Mostrar el registro sencillo del ítem

dc.contributor.authorCasaretto, Gimena
dc.contributor.authorDillon, María Eugenia
dc.contributor.authorSalio, Paola
dc.contributor.authorGarcía Skabar, Yanina
dc.contributor.authorNesbitt, Stephen
dc.contributor.authorSchumacher, Russ S.
dc.contributor.authorGarcía, Carlos Marcelo
dc.contributor.authorCatalini, Carlos
dc.date.accessioned2023-04-13T16:03:05Z
dc.date.available2023-04-13T16:03:05Z
dc.date.issued2022-02
dc.identifier.citationCasaretto, G., M. E. Dillon, P. Salio, Y. G. Skabar, S. W. Nesbitt, R. S. Schumacher, C. M. García, and C. Catalini, 2022: High-Resolution NWP Forecast Precipitation Comparison over Complex Terrain of the Sierras de Córdoba during RELAMPAGO-CACTI. Wea. Forecasting, 37, 241–266, https://doi.org/10.1175/WAF-D-21-0006.1.es
dc.identifier.issn1520-0434
dc.identifier.urihttp://hdl.handle.net/20.500.12160/2411
dc.descriptionFil: Casaretto, Gimena. Servicio Meteorológico Nacional. Dirección Nacional de Ciencia e Innovación en Productos y Servicios. Dirección de Productos de Modelación Ambiental y de Sensores Remotos; Argentina.es
dc.descriptionFil: Dillon, María Eugenia. Servicio Meteorológico Nacional. Dirección Nacional de Ciencia e Innovación en Productos y Servicios. Dirección de Productos de Modelación Ambiental y de Sensores Remotos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina.es
dc.descriptionFil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Instituto Franco-Argentino sobre Estudios de Clima y sus Impactos; Argentina.es
dc.descriptionFil: García Skabar, Yanina. Servicio Meteorológico Nacional. Dirección Nacional de Ciencia e Innovación en Productos y Servicios. Dirección de Productos de Modelación Ambiental y de Sensores Remotos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Franco Argentino sobre Estudios del Clima y sus Impactos; Argentina.es
dc.descriptionFil: Nesbitt, Stephen W. University of Illinois at Urbana-Champaign. Department of Atmospheric Sciences; Estados Unidos.es
dc.descriptionFil: Schumacher, Russ S. Colorado State University. Department of Atmospheric Science; Estados Unidos.es
dc.descriptionFil: García, Carlos Marcelo. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Estudios Avanzados en Ingeniería y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Católica de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.es
dc.descriptionFil: Catalini, Carlos. Instituto Nacional del Agua. Subgerencia Centro de la Región Semiárida; Argentina. Universidad Católica de Córdoba. Facultad de Ingeniería; Argentina.es
dc.description.abstractSierras de Cordoba (Argentina) is characterized by the occurrence of extreme precipitation events during the austral warm season. Heavy precipitation in the region has a large societal impact, causing flash floods. This motivates the forecast performance evaluation of 24-h accumulated precipitation and vertical profiles of atmospheric variables from different numerical weather prediction (NWP) models with the final aim of helping water management in the region. The NWP models evaluated include the Global Forecast System (GFS), which parameterizes convection, and convection-permitting simulations of the Weather Research and Forecasting (WRF) Model configured by three institutions: University of Illinois at Urbana–Champaign (UIUC), Colorado State University (CSU), and National Meteorological Service of Argentina (SMN). These models were verified with daily accumulated precipitation data from rain gauges and soundings during the RELAMPAGO-CACTI field campaign. Generally all configurations of the higher-resolution WRFs outperformed the lower-resolution GFS based on multiple metrics. Among the convection-permitting WRF Models, results varied with respect to rainfall threshold and forecast lead time, but the WRFUIUC mostly performed the best. However, elevation-dependent biases existed among the models that may impact the use of the data for different applications. There is a dry (moist) bias in lower (upper) pressure levels which is most pronounced in the GFS. For Cordoba an overestimation of the northern ´ flow forecasted by the NWP configurations at lower levels was encountered. These results show the importance of convection-permitting forecasts in this region, which should be complementary to the coarser-resolution global model forecasts to help various users and decision-makers.es
dc.language.isoenges
dc.publisherAmerican Meteorological Societyes
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rights2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policyes
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectFORECAST VERIFICATION/SKILLes
dc.subjectFORECASTINGes
dc.subjectNUMERICAL WEATHER PREDICTION/FORECASTINGes
dc.subjectMODEL COMPARISONes
dc.subjectMODEL EVALUATION/PERFORMANCEes
dc.titleHigh-Resolution NWP Forecast Precipitation Comparison over Complex Terrain of the Sierras de Cordoba during RELAMPAGO-CACTIes
dc.typeArtículoes

Thumbnail
Thumbnail

Mostrar el registro sencillo del ítem