[en] Watershed management and hydrological modeling require data related to the very important matter of precipitation, often measured using raingages or weather stations. Hydrological models often require a preliminary spatial interpolation as part of the modeling process. The success of spatial interpolation varies according to the type of model chosen, its mode of geographical management and the resolution used. The quality of a result is determined by the quality of the continuous spatial rainfall which ensues from the interpolation method used. The objective of this article is to review the existing methods for interpolation of rainfall data that are usually required in hydrological modeling. We review the basis for the application of certain common methods and geostatistical approaches used in interpolation of rainfall. Previous studies have highlighted the need for new research to investigate ways of improving the quality of rainfall data and ultimately, the quality of hydrological modeling.
Research Center/Unit :
Univ. of Liège, Gembloux Agro-Bio Tech, Soil-Water Systems Institute of Technology of Cambodia, Department of Rural Engineering
Charles, Catherine ; Université de Liège - ULiège > Sciences agronomiques > Statistique, Inform. et Mathém. appliquée à la bioingénierie
Degré, Aurore ; Université de Liège - ULiège > Sciences et technologie de l'environnement > Systèmes Sol-Eau
Language :
English
Title :
Different methods for spatial interpolation of rainfall data for operational hydrology and hydrological modeling at watershed scale: a review
Alternative titles :
[en] Méthodes de spatialisation de données pluviométriques dédiées à l’hydrologie opérationnelle et à la modélisation hydrologique à l’échelle du bassin versant : une revue bibliographique
Publication date :
2013
Journal title :
Biotechnologie, Agronomie, Société et Environnement
ISSN :
1370-6233
eISSN :
1780-4507
Publisher :
Presses Agronomiques de Gembloux, Gembloux, Belgium
Volume :
17
Issue :
2
Pages :
392-406
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
CUD - Commission Universitaire pour le Développement
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