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dc.contributor.author
Dinapoli, Matias
dc.contributor.author
Simionato, Claudia Gloria
dc.contributor.author
Moreira, Diego
dc.date.available
2021-10-18T15:45:59Z
dc.date.issued
2020-06
dc.identifier.citation
Dinapoli, Matias; Simionato, Claudia Gloria; Moreira, Diego; Model Sensitivity during Extreme Positive and Negative Surges in the Río de la Plata Estuary: Highlighting the Need for an Appropriate Hindcast/Forecast System; Amer Meteorological Soc; Weather and Forecasting; 35; 3; 6-2020; 1097-1112
dc.identifier.issn
0882-8156
dc.identifier.uri
http://hdl.handle.net/11336/144096
dc.description.abstract
The large and fast-flowing Río de la Plata (RdP) estuary is affected by extreme storm surges (above ±2 m with respect to tidal datum), which have large impacts on the millions of inhabitants and for navigation. In this work the Coastal and Regional Ocean Community Model (CROCO) numerical model was modified and implemented as a set of regional one-way nested 2D applications for the hindcast/forecast of water level in the RdP. A sensitivity analysis (SA) was carried out to determine the impact on the numerical solutions of the uncertainties in the different modeling parameter forcings and to highlight the need for the construction of a modeling system that provides meaningful information to the potential users. The SA included the friction coefficients, the wind speed and di-rection, the atmospheric surface pressure, and the continental discharge. Water level is most sensitive to uncertainties in the wind forcing; even small changes in this input can create large errors in the water level forecast/hindcast. Forcing with different analyses’ wind products yielded differences of up to 50% in the peak water levels. Results also showed that the modeling system requires a reasonable adjustment of the bottom friction parameters; that it is important to include the atmospheric surface pressure forcing; and that, from the point of view of water level forecast, it is not necessary to couple a hydrological model in spite of the enormous runoff of this estuary. Given the strong sensitivity to errors in the wind forcing, we believe it is important to provide estimates of uncertainty together with hindcast/forecast water level for these predictions to be of greatest quality and practical applicability.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Amer Meteorological Soc
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Model sensitivity
dc.subject
Storm surge modelling
dc.subject
Río de la Plata estuary
dc.subject
Forecast
dc.subject.classification
Oceanografía, Hidrología, Recursos Hídricos
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Model Sensitivity during Extreme Positive and Negative Surges in the Río de la Plata Estuary: Highlighting the Need for an Appropriate Hindcast/Forecast System
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-09-07T18:14:40Z
dc.journal.volume
35
dc.journal.number
3
dc.journal.pagination
1097-1112
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Dinapoli, Matias. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
dc.description.fil
Fil: Simionato, Claudia Gloria. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
dc.description.fil
Fil: Moreira, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
dc.journal.title
Weather and Forecasting
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://journals.ametsoc.org/doi/10.1175/WAF-D-19-0171.1
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1175/WAF-D-19-0171.1
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