Jakob Zscheischler

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Professor

Technische Universität Dresden

Germany

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About

Jakob Zscheischler is a Professor at Technische Universität Dresden, Germany. His research focuses on climate extremes, including drought-heat phenomena, flood dynamics, and vegetation responses to climate variability. He has contributed extensively to the understanding of compound events within climate and socio-ecological systems and explores the implications of anthropogenic influences on extreme weather events.

Recent Grants

Grant: Close

Risk assessment of critical ecological thresholds in Amazonia and Cerrado

Open Date: 2020-12-01

Close Date: 2022-11-01

Grant: Close

Helmholtz Young Investigator Group

Open Date: 2020-10-01

Close Date: 2026-09-01

Grant: Close

Machine learning for detecting compound climate drivers of extreme impacts

Open Date: 2020-05-01

Close Date: 2022-10-31

Grant: Close

New metrics for constraining multiple drivers of hazard and compound hazards

Open Date: 2018-11-01

Close Date: 2022-10-31

Articles (21)

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Collaborators (17)

Daniel Mitchell

University of Bristol

UNITED KINGDOM

Jakob Zscheischler

Research Interests

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Contact this professor

About

Recent Grants

Articles (21)

Future increase in compound soil drought-heat extremes exacerbated by vegetation greening (vol 15, 10875, 2024)

Reclassifying historical disasters

Intensification and Poleward Shift of Compound Wind and Precipitation Extremes in a Warmer Climate

How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences

Compound events in the coupled climate and socio-ecological system

Broadening the scope of anthropogenic influence in extreme event attribution

An increase in the spatial extent of European floods over the last 70 years

Winter climate preconditioning of summer vegetation extremes in the Northern Hemisphere

Technical Note: The divide and measure nonconformity - how metrics can mislead when we evaluate on different data partitions

Heat, humidity and health impacts: how causal diagrams can help tell the complex story

Projected changes in extreme daily precipitation linked to changes in precipitable water and vertical velocity in CMIP6 models

Optimal heat stress metric for modelling heat‐related mortality varies from country to country

Cross-validation strategy impacts the performance and interpretation of machine learning models

Hydroclimatic extremes contribute to asymmetric trends in ecosystem productivity loss

Large anomalies in future extreme precipitation sensitivity driven by atmospheric dynamics

Accounting for systemic complexity in the assessment of climate risk

Extreme rainfall reduces one-twelfth of China’s rice yield over the last two decades

A joint framework for studying compound ecoclimatic events

Advancing research on compound weather and climate events via large ensemble model simulations

Large Variability in Simulated Response of Vegetation Composition and Carbon Dynamics to Variations in Drought‐Heat Occurrence

Global variations in critical drought thresholds that impact vegetation

Collaborators (17)

Daniel Mitchell

Niilo Ryti

Christopher J. White

Eunice Lo

Edoardo Patelli

Alexander Brenning

Miguel Mahecha

Shijie Jiang

Christoph Müller

Bart van den Hurk

Guo Yu

Laurent Li

Malcolm Mistry

Louise Slater

Philip Ward

John Douglas

Mandy Barbara Freund

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