ESD Reviews

Climate feedbacks in the Earth system and prospects for their evaluation

Review (2019)
Authors

Christoph Heinze (NORCE Norwegian Research Centre AS, University of Bergen and Bjerknes Centre for Climate Research)

Veronika Eyring (Deutsches Zentrum für Luft- und Raumfahrt (DLR), University of Bremen)

Pierre Friedlingstein (University of Exeter)

Colin Jones (University of Leeds)

Yves Balkanski (Université de Versailles St-Quentin)

William Collins (University of Reading)

Thierry Fichefet (Université Catholique de Louvain)

Shuang Gao (Institute of Marine Research, University of Bergen and Bjerknes Centre for Climate Research)

AP Siebesma (Royal Netherlands Meteorological Institute (KNMI), TU Delft - Atmospheric Remote Sensing)

G.B. More authors (External organisation)

Research Group
Atmospheric Remote Sensing
Copyright
© 2019 Christoph Heinze, Veronika Eyring, Pierre Friedlingstein, Colin Jones, Yves Balkanski, William Collins, Thierry Fichefet, Shuang Gao, A.P. Siebesma, More Authors
To reference this document use:
https://doi.org/10.5194/esd-10-379-2019
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Christoph Heinze, Veronika Eyring, Pierre Friedlingstein, Colin Jones, Yves Balkanski, William Collins, Thierry Fichefet, Shuang Gao, A.P. Siebesma, More Authors
Research Group
Atmospheric Remote Sensing
Issue number
3
Volume number
10
Pages (from-to)
379-452
DOI:
https://doi.org/10.5194/esd-10-379-2019
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Abstract

Earth system models (ESMs) are key tools for providing climate projections under different scenarios of human-induced forcing. ESMs include a large number of additional processes and feedbacks such as biogeochemical cycles that traditional physical climate models do not consider. Yet, some processes such as cloud dynamics and ecosystem functional response still have fairly high uncertainties. In this article, we present an overview of climate feedbacks for Earth system components currently included in state-of-the-art ESMs and discuss the challenges to evaluate and quantify them. Uncertainties in feedback quantification arise from the interdependencies of biogeochemical matter fluxes and physical properties, the spatial and temporal heterogeneity of processes, and the lack of long-term continuous observational data to constrain them. We present an outlook for promising approaches that can help to quantify and to constrain the large number of feedbacks in ESMs in the future. The target group for this article includes generalists with a background in natural sciences and an interest in climate change as well as experts working in interdisciplinary climate research (researchers, lecturers, and students). This study updates and significantly expands upon the last comprehensive overview of climate feedbacks in ESMs, which was produced 15 years ago (NRC, 2003).