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

Atencia, A. and Llasat, M.C. and Garrote de Marcos, Luis and Mediero Orduña, Luis Jesús (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.

Description

Title: Effect of radar rainfall time resolution on the predictive capability of a distributed hydrologic model
Author/s:
  • Atencia, A.
  • Llasat, M.C.
  • Garrote de Marcos, Luis
  • Mediero Orduña, Luis Jesús
Item Type: Article
Título de Revista/Publicación: Hydrology and earth system sciences
Date: September 2010
ISSN: 1812-2108
Volume: 7
Subjects:
Faculty: E.T.S.I. Caminos, Canales y Puertos (UPM)
Department: Ingeniería Civil: Hidráulica y Energética [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

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.

More information

Item ID: 7166
DC Identifier: http://oa.upm.es/7166/
OAI Identifier: oai:oa.upm.es:7166
DOI: 10.5194/hessd-7-7995-2010
Official URL: http://www.hydrol-earth-syst-sci-discuss.net/7/7995/2010/hessd-7-7995-2010.html
Deposited by: Memoria Investigacion
Deposited on: 20 May 2011 09:46
Last Modified: 26 Jun 2018 14:16
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM