Evaluation of simple statistical downscaling methods for monthly regional climate model simulations with respect to the estimated changes in runoff in the Czech Republic

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F13%3A61072" target="_blank" >RIV/60460709:41330/13:61072 - isvavai.cz</a>

Alternative codes found

RIV/00020711:_____/13:00003824

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Evaluation of simple statistical downscaling methods for monthly regional climate model simulations with respect to the estimated changes in runoff in the Czech Republic

Original language description

An ensemble of fifteen regional climate model (RCM) simulations has been used to estimate the climate change impacts on runoff and several drought characteristics for 250 basins in the Czech Republic. The scenario series of precipitation and temperaturehave been derived with four simple statistical downscaling methods (SDMs): the delta change and bias correction method, both in two alternatives considering the changes/biases in the mean, and in the mean and variance. Bootstrap resampling has been usedto assess the effect of sampling variability and the differences in the estimated changes in runoff obtained by different SDMs were evaluated. Further simplification of the SDMs (spatial-average changes/biases and ensemble-average changes in precipitation and temperature) have been considered. It was shown, that given the spread between the projections of individual RCM simulations and the sampling variability, the differences in the estimated changes in mean runoff between the SDMs are

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DA - Hydrology and limnology

OECD FORD branch

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Project

<a href="/en/project/TA02020320" target="_blank" >TA02020320: Development of information and data support for design of adaptation measures and longterm planning of water resources considering the climate change effects</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

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

Name of the periodical

WATER RESOURCES MANAGEMENT

ISSN

0920-4741

e-ISSN

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Volume of the periodical

27

Issue of the periodical within the volume

15

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

19

Pages from-to

5261-5279

UT code for WoS article

000328338300016

EID of the result in the Scopus database

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