Articles | Volume 13, issue 3
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Joaquin Bedia on behalf of the Authors (14 Dec 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (07 Jan 2020) by Olaf Morgenstern
RR by Anonymous Referee #2 (24 Feb 2020)
ED: Publish as is (28 Feb 2020) by Olaf Morgenstern
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.