Clara Marcela Romero
Universidad del valle
| Subject Areas: | hidrology |
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ABSTRACT:
We gather the precipitation data monthly scale for CHIRPS, WorldClim, and TerraClimate gridded datasets for the Upper Cauca River Basin-UCRB located to the South-West of Colombia for the 1981–2018 period. To bias-correct the precipitation data from these gridded products, we applied a methodology consisting of a point-to-pixel Quantile Mapping (QM) correction to all gridded products. The QM bias correction algorithm technique was used to correct the precipitation dataset that better reproduces the precipitation over the UCRB. The "qmap" package, developed by Lukas Gudmundsson for R software, was used for the computation. The most appropriate method (QM method) was identified as the Empirical Quantile Method, leading to selection of a best-fit precipitation series for each reference location of all gridded products. Recently, we corrected some data sets to adjust the accuracy.
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Created: Aug. 3, 2023, 2:22 p.m.
Authors: Romero, Clara Marcela · Avila-Diaz, Alvaro · Quesada, Benjamin · Medeiros, Felipe · Cerón, Wilmar L. · Guzmán Escalante, Juan Pablo · Ocampo-Marulanda, Camilo · Rodrigues Torres, Roger · Zuluaga, Cristian Felipe
ABSTRACT:
We gather the precipitation data monthly scale for CHIRPS, WorldClim, and TerraClimate gridded datasets for the Upper Cauca River Basin-UCRB located to the South-West of Colombia for the 1981–2018 period. To bias-correct the precipitation data from these gridded products, we applied a methodology consisting of a point-to-pixel Quantile Mapping (QM) correction to all gridded products. The QM bias correction algorithm technique was used to correct the precipitation dataset that better reproduces the precipitation over the UCRB. The "qmap" package, developed by Lukas Gudmundsson for R software, was used for the computation. The most appropriate method (QM method) was identified as the Empirical Quantile Method, leading to selection of a best-fit precipitation series for each reference location of all gridded products. Recently, we corrected some data sets to adjust the accuracy.