Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-1711-2020
https://doi.org/10.5194/gmd-13-1711-2020
Development and technical paper
 | 
01 Apr 2020
Development and technical paper |  | 01 Apr 2020

Statistical downscaling with the downscaleR package (v3.1.0): contribution to the VALUE intercomparison experiment

Joaquín Bedia, Jorge Baño-Medina, Mikel N. Legasa, Maialen Iturbide, Rodrigo Manzanas, Sixto Herrera, Ana Casanueva, Daniel San-Martín, Antonio S. Cofiño, and José Manuel Gutiérrez

Model code and software

downscaleR J. Bedia, J. Baño-Medina, A. Casanueva, A. S. Cofiño, J. M. Gutiérrez, J. HerreraBedia, J. Baño-Medina, A. Casanueva, A. S. Cofiño, J. M. Gutiérrez, S. Herrera, M. Iturbide, M. N. Legasa, R. Manzanas, and D. San-Martín https://doi.org/10.5281/zenodo.3277316

SantanderMetGroup/notebooks: downsaleR notebooks J. Bedia, J. Baño-Medina, A. Casanueva, A. S. Cofiño, J. M. Gutiérrez, J. HerreraBedia, J. Baño-Medina, A. Casanueva, A. S. Cofiño, J. M. Gutiérrez, S. Herrera, M. Iturbide, M. N. Legasa, R. Manzanas, and D. San-Martín https://doi.org/10.5281/zenodo.3567736

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Short summary
We introduce downscaleR, an open-source tool for statistical downscaling (SD) of climate information, implementing the most popular approaches and state-of-the-art techniques. It makes possible the development of end-to-end downscaling applications, from data retrieval to model building, validation, and prediction, bringing to climate scientists and practitioners a unique comprehensive framework for the development of complex and fully reproducible SD experiments.