How Can AI Improve Early Warnings for Climate Risks?

Markus Reichstein
Profile Picture of - Markus Reichstein

Markus Reichstein

Abstract information

In this video, MARKUS REICHSTEIN explores how artificial intelligence can improve early warning systems for climate-related hazards. Starting with a curiosity-driven approach to predicting landscapes from climate data, his research evolved into understanding how ecosystems respond to weather patterns and how these responses can be forecasted. Reichstein and his team analyze the full early warning chain - from observation to decision-making - and identify weak links, especially in impact forecasting and communication. Using AI, they aim to enhance localized predictions and generate intuitive warnings, such as visualizations of expected damage. The study supports the UN’s “Early Warnings for All” initiative and highlights the dual potential of AI to drive both fundamental research and real-world societal impact.

DOI:

https://doi.org/10.21036/LTPUB101197

Researcher

Markus Reichstein has been director at the Max-Planck-Institute for Biogeochemistry since 2012, heading the Department of Biogeochemical Integration. Additionally Reichstein is Prof. for Global Ecology at the Friedrich-Schiller University Jena and founding director of the ELLIS Unit Jena and the ELLIS program "Machine learning for Earth and Climate science". His main research interests revolve around questions of how ecosystems respond to climate variability and extremes, with a strong emphasis on integration of machine learning and system modelling to solve these questions. Since 2014, Reichstein has been a member of the Climate Panel for the German State of Thuringia. A previous winner Microsoft’s Jim Gray seed award for excellence in e-science, Reichstein was the 2020 recipient of Germany’s most generously endowed research grant, the German Research Foundation’s (DRG) Gottfried Wilhelm Leibniz Prize.

Institution information

Max Planck Institute for Biogeochemistry

Located in Jena, this research center investigates how living organisms and physical processes interact to shape the Earth’s climate and environment. Since its start in 1997, it has become a central authority on the global carbon, water, and nutrient cycles, specifically focusing on how these systems respond to human impact.

The facility is famous for managing the Zotino Tall Tower Observatory in Siberia, a massive mast used to measure greenhouse gases across the northern hemisphere. Researchers here use a mix of field experiments and complex computer modeling to predict future environmental shifts. Currently, the institute is heavily involved in tracking how rising temperatures affect the ability of forests and soils to store carbon dioxide on a global scale.

Cover Photo of -

Original Publication

Early warning of complex climate risk with integrated artificial intelligence

Markus Reichstein,

Vitus Benson,

Jan Blunk,

Gustau Camps‐Valls,

Felix Creutzig,

Published in

Citation

Markus Reichstein, 

Latest Thinking, 

How Can AI Improve Early Warnings for Climate Risks?, 

https://doi.org/10.21036/LTPUB101197, 

Credits:

© Markus Reichstein 

and Latest Thinking

This work is licensed under CC-BY 4.0