3611069
doi
10.5281/zenodo.3611069
oai:zenodo.org:3611069
user-eu
James Douglas Annan
Blue Skies Research Ltd, Settle, United Kingdom
"A Bayesian framework for emergent constraints: case studies of climate sensitivity with PMIP": Python statistical codes of the study
Martin Renoult
Department of Meteorology, Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Emergent constraints
Climate sensitivity
Bayesian statistics
Paleoclimates
<p>These 4 codes can be ran to estimate climate sensitivity by using the tropical temperature of the models participating in the Paleoclimate Modelling Intercomparison Project (PMIP) and simulating either the Last Glacial Maximum or the mid-Pliocene Warm Period.</p>
<p>Any climate properties can replace the variables x or y, following the theory of emergent constraints.</p>
<p>A detailed description of each method can be found in: M. Renoult, J.D. Annan, J.C. Hargreaves, N. Sagoo, C. Flynn, M.-L. Kapsch, U. Mikolajewicz, R. Ohgaito, T. Mauritsen, In Review. A Bayesian framework for emergent constraints: case studies of climate sensitivity with PMIP. Climate of the Past.</p>
<p>The original repository of the codes can be found at https://git.bolin.su.se/bolin/renoult-2020</p>
This result is part of a project that has received funding from the European Research Council (ERC) (Grant agreement No.770765) under the European Union's Horizon 2020 research and innovation program (Grant agreement No.820829).
Zenodo
2020-01-15
info:eu-repo/semantics/other
3611068
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award_title=Reining in the upper bound on Earth’s Climate Sensitivities; award_number=770765; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/770765; funder_id=00k4n6c32; funder_name=European Commission;
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