Evaluation of GPM Dual-Frequency Precipitation Radar algorithms to estimate drop size distribution parameters, using ground-based measurement over the Central Andes of Peru

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dc.contributor.authorDel Castillo-Velarde, Carlos
dc.contributor.authorKumar, Shailendra
dc.contributor.authorValdivia Prado, Jairo Michael
dc.contributor.authorMoya Álvarez, Aldo Saturnino
dc.contributor.authorFlores Rojas, José Luis
dc.contributor.authorVillalobos Puma, Elver Edmundo
dc.contributor.authorMartínez-Castro, Daniel
dc.contributor.authorSilva Vidal, Yamina
dc.coverage.spatialAndes
dc.coverage.spatialHuancayo
dc.coverage.spatialPerú
dc.date2021-06-30
dc.date.accessioned2021-09-03T17:13:05Z
dc.date.available2021-09-03T17:13:05Z
dc.date.issued2021-09
dc.description.abstractThe raindrop size distribution (DSD) parameters, which consists of the mass-weighted average diameter (Dm) and the scaling parameter for the concentration (Nw) are essential to estimate precipitation in numerical modelling and other research areas such as the Global Precipitation Measurement (GPM) core satellite. In the present work, we used the GPM Dual-Frequency Precipitation Radar algorithms (GPM-DPR), single (SF) and dual (DF) frequency, and in situ observations to derive the DSD parameters and evaluate the performance of algorithms under the complex orography and climate regime of the central Andes. We used data from optical disdrometer and Ka-band profiler radar over Huancayo Observatory during the austral summer monsoon. Our results indicate that the GPM-DPR algorithms have problems to correctly estimate the DSD parameters of convective rains due to the high variability in time and space of this type of rain and is the result of fixing the shape parameter (µ). The estimation of DSD parameters in stratiform rains, which are very common in the central Andes, is strongly affected by the limitation of the DF algorithm in light rain rates caused by its inability to estimate Dm < 1 mm.es_ES
dc.description.peer-reviewPor pareses_ES
dc.formatapplication/pdfes_ES
dc.identifier.citationDel Castillo-Velarde, C., Kumar, S., Valdivia-Prado, J. M., Moya-Álvarez, A. S., Flores-Rojas, J. L., Villalobos-Puma, E., ... Silva-Vidal, Y. (2021). Evaluation of GPM Dual-Frequency Precipitation Radar algorithms to estimate drop size distribution parameters, using ground-based measurement over the Central Andes of Peru.==$Earth Systems and Environment, 5$==(3), 597-619. https://doi.org/10.1007/s41748-021-00242-5es_ES
dc.identifier.doihttps://doi.org/10.1007/s41748-021-00242-5es_ES
dc.identifier.govdocindex-oti2018
dc.identifier.journalEarth Systems and Environmentes_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12816/5004
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.ispartofurn:issn:2509-9434
dc.rightsinfo:eu-repo/semantics/closedAccesses_ES
dc.subjectGPMes_ES
dc.subjectDisdrometeres_ES
dc.subjectRadares_ES
dc.subjectAlgorithmses_ES
dc.subjectDSD parameterses_ES
dc.subjectLAMARes_ES
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.05.09es_ES
dc.titleEvaluation of GPM Dual-Frequency Precipitation Radar algorithms to estimate drop size distribution parameters, using ground-based measurement over the Central Andes of Perues_ES
dc.typeinfo:eu-repo/semantics/articlees_ES

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