Tipping Elements in the Earth's Climate System

Exploring the Use of Earth Observations to Improve Understanding and Monitoring Capability
Erscheinungsjahr 2025
ISBN: 978-94-024-2348-8
Verlag: Springer

Buch, Englisch, Band 94, 244 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 545 g

Reihe: Space Sciences Series of ISSI

This book addresses the growing scientific concern surrounding climate tipping points—abrupt and potentially irreversible shifts in the Earth system that may occur even under moderate global warming. It explores key examples, including the melting of the Greenland and West Antarctic ice sheets, disruption of the Atlantic Meridional Overturning Circulation, and greenhouse gas release from thawing permafrost. Over the past three decades, Earth observation satellites have become vital for detecting and tracking such changes by measuring essential climate variables. Building on insights from the 2022 ISSI Workshop in Bern, the volume presents current perspectives on how satellite data can advance the science of tipping points and support efforts to assess and manage associated risks.

Reprinted from  Special Issue:  , Vol. 46, Issue 2, 2025.

Zielgruppe

Research

Autoren/Hrsg.

Hebden, Sophie

Rast, Michael

Wel, Narelle van der

Liddy, Hannah

Wood, Richard

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Wirtschaftswissenschaften Betriebswirtschaft Management
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Geowissenschaften Geologie Meteorologie, Klimatologie

Inhaltsverzeichnis

International Space Science Institute (ISSI) Workshop on Tipping Elements in the Earth’s Climate System.- Monitoring the Multiple Stages of Climate Tipping Systems from Space: Do the GCOS Essential Climate Variables Meet the Needs?.- Ecosystem Resilience Monitoring and Early Warning Using Earth Observation Data: Challenges and Outlook.- Permafrost and Freshwater Systems in the Arctic as Tipping Elements of the Climate System.- Opportunities for Earth Observation to Inform Risk Management for Ocean Tipping Points.- Extreme Events Contributing to Tipping Elements and Tipping Points.- Reflecting on the Science of Climate Tipping Points to Inform and Assist Policy Making and Address the Risks they Pose to Society.

Über Autor(innen)

Sophie Hebden is a Climate Applications Scientist at the European Space Agency (ESA), specializing in land surface processes and the terrestrial carbon and water cycles. She leads a portfolio of research and development projects under ESA’s Climate Change Initiative, producing satellite-based climate data records at the global scale. Previously, she worked with Future Earth, where she coordinated Earth observation–focused projects and workshops. Since 2019, she has served as a coordinating author of the annual 10 New Insights in Climate Science report. Sophie holds a Ph.D. in Space Physics from the University of Leicester (UK) and a Master’s degree in Science Communication from Imperial College London (UK).
Michael Rast studied geology and geoscientific remote sensing at Ludwig-Maximilians University in Munich. He later joined ESA, where he helped define mission and science requirements for Earth observation satellites. After spending a research year at NASA’s Jet Propulsion Laboratory, he earned a doctorate in imaging spectroscopy from space. Following a secondment to the GEO Secretariat in Geneva as a Senior Programme Officer, he led the Science Strategy Office at ESA-ESRIN in Frascati, Italy. In 2017, he became Senior Advisor to the Director of Earth Observation Programmes. Since retiring from ESA in 2022, he has served as Director of Earth Sciences at the International Space Science Institute (ISSI) in Bern, Switzerland. Michael Rast is also a Professor of Terrestrial Remote Sensing in the Department of Geography at Ludwig-Maximilians University.
Narelle van der Wel is a Science and Communications Officer at the World Climate Research Programme (WCRP) Secretariat, hosted by the World Meteorological Organization (WMO) in Geneva. She works across several areas including strategic planning and implementation, science coordination, and communication and outreach. Narelle earned a Ph.D. in Polar Studies (Glaciology) from the Scott Polar Research Institute, University of Cambridge (UK), where she focused on the numerical modeling of Antarctic ice streams. She later worked as a Postdoctoral Research Assistant at the same institute, modeling glacier flow in Greenland. In 2018, she completed a Postgraduate Certificate in Climate Change Management at the University of Edinburgh.
Hannah Liddy is the Executive Director of the Analysis, Integration, and Modeling of the Earth System (AIMES), a global research network of Future Earth, hosted at the Center for Climate Systems Research at Columbia University and the NASA Goddard Institute for Space Studies. Through AIMES, She leads interdisciplinary initiatives that integrate climate, ecosystem, and social systems research. Her work has contributed to syntheses of past abrupt climate change events, climate tipping points, and cascading impacts in the Earth system. She has also helped design model intercomparison experiments assessing the risks of crossing critical Earth system thresholds, using both coupled Earth system models and domain-specific tools. Her current research explores tipping dynamics under zero-emissions scenarios and their associated risks. She holds a Ph.D. in Geological Sciences from the University of Southern California and has published widely on carbon cycling, tipping points, and Earth system interactions.
Richard Wood leads the Climate, Cryosphere and Oceans group in the Met Office Hadley Centre. He was a founder member of the Met Office Hadley Centre in 1990. He trained as an applied mathematician, and was a member of the original teams that developed the ocean component of the Unified Model, and later the Met Office climate models Met Office climate prediction model: HadCM2 and Met Office climate prediction model: HadCM3.