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Climate Dynamics · 2020 · Vol. 55 · Issue 5-6 · Springer
Seasonal forecasts of variables like near-surface temperature or precipitation are becoming increasingly important for a wide range of stakeholders. Due to the many possibilities of recalibrating, combining, and verifying ensemble forecasts, there are ambiguities of which methods are most suitable. To address this we compare approaches how to process and verify multi-model seasonal forecasts based on a scientific assessment pe...
Regional Environmental Change · 2020 · Vol. 20 · Issue 2 · Springer
Heat exposure constitutes a major threat for European workers, with significant impacts on the workers’ health and productivity. Climate projections over the next decades show a continuous and accelerated warming over Europe together with longer, more intense and more frequent heatwaves on regional and local scales. In this work, we assess the increased risk in future occupational heat stress levels using the wet bulb globe te...
International Journal of Climatology · 2019 · Vol. 39 · Issue 9 · Wiley
The influence of uncertainties in gridded observational reference data on regional climate model (RCM) evaluation is quantified on a pan‐European scale. Three different reference data sets are considered: the coarse‐resolved E‐OBS data set, a compilation of regional high‐resolution gridded products (HR) and the European‐scale MESAN reanalysis. Five high‐resolution ERA‐Interim‐driven RCM experiments of the EURO‐CORDEX initiativ...
International Journal of Climatology · 2017 · Vol. 37 · Issue 2 · Wiley
Climate information provided by global or regional climate models ( RCMs ) are often too coarse and prone to substantial biases for local assessments or use in impact models. Hence, statistical downscaling becomes necessary. For the Swiss National Climate Change Initiative ( CH2011 ), a delta‐change approach was used to provide daily climate scenarios at the local scale. Here, we analyse a Richardson‐type weather generator ( W...
International Journal of Climatology · 2016 · Vol. 36 · Issue 8 · Wiley
Ensembles of regional climate models are widely used to obtain climate change signals and to evaluate associated uncertainties over a specific region. These models are forced by general circulation models ( GCMs ) at their lateral boundaries. The most recent multi‐model ensembles projects – ENSEMBLES and CORDEX – rely on a limited set of about 10 GCMs per greenhouse gas emission scenario. It was shown previously that in partic...
International Journal of Climatology · 2015 · Vol. 35 · Issue 11 · Wiley
Fundamental changes in the hydrological cycle are to be expected in a future warmer climate. For Switzerland, recent climate change assessments based on the ENSEMBLES regional climate models project for the A1B emission scenario summer mean precipitation to significantly decrease by the end of this century, whereas winter mean precipitation tend to rise in Southern Switzerland. From an end‐user perspective, projected changes i...
Theoretical and Applied Climatology · 2015 · Vol. 120 · Issue 3-4 · Springer
Extreme value analyses of a large number of relatively short time series are in increasing demand in environmental sciences and design. Here, we present an automated procedure for the peaks-over-threshold (POT) approach to extreme value theory and use it to provide a climatology of extreme hourly precipitation in Switzerland. The POT approach fits the generalized Pareto distribution (GPD) to independent exceedances above some...
Climatic Change · 2014 · Vol. 123 · Issue 2 · Springer
Climate indices facilitate the interpretation of expected climate change impacts for many sectors in society, economy, and ecology. The new localized data set of climatic change signals for temperature and precipitation presented by Zubler et al. (Clim Change, 2013) is applied for an analysis of frequently used climate indices in Switzerland. The indices considered are: number of summer days and tropical nights, growing season...
International Journal of Climatology · 2012 · Vol. 32 · Issue 15 · Wiley
Regional projections of future climate with associated uncertainty estimates are increasingly being demanded. Generally, such scenarios rely on a finite number of model projections and are accompanied by considerable uncertainties which cannot be fully quantified. Consequently, probabilistic climate projections are conditioned on several subjective assumptions which can be treated in a Bayesian framework. In this study, a rece...
International Journal of Climatology · 2009 · Vol. 29 · Issue 3 · Wiley
Accurate assessment of the magnitude and frequency of extreme wind speed is of fundamental importance for many safety, engineering and reinsurance applications. We utilize the spatial and temporal consistency of the European Centre for Medium Range Forecasts ERA‐40 reanalysis data to determine the frequency of extreme winds associated with wind storms over the eastern North Atlantic and Europe. Two parameters are investigated:...