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

Revista: Geoscientific Model Development Discussions
Año: 2019  
Estado: Enviado
En este estado desde: 16 Sep 2019
Enlace al 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.

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