Number of the records: 1  

SantanderMetGroup/downscaleR

  1. 1.
    SYSNO ASEP0499776
    Document TypeL4 - Software
    R&D Document TypeSoftware
    TitleSantanderMetGroup/downscaleR
    Author(s) Bedia, J. (ES)
    Bhend, J. (CH)
    De Felice, M. (ES)
    Fernández, J. (ES)
    Frias, M. D. (ES)
    Gutiérrez, J. M. (ES)
    Sixto, H. (ES)
    Iturbide, M. (ES)
    Manzanas, R. (ES)
    Szabó-Takács, Beáta (UEK-B) RID, SAI, ORCID
    Year of issue2018
    Int.CodeGPL3.0.5
    Technical parametersAn R package for bias correction and statistical downscaling License: GPL (>= 3) Version: 3.0.5
    Economic parametersDownscaleR 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.
    Owner NameÚstav výzkumu globální změny AV ČR, v. v. i.
    Registration Number of the result owner86652079
    License fee feeN - Poskytovatel licence nepožaduje licenční poplatek
    Internal identification code of the product assigned by its creator, Regulation no.,GPL3.0.5
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsbias correction ; perfect-prog downscaling ; climate model
    Subject RIVDG - Athmosphere Sciences, Meteorology
    OECD categoryMeteorology and atmospheric sciences
    Research InfrastructureCzeCOS II - 90061 - Ústav výzkumu globální změny AV ČR, v. v. i.
    Institutional supportUEK-B - RVO:86652079
    AnnotationAn 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.
    WorkplaceGlobal Change Research Institute
    ContactNikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268
    Year of Publishing2019
    Electronic addresshttps://rdrr.io/github/SantanderMetGroup/downscaleR/#vignettes
Number of the records: 1  

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