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Statistical downscaling with package downscaleR: Contribution to the VALUE intercomparison experiment

Journal: Geoscientific Model Development Discussions
Year: 2019  
Status: Submitted
In this status since: 16 Sep 2019
Link to PDF: https://www.geosci-model-dev-discuss.net/gmd-2019-224/
DOI: 10.5194/gmd-2019-224

The main features of the R package downscaleR are showcased through the replication of some of the results obtained in the VALUE Project, making an emphasis in the most technically complex stages of perfect-prog model calibration (predictor screening, cross-validation and model selection) that are accomplished through simple commands allowing for extremely flexible model tuning, tailored to the needs of users requiring an easy interface for different levels of experimental complexity. As part of the open-source climate4R framework, downscaleR is freely available and the necessary data and R scripts to fully replicate the experiments included in this paper are also provided as a companion notebook.

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2019_Bedia_GMDD.pdf888.35 KB
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2019_Bedia_GMDD.pdf888.35 KB