Comparison of Statistical Downscaling Methods for Monthly Total Precipitation: Case Study for the Paute River Basin in Southern Ecuador
Joint Authors
Samaniego, Esteban
Campozano, Lenin
Tenelanda, D.
Sanchez, E.
Feyen, J.
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-31
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Downscaling improves considerably the results of General Circulation Models (GCMs).
However, little information is available on the performance of downscaling methods in the Andean mountain region.
The paper presents the downscaling of monthly precipitation estimates of the NCEP/NCAR reanalysis 1 applying the statistical downscaling model (SDSM), artificial neural networks (ANNs), and the least squares support vector machines (LS-SVM) approach.
Downscaled monthly precipitation estimates after bias and variance correction were compared to the median and variance of the 30-year observations of 5 climate stations in the Paute River basin in southern Ecuador, one of Ecuador’s main river basins.
A preliminary comparison revealed that both artificial intelligence methods, ANN and LS-SVM, performed equally.
Results disclosed that ANN and LS-SVM methods depict, in general, better skills in comparison to SDSM.
However, in some months, SDSM estimates matched the median and variance of the observed monthly precipitation depths better.
Since synoptic variables do not always present local conditions, particularly in the period going from September to December, it is recommended for future studies to refine estimates of downscaling, for example, by combining dynamic and statistical methods, or to select sets of synoptic predictors for specific months or seasons.
American Psychological Association (APA)
Campozano, Lenin& Tenelanda, D.& Sanchez, E.& Samaniego, Esteban& Feyen, J.. 2016. Comparison of Statistical Downscaling Methods for Monthly Total Precipitation: Case Study for the Paute River Basin in Southern Ecuador. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095589
Modern Language Association (MLA)
Campozano, Lenin…[et al.]. Comparison of Statistical Downscaling Methods for Monthly Total Precipitation: Case Study for the Paute River Basin in Southern Ecuador. Advances in Meteorology No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1095589
American Medical Association (AMA)
Campozano, Lenin& Tenelanda, D.& Sanchez, E.& Samaniego, Esteban& Feyen, J.. Comparison of Statistical Downscaling Methods for Monthly Total Precipitation: Case Study for the Paute River Basin in Southern Ecuador. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095589
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095589