Search Results for author: Jakob Zscheischler

Found 5 papers, 1 papers with code

Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events

no code implementations26 Apr 2024 Olivier C. Pasche, Jonathan Wider, Zhongwei Zhang, Jakob Zscheischler, Sebastian Engelke

We find evidence that machine learning (ML) weather prediction models can locally achieve similar accuracy to HRES on record-shattering events such as the 2021 Pacific Northwest heatwave and even forecast the compound 2021 North American winter storm substantially better.

Weather Forecasting

Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learning

1 code implementation4 Dec 2022 Jordan Richards, Raphaël Huser, Emanuele Bevacqua, Jakob Zscheischler

Our results highlight that whilst VPD, air temperature, and drought significantly affect wildfire occurrence, only VPD affects wildfire spread.

Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks

no code implementations30 Oct 2021 Younes Boulaguiem, Jakob Zscheischler, Edoardo Vignotto, Karin van der Wiel, Sebastian Engelke

Here we combine GANs with extreme value theory (evtGAN) to model spatial dependencies in summer maxima of temperature and winter maxima in precipitation over a large part of western Europe.

Management

Distinguishing cause from effect using observational data: methods and benchmarks

no code implementations11 Dec 2014 Joris M. Mooij, Jonas Peters, Dominik Janzing, Jakob Zscheischler, Bernhard Schölkopf

We evaluate the performance of several bivariate causal discovery methods on these real-world benchmark data and in addition on artificially simulated data.

Causal Discovery Causal Inference +1

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