Local explanation SHAP approach applied to MIROC5,RCP8.5-forced multi-model ensemble study of GrIS future sea-level contributions

• Main Author: Jeremy Rohmer
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2022
• Subjects: Machine Learning; Sensitivity analysis; Sea Level Rise; Ice-Sheet Model; Ice Sheet
• Online Access: https://doi.org/10.5281/zenodo.6606487

The repositorycontains materials for analysingthe results of the Local explanation named SHAP-CTREE (Redelmeier et al., 2020) approach applied to the MIROC5,RCP8.5-forced multi-model ensemble study of GrIS future sea-level contributions from Goelzer et al. (2020). - run_Suppl.R: the main R script to perform the diagnostics and the different analyses (levels 1 - 3); - utils.R: functions for plotting; - GrIS_SHAP_AllTime.RData: A R data object with xinput0: list of T=18 matrices N=55 cases x d=6inputs: design of experiments S0: list of T=18 matrices N=55 cases x d+1: SHAP values for the d inputs Ypred: list of T=18 vectors of N=55 cases: ML-based predictions of sea level change Ytrue: list of T=18 vectors of N=55 cases: Sea level change computed within MIROC5,RCP8.5,GrIS MME mu0: vector of 18 values: time evolution of GrIS MME mean - Diagnostics.zip: the zip file with the png figures, named 'GrIS_time_YYYcaseXXX.png', that depict the diagnostic for case XXX andprediction time YYY These constitute the supplementary materials of Rohmer et al. (2022, The Cryosphere, submitted). All technical details are provided in this reference.