A simple regionalization approach as an alternative to obtain rainfall data in a tropical and ungauged catchment

(Eng) The availability of rainfall information with high spatial resolution is of fundamental importance in many applications in the field of water resources. Commonly, the rainfall data in developing countries are obtained by rain gauge stations. However, many studies show that traditional measures...

Full description

Autores:
Alvis, José F.
Martínez Cano, Carlos
Galvis, Alberto
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Universidad del Valle
Repositorio:
Repositorio Digital Univalle
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.univalle.edu.co:10893/18388
Acceso en línea:
https://hdl.handle.net/10893/18388
Palabra clave:
Sesgo
Cokriging
Regionalización
Datos satelitales
Bias
Cokriging
Regionalization
Satellite data
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
Description
Summary:(Eng) The availability of rainfall information with high spatial resolution is of fundamental importance in many applications in the field of water resources. Commonly, the rainfall data in developing countries are obtained by rain gauge stations. However, many studies show that traditional measures based on rain gauge stations may not reflect the spatial variation of rainfall effectively. Although satellite data have been widely used around the world, when applied to local regions the spatial resolution of these products is too coarse. In this paper, an approach to identify a downscaling method through geostatistical regionalization to improve water resources models with short spatial and temporal scales and with limited rainfall data is presented. Three different models were applied: Cokriging, Inverse Distance Weight (IDW) and Kriging. Statistical parameters such as mean absolute error (MAE) and root mean square error (RMSE) were computed. A cross-validation process showed a better fit for most of the stations using the Cokriging method. The regionalization results were quite comparable with the rain gauge stations data. Although the model outcomes did not improve remarkably, the contribution of this approach may have the potential to provide useful rainfall data at spatial scales shorter than the present resolution.