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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

<a href="/cs/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 - Rozvoj Centra pro studium dopadů globální změny klimatu</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Climate

ISSN

2225-1154

e-ISSN

—

Svazek periodika

7

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

24

Strana od-do

18

Kód UT WoS článku

000460705300001

EID výsledku v databázi Scopus

2-s2.0-85062196279