Machine learning-based evidence and attribution mapping of 100,000 climate impact studies - Code
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Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies
Callaghan, M., Schleussner, C.-F., Nath, S., Lejeune, Q., Knutson, T. R., Reichstein, M., Hansen, G., Theokritoff, E., Andrijevic, M., Brecha, R. J., et al. (2021) · Nature Climate Change · doi:10.1038/s41558-021-01168-6 · Cited by 251 · see citing works
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- Authors
- Callaghan, M.
- Corresponding author
- Callaghan, Max
- Venue
- Zenodo
- Publisher
- Zenodo
- Published
- 2021-08-29
- OpenAlex
- W6893738327
- Cited by
- 1
- References
- 0
- Citations by year
- 2021: 1
- Type
- software
- Language
- en
- Open access
- green
- zenodo.org
- Licence
- other-oa
- Locations
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Zenodo (CERN European Organization for Nuclear Research) (other-oa)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Environmental Impact
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Keywords
- climate impact studies, evidence mapping, machine learning, climate change impacts, evidence synthesis
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