Articles | Volume 6, issue 2
https://doi.org/10.5194/esd-6-435-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/esd-6-435-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Decomposing uncertainties in the future terrestrial carbon budget associated with emission scenarios, climate projections, and ecosystem simulations using the ISI-MIP results
K. Nishina
CORRESPONDING AUTHOR
National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, Ibaraki, Japan
National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, Ibaraki, Japan
P. Falloon
Met Office Hadley Centre, FitzRoy Road, Exeter, Devon, EX1 3PB, UK
A. D. Friend
Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN, UK
D. J. Beerling
Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
Laboratoire des Sciences du Climat et de l'Environment, Joint Unit of CEA-CNRS-UVSQ, Gif-sur-Yvette, France
D. B. Clark
Centre for Ecology and Hydrology, Wallingford, OX10 8BB, UK
R. Kahana
Met Office Hadley Centre, FitzRoy Road, Exeter, Devon, EX1 3PB, UK
National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, Ibaraki, Japan
Institute of Applied Energy, 105-0003 Tokyo, Japan
W. Lucht
Potsdam Institute for Climate Impact Research, Telegraphenberg A 31, 14473, Potsdam, Germany
M. Lomas
Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
R. Pavlick
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, 07745 Jena, Germany
S. Schaphoff
Potsdam Institute for Climate Impact Research, Telegraphenberg A 31, 14473, Potsdam, Germany
L. Warszawaski
Potsdam Institute for Climate Impact Research, Telegraphenberg A 31, 14473, Potsdam, Germany
T. Yokohata
National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba, Ibaraki, Japan
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- Towards an increasingly biased view on Arctic change E. López-Blanco et al. 10.1038/s41558-023-01903-1
- Stand‐scale climate change impacts on forests over large areas: transient responses and projection uncertainties N. Huber et al. 10.1002/eap.2313
- How random are predictions of forest growth? The importance of weather variability J. Horemans et al. 10.1139/cjfr-2019-0366
- Evaluating two land surface models for Brazil using a full carbon cycle benchmark with uncertainties A. Caen et al. 10.1002/cli2.10
- Sources of Uncertainty in Modeled Land Carbon Storage within and across Three MIPs: Diagnosis with Three New Techniques S. Zhou et al. 10.1175/JCLI-D-17-0357.1
- Importance of climate uncertainty for projections of forest ecosystem services R. Snell et al. 10.1007/s10113-018-1337-3
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- Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change H. Lotze et al. 10.1073/pnas.1900194116
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- Pronounced and unavoidable impacts of low-end global warming on northern high-latitude land ecosystems A. Ito et al. 10.1088/1748-9326/ab702b
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Latest update: 21 Nov 2024
Short summary
Our study focused on uncertainties in terrestrial C cycling under newly developed scenarios with CMIP5. This study presents first results for examining relative uncertainties of projected terrestrial C cycling in multiple projection components. Only using our new model inter-comparison project data sets enables us to evaluate various uncertainty sources in projection periods. The information on relative uncertainties is useful for climate science and climate change impact evaluation.
Our study focused on uncertainties in terrestrial C cycling under newly developed scenarios with...
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