Next Article in Journal
Climate Change and Extreme Weather Drive the Declines of Saline Lakes: A Showcase of the Great Salt Lake
Next Article in Special Issue
Constraints to Vegetation Growth Reduced by Region-Specific Changes in Seasonal Climate
Previous Article in Journal
Effect of Extreme Climate on Topology of Railway Prestressed Concrete Sleepers
Previous Article in Special Issue
Analysis of Climate Change in the Caucasus Region: End of the 20th–Beginning of the 21st Century
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Climate 2019, 7(2), 18; https://doi.org/10.3390/cli7020018

Influence of Bias Correction Methods on Simulated Köppen−Geiger Climate Zones in Europe

1
Global Change Research Institute CAS, 60300 Brno, Czech Republic
2
Czech Hydrometeorological Institute, 143006 Prague, Czech Republic
*
Author to whom correspondence should be addressed.
Received: 7 December 2018 / Revised: 18 January 2019 / Accepted: 19 January 2019 / Published: 22 January 2019
(This article belongs to the Special Issue Climate Variability and Change in the 21th Century)
Full-Text   |   PDF [7095 KB, uploaded 11 February 2019]   |  
  |   Review Reports

Abstract

Our goal was to investigate the influence of bias correction methods on climate simulations over the European domain. We calculated the Köppen−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. View Full-Text
Keywords: Regional Climate Model; climate classification; bias correction methods; precipitation; temperature Regional Climate Model; climate classification; bias correction methods; precipitation; temperature
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Szabó-Takács, B.; Farda, A.; Skalák, P.; Meitner, J. Influence of Bias Correction Methods on Simulated Köppen−Geiger Climate Zones in Europe. Climate 2019, 7, 18.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Climate EISSN 2225-1154 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top