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dc.contributor Martínez-Castro, Daniel
dc.contributor Kumar, Shailendra
dc.contributor Flores Rojas, José Luis
dc.contributor Moya-Álvarez, Aldo
dc.contributor Valdivia-Prado, Jairo M.
dc.contributor Villalobos-Puma, Elver
dc.contributor Del Castillo-Velarde, Carlos
dc.contributor Silva-Vidal, Yamina
dc.contributor.author Martínez Castro, Daniel
dc.contributor.author Kumar, Shailendra
dc.contributor.author Flores Rojas, José Luis
dc.contributor.author Moya Álvarez, Aldo Saturnino
dc.contributor.author Valdivia Prado, Jairo Michael
dc.contributor.author Villalobos Puma, Elver Edmundo
dc.contributor.author Del Castillo Velarde, Carlos
dc.contributor.author Silva Vidal, Yamina
dc.date.accessioned 2019-08-09T10:46:43Z
dc.date.available 2019-08-09T10:46:43Z
dc.date.issued 2019-08-01
dc.identifier.citation Martínez-Castro, D., Kumar, S., Flores, J. L., Moya-Álvarez, A., Valdivia-Prado, J. M., Villalobos-Puma, E., ... y Silva-Vidal, Y. (2019). The Impact of Microphysics Parameterization in the Simulation of Two Convective Rainfall Events over the Central Andes of Peru Using WRF-ARW.==$Atmosphere, 10$==(8), 442.
dc.identifier.govdoc index-oti2018
dc.identifier.uri http://repositorio.igp.gob.pe/handle/IGP/4684
dc.description.abstract “The present study explores the cloud microphysics (MPs) impact on the simulation of two convective rainfall events (CREs) over the complex topography of Andes mountains, using the Weather Research and Forecasting- Advanced Research (WRF-ARW) model. The events occurred on December 29 2015 (CRE1) and January 7 2016 (CRE2). Six microphysical parameterizations (MPPs) (Thompson, WSM6, Morrison, Goddard, Milbrandt and Lin) were tested, which had been previously applied in complex orography areas. The one-way nesting technique was applied to four domains, with horizontal resolutions of 18, 6, and 3 km for the outer ones, in which cumulus and MP parameterizations were applied, while for the innermost domain, with a resolution of 0.75 km, only MP parameterization was used. It was integrated for 36 h with National Centers for Environmental Prediction (NCEP Final Operational Global Analysis (NFL) initial conditions at 00:00 UTC (Coordinated Universal Time). The simulations were verified using Geostationary Operational Environmental Satellites (GOES) brightness temperature, Ka band cloud radar, and surface meteorology variables observed at the Huancayo Observatory. All the MPPs detected the surface temperature signature of the CREs, but for CRE2, it was underestimated during its lifetime in its vicinity, matching well after the simulated event. For CRE1, all the schemes gave good estimations of 24 h precipitation, but for CRE2, Goddard and Milbrandt underestimated the 24 h precipitation in the inner domain. The Morrison and Lin configurations reproduced the general dynamics of the development of cloud systems for the two case studies. The vertical profiles of the hydrometeors simulated by different schemes showed significant differences. The best performance of the Morrison scheme for both case studies may be related to its ability to simulate the role of graupel in precipitation formation. The analysis of the maximum reflectivity field, cloud top distribution, and vertical structure of the simulated cloud field also shows that the Morrison parameterization reproduced the convective systems consistently with observations”. en_US
dc.format application/pdf es_ES
dc.language.iso eng es_ES
dc.publisher MDPI es_ES
dc.rights info:eu-repo/semantics/openAccess es_ES
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ es_ES
dc.source Repositorio institucional - IGP es_ES
dc.subject Predicción meteorológica--Modelos es_ES
dc.subject Atmósfera--Simulación numérica--Andes es_ES
dc.subject Investigación del clima es_ES
dc.subject Weather forecast en_US
dc.subject Numerical simulation en_US
dc.subject Meteorology en_US
dc.title The Impact of Microphysics Parameterization in the Simulation of Two Convective Rainfall Events over the Central Andes of Peru Using WRF-ARW en_US
dc.type info:eu-repo/semantics/article es_ES
dc.subject.ocde Meteorología es_ES
dc.identifier.journal Atmosphere en_US
dc.description.peer-review Por pares es_ES
dc.identifier.doi 10.3390/atmos10080442 es_ES

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