
dc.udla.catalogadordc.udla.catalogadorCBM
dc.udla.indexdc.udla.indexWoS
dc.udla.indexdc.udla.indexScience Citation Index Expanded
dc.udla.indexdc.udla.indexScopus
dc.udla.indexdc.udla.indexAcademic Search Ultimate
dc.udla.indexdc.udla.indexNatural Science Collection
dc.udla.indexdc.udla.indexDOAJ
dc.udla.indexdc.udla.indexCAB Abstracts
dc.udla.indexdc.udla.indexCompendex
dc.udla.indexdc.udla.indexEngineering Source
dc.udla.indexdc.udla.indexINSPEC
dc.udla.indexdc.udla.indexMaterials Science & Engineering Collection
dc.udla.indexdc.udla.indexTechnology Collection
dc.identifier.doidc.identifier.doi10.3390/rs15030573
dc.facultaddc.facultadFacultad de Ingeniería y Negocios


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