SantanderMetGroup/downscaleR v3.0.0

Published June 14, 2018 | Version v3.0.0

Software Open

1. Meteorology Group - University of Cantabria
2. Grupo de Meteorología, Department of Applied Mathematics and Computer Science, Universidad de Cantabria (UC), Av. de los Castros s/n, Santander, 39005, Spain
3. CSIC - Universidad de Cantabria
4. EPAM Systems
5. DG JRC - European Commission

New in downscaleR v3

New user interface for flexible definition of predictors (prepareData) and prediction data (prepareNewData).
New method (neural networks) available for perfect-prog downscaling
New workhorse function downscale for perfect-prog/MOS downscaling with different methods (GLM, Analogs..., more soon)
Flexible method calibration/prediction via downscale.train and downscale.predict
New helper function for flexible cross-validation experimental setups: downscale.cv
Improved efficiency in biasCorrection, including a parallelization option
New options for a more flexible parametric quantile mapping method design
All changes in predictor/predictand definition have been double-checked against MeteoLab for consistency
Other documentation updates and enhancements
See the updates in the wiki for worked examples

Files

Name	Size	Download all
SantanderMetGroup/downscaleR-v3.0.0.zip md5:48ff03195498573578a67e0bf044672c	113.3 kB	Preview Download

Is supplement to: https://github.com/SantanderMetGroup/downscaleR/tree/v3.0.0 (URL)

Citations

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