All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

SantanderMetGroup/downscaleR

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F18%3A00499776" target="_blank" >RIV/86652079:_____/18:00499776 - isvavai.cz</a>

  • Result on the web

    <a href="https://rdrr.io/github/SantanderMetGroup/downscaleR/#vignettes" target="_blank" >https://rdrr.io/github/SantanderMetGroup/downscaleR/#vignettes</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    SantanderMetGroup/downscaleR

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    GPL3.0.5

  • Technical parameters

    An R package for bias correction and statistical downscaling License: GPL (>= 3) Version: 3.0.5

  • Economical 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.

  • Owner IČO

    86652079

  • Owner name

    Ústav výzkumu globální změny AV ČR, v. v. i.