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dc.contributor.author
Pal, Sujan
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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
dc.identifier.uri
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.
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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
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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
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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
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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