Jakob Zscheischler

SNF Ambizione Fellow at Climate and Environmental Physics, Physics Institute, University of Bern, Switzerland

Member of the Oeschger Centre for Climate Change Research

Chair of European COST Action DAMOCLES (Understanding and modeling compound climate and weather events)

Key words:
Compound events, Climate extremes, Carbon cycle, Land-atmosphere dynamics

Contact

Climate and Environmental Physics
Physics Institute, University of Bern
Sidlerstrasse 5
CH-3012 Bern
Switzerland
Tel.: +41 31 631 42 75
Email: zscheischler-at-climate.unibe.ch
          Oeschger Centre for Climate Change Research (OCCR)
University of Bern
Falkenplatz 16
CH-3012 Bern
Switzerland

ORCID iD iconorcid.org/0000-0001-6045-1629

     


About me

I'm an Earth system scientist with a background in mathematics, biogeochemistry and climate science. I use sophisticated statistical approaches to infer new insights from a variety of datasets, including remotely sensed data, station measurements, reanalysis data, and model output from climate, vegetation and other impact models. Currently my research focuses on better understanding compound events. Compound events refer to the combination of climatic drivers that contribute to environmental and societal risk. They can be embedded in the well-established risk framework from the IPCC (see figure below). See also a recent blog post to call for a cross-disciplinary effort to advance our knowledge on compound events and improve future risk projections. This is the goal of the European COST Action DAMOCLES (Understanding and modeling compound climate and weather events, CA17109), which brings together climate scientists, engineers, social scientists, impact modellers and decision-makers and coordinates national research projects on compound events. In my Ambizione project at University of Bern, we will develop new metrics to evaulate physical models with respect to compound events. Elisabeth Tschumi works in my group as a PhD student and studies the effects of different drought-heat signatures on carbon dynamics. Since September 2019 I'm co-supervising the PhD prject of Natacha Legrix on compound events in the ocean, together with Thomas Frölicher.

Currently I'm a guest editor for Weather and Climate Extremes for a Special Issue on Compound Weather and Climate Events.

Extended risk framework. Multiple climatic drivers cause one or multiple hazards leading to societal and environmental risk. The climate drivers (which may vary from local-scale weather to large-scale climate modes, represented by yellow circles) and/or hazards may be mutually dependent. Non- climatic drivers related to vulnerability and exposure may also contribute to risk. (Figure from Zscheischler et al. (2018) Future climate risk from compound events, Nature Climate Change)


News

09-11 October 2019 Session Chair, “The challenge of responding to compound events” at Herrenhausen Conference, Herrenhausen Palace, Hannover, Germany
23 Sep - 4 Oct 2019 Organizer and lecturer, Training School on Statistical Modeling of Compound Events, Lake Como, Italy
1 July 2019 Deadline for 3rd call for the application of Short Term Scientific Missions (STSMs) within the COST Action DAMOCLES. See requirements here.
13 June 2019 Talk at the Workshop on Causality and Extremes, EPFL, Lausanne, Switzerland
10-12 June 2019 Panel speaker at the Fourth Northern European Conference on Emergency and Disaster Studies (NEEDS), Uppsala, Sweden
29-31 May 2019 Opening keynote at the Workshop on Correlated Extremes, Columbia University, New York City, USA. All talks were recorded and are available at the workshop webpage.
24-26 April 2019 Co-organizer of the Workshop on physical modeling supporting a “storyline approach”, Oslo, Norway
07-12 April 2019 Co-convener at EGU session Understanding and modelling compound climate and weather events and their impacts, Vienna, Austria

Recent research

New paper in Nature Communications: Inferring causation from time series in Earth system sciences

The heart of the scientific enterprise is a rational effort to understand the causes behind the phenomena we observe. In large-scale complex dynamical systems such as the Earth system, real experiments are rarely feasible. However, a rapidly increasing amount of observational and simulated data opens up the use of novel data-driven causal methods beyond the commonly adopted correlation techniques. Here, we give an overview of causal inference frameworks and identify promising generic application cases common in Earth system sciences and beyond.

New paper in Earth's Future: Concurrent 2018 hot extremes across Northern Hemisphere due to human‐induced climate change

Extremely high temperatures pose an immediate threat to humans and ecosystems. The 2018 spring‐to‐summer season was characterized by concurrent heatwaves in many areas in the northern mid-latitudes. We show that it is virtually certain that the 2018 North‐Hemispheric concurrent heat events would not have occurred without human‐induced climate change. Coverage: CarbonBrief, ETH News

New paper in Nature Geoscience: Drought impacts on terrestrial primary production underestimated by satellite monitoring

We identify a common bias in different state-of-the-art satellite-based estimates of terrestrial photosynthesis, and found that this bias is closely related to droughts and their apparent impact on the functioning of vegetation. In other words, common satellite-based vegetation monitoring methods underestimate the impact of droughts. A press relase put together by first author Beni Stocker is available here.

New paper in Earth System Dynamics: The effect of univariate bias adjustment on multivariate hazard estimates

Most climate models have biases in basic climatic variables throughout the world. Adjusting these biases is necessary for modeling climate impacts. Yet widely used bias adjustment methods do not adjust the dependence structure between variables. Here we demonstrate that those methods do not work well for multivariate impacts. We illustrate this problem using fire risk and heat stress as impact indicators. Using an approach that adjusts not only biases in the individual climate variables but also biases in the correlation between them can resolve these problems.

New paper in Nature: Sensitivity of atmospheric CO2 growth rate to observed changes in terrestrial water storage

Land ecosystems absorb a large amount of anthropogenic carbon dioxide emissions. Year-to-year variations in the atmospheric CO2 growth rate are mostly due to fluctuating carbon uptake by land ecosystems. A better understanding of these fluctuations will help to make better predictions of future carbon uptake. We use recent observations of terrestrial water storage changes derived from satellite gravimetry to show that the CO2 growth rate is strongly sensitive to observed changes in terrestrial water storage.

Perspective paper in Nature Climate Change: Future climate risk from compound events

Floods, wildfires, heatwaves and droughts often result from a combination of interacting physical processes across multiple spatial and temporal scales. We introduce the concept of ‘compound events’, referring to the combination of processes (climate drivers and hazards) that lead to a significant impact. Improving our understanding of high-impact events requires a better understanding of compound events and needs to bring together climate scientists, engineers, social scientists, impact modellers and decision-makers.

Publications

Full list of publications available at ORCID iD iconorcid.org/0000-0001-6045-1629 and


Curriculum Vitae

Since 11/2018 Ambizione Fellow at the Climate and Environmental Physics, Physics Institute, University of Bern.
Member of the Oeschger Center for Climate Change Research
2/2015 - 10/2018 Postdoc at the Institute for Atmospheric and Climate Science at ETH Zurich
6/2014 - 12/2014 Postdoc at Max Planck Insitute for Biogeochemistry, Jena, Germany
2013 Visiting Scientist at Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
10/2010 - 6/2014 PhD student at Max Planck Insitute for Biogeochemistry (Jena, Germany) and Max Planck Institute for Intelligent Systems (Tübingen, Germany)
2010 Diploma in Mathematics