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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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