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Christoph Frei

Researcher at MeteoSwiss

Publications -  64
Citations -  11352

Christoph Frei is an academic researcher from MeteoSwiss. The author has contributed to research in topics: Precipitation & Climate model. The author has an hindex of 36, co-authored 61 publications receiving 10391 citations. Previous affiliations of Christoph Frei include École Polytechnique Fédérale de Lausanne & ETH Zurich.

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The role of increasing temperature variability in European summer heatwaves

TL;DR: It is found that an event like that of summer 2003 is statistically extremely unlikely, even when the observed warming is taken into account, and it is proposed that a regime with an increased variability of temperatures (in addition to increases in mean temperature) may be able to account for summer 2003.
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Future extreme events in European climate: an exploration of regional climate model projections

TL;DR: In this article, a variety of diagnostic methods are used to determine how heat waves, heavy precipitation, drought, wind storms, and storm surges change between present (1961-90) and future (2071-2100) climate on the basis of regional climate model simulations produced by the PRUDENCE project.
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A precipitation climatology of the alps from high-resolution rain-gauge observations

TL;DR: A new precipitation climatology covering the European Alps is presented in this article, which is based on observations at one of the densest rain-gauge networks over complex topography world-wide, embracing more than 6600 stations from the high-resolution networks of the Alpine countries.
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Future change of precipitation extremes in Europe: Intercomparison of scenarios from regional climate models

TL;DR: In this article, an analysis of the climate of precipitation extremes as simulated by six European regional climate models (RCMs) is undertaken in order to describe/quantify future changes and to examine/interpret differences between models.
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Downscaling from GCM precipitation: a benchmark for dynamical and statistical downscaling methods

TL;DR: In this paper, a precipitation downscaling method using precipitation from a general circulation model (GCM) as predictor is presented, which extends a previous method from monthly to daily temporal resolution.