Publicación:
The Impact of Microphysics Parameterization in the Simulation of Two Convective Rainfall Events over the Central Andes of Peru Using WRF-ARW

dc.contributor.author Martínez-Castro, Daniel es_PE
dc.contributor.author Kumar, Shailendra es_PE
dc.contributor.author Flores Rojas, José Luis es_PE
dc.contributor.author Moya-Álvarez, Aldo es_PE
dc.contributor.author Valdivia-Prado, Jairo M. es_PE
dc.contributor.author Villalobos-Puma, Elver es_PE
dc.contributor.author Castillo-Velarde, Carlos Del es_PE
dc.contributor.author Silva-Vidal, Yamina es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2019-08-01
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
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.3390/atmos10080442
dc.identifier.uri https://hdl.handle.net/20.500.12390/1343
dc.language.iso eng
dc.publisher MDPI AG
dc.relation.ispartof Atmosphere
dc.rights info:eu-repo/semantics/openAccess
dc.subject WRF-ARW model
dc.subject Cloud microphysics parameterization es_PE
dc.subject Ka band radar es_PE
dc.subject Complex orography es_PE
dc.subject Central Andes es_PE
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#1.05.09
dc.title The Impact of Microphysics Parameterization in the Simulation of Two Convective Rainfall Events over the Central Andes of Peru Using WRF-ARW
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
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