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”

An R package for assessment of statistical downscaling methods for hydrological climate change impact studies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F17%3A73643" target="_blank" >RIV/60460709:41330/17:73643 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.envsoft.2017.03.036" target="_blank" >http://dx.doi.org/10.1016/j.envsoft.2017.03.036</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.envsoft.2017.03.036" target="_blank" >10.1016/j.envsoft.2017.03.036</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An R package for assessment of statistical downscaling methods for hydrological climate change impact studies

  • Original language description

    Due to inherent bias the climate model simulated precipitation and temperature cannot be used to drive a hydrological model without pre-processing - statistical downscaling. This often consists of reducing the bias in the climate model simulations (bias correction) and/or transformation of the observed data in order to match the projected changes (delta change). The validation of the statistical downscaling methods is typically limited to the scale for which the transformation was calibrated and the driving variables (precipitation and temperature) of the hydrological model. The paper introduces an R package musica which provides ready to use tools for routine validation of statistical downscaling methods at multiple time scales as well as several advanced methods for statistical downscaling. The musica package is used to validate simulated runoff. It is shown that using conventional methods for downscaling of precipitation and temperature often leads to substantial biases in simulated runoff at all

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10503 - Water resources

Result continuities

  • Project

    <a href="/en/project/GA16-16549S" target="_blank" >GA16-16549S: Soil moisture and runoff droughts in a changing climate</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Environmental Modelling & Software

  • ISSN

    1364-8152

  • e-ISSN

  • Volume of the periodical

    2017

  • Issue of the periodical within the volume

    95

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    7

  • Pages from-to

    22-28

  • UT code for WoS article

    000406177500003

  • EID of the result in the Scopus database

    2-s2.0-85013014176