"A Bayesian framework for emergent constraints: case studies of climate sensitivity with PMIP": Python statistical codes of the study
Creators
- 1. Department of Meteorology, Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
- 2. Blue Skies Research Ltd, Settle, United Kingdom
Description
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.
Any climate properties can replace the variables x or y, following the theory of emergent constraints.
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.
The original repository of the codes can be found at https://git.bolin.su.se/bolin/renoult-2020
Notes
Files
renoult-2020-1.0.0.zip
Files
(16.6 kB)
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