Influence of Bias Correction Methods on Simulated Koppen-Geiger Climate Zones in Europe

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F19%3A00504664" target="_blank" >RIV/86652079:_____/19:00504664 - isvavai.cz</a>

Result on the web

<a href="https://www.researchgate.net/publication/330543484_Influence_of_Bias_Correction_Methods_on_Simulated_Koppen-Geiger_Climate_Zones_in_Europe" target="_blank" >https://www.researchgate.net/publication/330543484_Influence_of_Bias_Correction_Methods_on_Simulated_Koppen-Geiger_Climate_Zones_in_Europe</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/cli7020018" target="_blank" >10.3390/cli7020018</a>

Result language

angličtina

Original language name

Influence of Bias Correction Methods on Simulated Koppen-Geiger Climate Zones in Europe

Original language description

Our goal was to investigate the influence of bias correction methods on climate simulations over the European domain. We calculated the Koppen-Geiger climate classification using five individual regional climate models (RCM) of the ENSEMBLES project in the European domain during the period 1961-1990. The simulated precipitation and temperature data were corrected using the European daily high-resolution gridded dataset (E-OBS) observed data by five methods: (i) the empirical quantile mapping of precipitation and temperature, (ii) the quantile mapping of precipitation and temperature based on gamma and Generalized Pareto Distribution of precipitation, (iii) local intensity scaling, (iv) the power transformation of precipitation and (v) the variance scaling of temperature bias corrections. The individual bias correction methods had a significant effect on the climate classification, but the degree of this effect varied among the RCMs. Our results on the performance of bias correction differ from previous results described in the literature where these corrections were implemented over river catchments. We conclude that the effect of bias correction may depend on the region of model domain. These results suggest that distribution free bias correction approaches are the most suitable for large domain sizes such as the pan-European domain.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

<a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>

Continuities

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

Publication year

2019

Confidentiality

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

Name of the periodical

Climate

ISSN

2225-1154

e-ISSN

—

Volume of the periodical

7

Issue of the periodical within the volume

2

Country of publishing house

CH - SWITZERLAND

Number of pages

24

Pages from-to

18

UT code for WoS article

000460705300001

EID of the result in the Scopus database

2-s2.0-85062196279