Advances in Geosciences
Advances in Geosciences
ADGEO
Articles | Volume 64
Articles | Volume 64
https://doi.org/10.5194/adgeo-64-33-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/adgeo-64-33-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 64
28 Oct 2024
 | 28 Oct 2024

Generation of spatial grids for hydrometeorological data in hydrogeological investigations for Colombia

Leonardo David Donado and Omar Alfredo Mercado

Cited articles

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Bradbury, K., Dripps, W., Hankley, C., Anderson, M., and Potter, K.: Refinement of two methods for estimation of ground water recharge rates, University of Wisconsin, https://digital.library.wisc.edu/1711.dl/KFEMSXNDWNLS78L (last access: 27 June 2024), 2000. 
Hargreaves, G. H. and Samani, Z. A.: Reference crop evapotranspiration from temperature, Appl. Eng. Agr., 1, 96–99, https://doi.org/10.13031/2013.26773, 1985. 
Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM): Consulta y descarga de datos hidrometeorológicos, http://dhime.ideam.gov.co/atencionciudadano/ (last access: 27 June 2024), 2024. 
Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM).: Zonificación y codificación de unidades hidrográficas e hidrogeológicas de Colombia, ISSN: 2346-4720, 2013. 
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Short summary
In Colombia there are many areas with little or no hydrometeorological information that would allow for adequate water resource management, especially in times of low supply of the resource. In this work, several modeling techniques are implemented to generate data grids of meteorological variables that allow for reliable calculations of the potential recharge of aquifers, controlling uncertainties.
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