Memorias de investigación
Research Publications in journals:
Effect of radar rainfall time resolution on the predictive capability of a distributed hydrologic model
Year:2010
Research Areas
  • Hydrology
Information
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 5 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 km 2 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 10 to improve the observed rainfall sub-estimation in both convective and stratiform Z/R relations used over Catalonia. Once the rainfall ¿eld 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 di¿erent resolution is treated as an independent event, resulting in a probable range of input 15 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-¿ow measurement stations
International
Si
JCR
No
Title
Hydrology and earth system sciences
ISBN
1812-2108
Impact factor JCR
0
Impact info
Volume
7
www.hydrol-earth-syst-sci-discuss.net/7/C4231/2010
Journal number
From page
C4231
To page
C4236
Month
ENERO
Ranking
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Hidroinformática y Gestión del Agua