Software Open Access
"A Bayesian framework for emergent constraints: case studies of climate sensitivity with PMIP": Python statistical codes of the study
Martin Renoult; James Douglas Annan
BibTeX Export
@software{martin_renoult_2020_3611069,
author = {Martin Renoult and
James Douglas Annan},
title = {{"A Bayesian framework for emergent constraints:
case studies of climate sensitivity with PMIP":
Python statistical codes of the study}},
month = jan,
year = 2020,
note = {{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).}},
publisher = {Zenodo},
version = {1.0.0},
doi = {10.5281/zenodo.3611069},
url = {https://doi.org/10.5281/zenodo.3611069}
}
127
16
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 127 | 78 |
| Downloads | 16 | 11 |
| Data volume | 268.7 kB | 183.1 kB |
| Unique views | 97 | 64 |
| Unique downloads | 15 | 10 |
Indexed in
- Publication date:
- January 15, 2020
- DOI:
-
- Keyword(s):
- Emergent constraints Climate sensitivity Bayesian statistics Paleoclimates
- Grants:
-
European Commission:
- highECS - Reining in the upper bound on Earth’s Climate Sensitivities (770765)
- License (for files):
- Creative Commons Attribution 4.0 International