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Monthly precipitation data before and after bias-correction from CHIRPS, TerraClimate and WorldClim for the Upper Cauca River Basin , Colombia

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Storage:	The size of this resource is 888.7 KB
Created:	Aug 03, 2023 at 2:22 p.m.
Last updated:	Mar 20, 2024 at 11:59 a.m.
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Sharing Status:	Public
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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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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Upper Cauca River Basin

North Latitude

5.0537°

East Longitude

-76.9710°

South Latitude

2.1032°

West Longitude

-75.3793°

Temporal

Start Date:
End Date:

Content

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How to Cite

Romero, C. M., A. Avila-Diaz, B. Quesada, F. Medeiros, W. L. Cerón, J. P. Guzmán Escalante, C. Ocampo-Marulanda, R. Rodrigues Torres, C. F. Zuluaga (2024). Monthly precipitation data before and after bias-correction from CHIRPS, TerraClimate and WorldClim for the Upper Cauca River Basin , Colombia, HydroShare, http://www.hydroshare.org/resource/b1f1b8bd58b644229f2a77d8e886098d

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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