Status: this preprint has been withdrawn by the authors.
Analysing CMIP5 EURO-CORDEX models in their ability to produce south foehn and the resulting climate change impact on frequency and spatial extent over western Austria
Philipp Maier,Fabian Lehner,Tatiana Klisho,and Herbert Formayer
Abstract. Foehn has an impact on various climatological variables like temperature and humidity in the highly populated valleys of western Austria. With increasing global warming, the question arises as to how well climate projections are able to produce conditions for foehn and how their occurrence changes with climate change. This study uses six XGBoost models to classify south foehn in EURO-CORDEX climate models of CMIP5 generation for two spatial extents (localised and widespread) and three regions Vorarlberg, Tiroler Oberland and Tiroler Unterland in western Austria, located in the Eastern Alps. For each region, a model for distinguishing foehn from no foehn and one to distinguish the foehn event's spatial extent is trained. Several meteorological inputs on pressure levels from ERA5 reanalysis in combination with training data derived from semi-automated weather station data with Objective Foehn Classification are used in the training process. Weights for individual models are derived by analysing the performance of EURO-CORDEX models in their ability to produce south foehn and considering their independence from each other. The performance of individual EURO-CORDEX models is hereby evaluated by analysing their biases for annual occurrence, seasonal accuracy and inter-annual variability in comparison to the training data.The training data confirm other studies by showing that the three selected regions behave differently in their south foehn occurrence and in the portion of widespread events. Bias analysis shows a pronounced negative bias in annual foehn occurrence for models driven by the general circulation model ICHEC-EC-EARTH or MOHC-HadGEM2-ES. EURO-CORDEX models perform similar in capturing south foehn's seasonality, but highly vary in reproducing the inter-annual variability in the historical period. A weighted trend analysis for future behaviour of south foehn in the 21st century shows a slight decrease in south foehn frequency under increasing warming conditions in the Tirol regions but an increase in widespread events in all regions, most pronounced in Vorarlberg at the strongest warming. Further, a shift in foehn seasonality can be observed in all regions with a higher frequency in the spring months and a lower frequency from July to October, also depending on the climate change signal.
This preprint has been withdrawn.
Received: 05 Mar 2024 – Discussion started: 25 Mar 2024
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We first want to thank the editor and referees for taking the time to judge our work and contribute in its growth. Every comment is greatly appreciated and will greatly improve the manuscript. The reviews helped us in noticing shortcomings in our current revision and we are positive, that we can address all comments in a satisfying way to make our manuscript fit for publication within a few weeks.
General remarks as well as responses to all comments of referee 1 and referee 2 can be found in the attached pdf.
We first want to thank the editor and referees for taking the time to judge our work and contribute in its growth. Every comment is greatly appreciated and will greatly improve the manuscript. The reviews helped us in noticing shortcomings in our current revision and we are positive, that we can address all comments in a satisfying way to make our manuscript fit for publication within a few weeks.
General remarks as well as responses to all comments of referee 1 and referee 2 can be found in the attached pdf.
Philipp Maier,Fabian Lehner,Tatiana Klisho,and Herbert Formayer
Data sets
Eleven years of training data for south foehn for three regions of Western AustriaPhilipp Maier, Fabian Lehner, Tatiana Klisho, and Herbert Formayer https://doi.org/10.5281/zenodo.10478610
Philipp Maier,Fabian Lehner,Tatiana Klisho,and Herbert Formayer
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In this article, we analyse the ability of climate models to produce south foehn in the valleys of western Austria using a machine learning technique and assess, how well they capture different aspects of annual foehn occurrence. The performance of these models is largely influenced by the underlying global climate model. After weighting the models based on their performance, we found that foehn occurrence slightly decreases with global warming, but events tend to become more widespread.
In this article, we analyse the ability of climate models to produce south foehn in the valleys...
Review in attached pdf.