Effect of radar rainfall time resolution on the predictive capability of a distributed hydrologic model

Atencia, A.; Llasat, M.C.; Garrote de Marcos, Luis y Mediero Orduña, Luis (2010). Effect of radar rainfall time resolution on the predictive capability of a distributed hydrologic model. "Hydrology and earth system sciences", v. 7 (n. 5); pp. 7995-8043. ISSN 1812-2108. https://doi.org/10.5194/hessd-7-7995-2010.

Descripción

Título: Effect of radar rainfall time resolution on the predictive capability of a distributed hydrologic model
Autor/es:
  • Atencia, A.
  • Llasat, M.C.
  • Garrote de Marcos, Luis
  • Mediero Orduña, Luis
Tipo de Documento: Artículo
Título de Revista/Publicación: Hydrology and earth system sciences
Fecha: Septiembre 2010
Volumen: 7
Materias:
Escuela: E.T.S.I. Caminos, Canales y Puertos (UPM)
Departamento: Ingeniería Civil: Hidráulica y Energética [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (1MB) | Vista Previa

Resumen

The performance of distributed hydrological models depends on the resolution, both spatial and temporal, of the rainfall surface data introduced. The estimation of quantitative precipitation from meteorological radar or satellite can improve hydrological model results, thanks to an indirect estimation at higher spatial and temporal resolution. In this work, composed radar data from a network of three C-band radars, with 6-minutal temporal and 2 × 2 km2 spatial resolution, provided by the Catalan Meteorological Service, is used to feed the RIBS distributed hydrological model. A Window Probability Matching Method (gage-adjustment method) is applied to four cases of heavy rainfall to improve the observed rainfall sub-estimation in both convective and stratiform Z/R relations used over Catalonia. Once the rainfall field has been adequately obtained, an advection correction, based on cross-correlation between two consecutive images, was introduced to get several time resolutions from 1 min to 30 min. Each different resolution is treated as an independent event, resulting in a probable range of input rainfall data. This ensemble of rainfall data is used, together with other sources of uncertainty, such as the initial basin state or the accuracy of discharge measurements, to calibrate the RIBS model using probabilistic methodology. A sensitivity analysis of time resolutions was implemented by comparing the various results with real values from stream-flow measurement stations.

Más información

ID de Registro: 7166
Identificador DC: http://oa.upm.es/7166/
Identificador OAI: oai:oa.upm.es:7166
Identificador DOI: 10.5194/hessd-7-7995-2010
URL Oficial: http://www.hydrol-earth-syst-sci-discuss.net/7/7995/2010/hessd-7-7995-2010.html
Depositado por: Memoria Investigacion
Depositado el: 20 May 2011 09:46
Ultima Modificación: 20 Abr 2016 16:20
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM