Inter-comparison of statistical downscaling methods for projection of extreme flow indices across Europe

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F16%3A71207" target="_blank" >RIV/60460709:41330/16:71207 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.jhydrol.2016.08.033" target="_blank" >http://dx.doi.org/10.1016/j.jhydrol.2016.08.033</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jhydrol.2016.08.033" target="_blank" >10.1016/j.jhydrol.2016.08.033</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Inter-comparison of statistical downscaling methods for projection of extreme flow indices across Europe

Popis výsledku v původním jazyce

The effect of methods of statistical downscaling of daily precipitation on changes in extreme flow indices under a plausible future climate change scenario was investigated in 11 catchments selected from 9 countries in different parts of Europe. The catchments vary from 67 to 6171 km2 in size and cover different climate zones. 15 regional climate model outputs and 8 different statistical downscaling methods, which are broadly categorized as change factor and bias correction based methods, were used for the comparative analyses. Different hydrological models were implemented in different catchments to simulate daily runoff. A set of flood indices were derived from daily flows and their changes have been evaluated by comparing their values derived from simulations corresponding to the current and future climate. Most of the implemented downscaling methods project an increase in the extreme flow indices in most of the catchments. The catchments where the extremes are expected to increase have a rainfall

Název v anglickém jazyce

Inter-comparison of statistical downscaling methods for projection of extreme flow indices across Europe

Popis výsledku anglicky

The effect of methods of statistical downscaling of daily precipitation on changes in extreme flow indices under a plausible future climate change scenario was investigated in 11 catchments selected from 9 countries in different parts of Europe. The catchments vary from 67 to 6171 km2 in size and cover different climate zones. 15 regional climate model outputs and 8 different statistical downscaling methods, which are broadly categorized as change factor and bias correction based methods, were used for the comparative analyses. Different hydrological models were implemented in different catchments to simulate daily runoff. A set of flood indices were derived from daily flows and their changes have been evaluated by comparing their values derived from simulations corresponding to the current and future climate. Most of the implemented downscaling methods project an increase in the extreme flow indices in most of the catchments. The catchments where the extremes are expected to increase have a rainfall

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DA - Hydrologie a limnologie

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Journal of Hydrology

ISSN

0022-1694

e-ISSN

—

Svazek periodika

2016

Číslo periodika v rámci svazku

541

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

1273-1286

Kód UT WoS článku

000386410400047

EID výsledku v databázi Scopus

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