Aruhasi/Observed_fingerprint: Observed_fingerprint
Abstract
This release (v1.0.0) contains the exact version of the code used to produce all figures and analyses presented in: Aru, H., et al. (2026). Observed fingerprint of global warming exposes model biases in regional climate attribution. This version includes: OBS-LPS OLS regression framework for separating externally forced and internal SAT components Segmented trend calculation (10–73 year windows) Mann–Kendall significance testing Figure reproduction scripts (Main and Supplementary) All scripts were executed in the conda environment specified in environment.yml. Note: Raw CMIP6 and observational datasets are not redistributed here and must be downloaded from their respective official sources as described in the README. This release is archived for reproducibility purposes.
Fields of Study & Subjects
Climate variability and models
Climate Change and Environmental Impact
Geology and Paleoclimatology Research
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 February 2026
- Language
- EN