SantanderMetGroup/downscaleR

0499776 - ÚVGZ 2019 RIV CZ eng L4 - Software
Bedia, J. - Bhend, J. - De Felice, M. - Fernández, J. - Frias, M. D. - Gutiérrez, J. M. - Sixto, H. - Iturbide, M. - Manzanas, R. - Szabó-Takács, Beáta
SantanderMetGroup/downscaleR.
Internal code: GPL3.0.5 ; 2018
Technical parameters: An R package for bias correction and statistical downscaling License: GPL (>= 3) Version: 3.0.5
Economic parameters: DownscaleR is an R package for empirical-statistical downscaling focusing on daily data and covering the most popular approaches (bias correction, Model Output Statistics, Perfect Prognosis) and techniques (e.g. quantile mapping, regression, analogs, neural networks). This package has been conceived to work in the framework of both seasonal forecasting and climate change studies.
Research Infrastructure: CzeCOS II - 90061
Institutional support: RVO:86652079
Keywords : bias correction * perfect-prog downscaling * climate model
OECD category: Meteorology and atmospheric sciences
https://rdrr.io/github/SantanderMetGroup/downscaleR/#vignettes

An R package for bias correction and statistical downscaling. Tools for climate data calibration (bias correction, qq-mapping...) and perfect-prog downscaling, as part of climate4R bundle (http://meteo.unican.es/climate4R). Focused on daily data, downscaleR is conceived for dealing also with seasonal forecast ensemble predictions.
Permanent Link: http://hdl.handle.net/11104/0291965