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dc.contributor.author
Pal, Sujan  
dc.contributor.author
Dominguez, Francina  
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Dillon, María Eugenia  
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Alvarez, Javier  
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Garcia Rodriguez, Carlos Marcelo  
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Nesbitt, Stephen William  
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Gochis, David  
dc.date.available
2021-07-07T17:59:53Z  
dc.date.issued
2021-02  
dc.identifier.citation
Pal, Sujan; Dominguez, Francina; Dillon, María Eugenia; Alvarez, Javier; Garcia Rodriguez, Carlos Marcelo; et al.; Hydrometeorological observations and modeling of an extreme rainfall event using wrf and wrf-hydro during the relampago field campaign in Argentina; American Meteorological Society; Journal of Hydrometeorology; 22; 2; 2-2021; 331-351  
dc.identifier.issn
1525-755X  
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http://hdl.handle.net/11336/135666  
dc.description.abstract
Some of the most intense convective storms on Earth initiate near the Sierras de Córdoba mountain range in Argentina. The goal of the RELAMPAGO field campaign was to observe these intense convective storms and their associated impacts. The intense observation period (IOP) occurred during November–December 2018. The two goals of the hydrometeorological component of RELAMPAGO IOP were 1) to perform hydrological streamflow and meteorological observations in previously ungauged basins and 2) to build a hydrometeorological modeling system for hindcast and forecast applications. During the IOP, our team was able to construct the stage–discharge curves in three basins, as hydrological instrumentation and personnel were successfully deployed based on RELAMPAGO weather forecasts. We found that the flood response time in these river locations is typically between 5 and 6 h from the peak of the rain event. The satellite-observed rainfall product IMERG-Final showed a better representation of rain gauge–estimated precipitation, while IMERG-Early and IMERG-Late had significant positive bias. The modeling component focuses on the 48-h simulation of an extreme hydrometeorological event that occurred on 27 November 2018. Using the Weather Research and Forecasting (WRF) atmospheric model and its hydrologic component WRF-Hydro as an uncoupled hydrologic model, we developed a system for hindcast, deterministic forecast, and a 60-member ensemble forecast initialized with regional-scale atmospheric data assimilation. Critically, our results highlight that streamflow simulations using the ensemble forecasting with data assimilation provide realistic flash flood forecast in terms of timing and magnitude of the peak. Our findings from this work are being used by the water managers in the region.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Meteorological Society  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CONVECTIVE STORMS  
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FLOOD EVENTS  
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FORECAST VERIFICATION/SKILL  
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HYDROLOGIC MODELS  
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HYDROMETEOROLOGY  
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MESOSCALE MODELS  
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PRECIPITATION  
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Meteorología y Ciencias Atmosféricas  
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Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Hydrometeorological observations and modeling of an extreme rainfall event using wrf and wrf-hydro during the relampago field campaign in Argentina  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
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info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-07-01T14:25:40Z  
dc.journal.volume
22  
dc.journal.number
2  
dc.journal.pagination
331-351  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Boston  
dc.description.fil
Fil: Pal, Sujan. University of Illinois. Urbana - Champaign; Estados Unidos  
dc.description.fil
Fil: Dominguez, Francina. University of Illinois. Urbana - Champaign; Estados Unidos  
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Fil: Dillon, María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina  
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Fil: Alvarez, Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Estudios Avanzados en Ingeniería y Tecnología. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Estudios Avanzados en Ingeniería y Tecnología; Argentina  
dc.description.fil
Fil: Garcia Rodriguez, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Estudios Avanzados en Ingeniería y Tecnología. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Estudios Avanzados en Ingeniería y Tecnología; Argentina  
dc.description.fil
Fil: Nesbitt, Stephen William. University of Illinois. Urbana - Champaign; Estados Unidos  
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Fil: Gochis, David. National Center for Atmospheric Research; Estados Unidos  
dc.journal.title
Journal of Hydrometeorology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://journals.ametsoc.org/view/journals/hydr/22/2/jhm-d-20-0133.1.xml  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1175/JHM-D-20-0133.1