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

The repository contains materials for analysing the 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). The available files are: - run_SupplMat.R: the main R script to perform the diagnostics and the different analyses (levels 1 - 3) - utilsPLOT.R: functions for plotting - Diagnostics.zip: the zip file with the png figures, named 'GrIS_CaseXXX_yYYY.png', that depict the diagnostic for case XXX for prediction time YYY - SupplementaryMaterials.zip - RData files for each prediction time YYY "Shapley_yYYY" with: S: matrix N=55 cases x d+1: SHAP values for the d inputs (+ average sea level value at time YYY) YHAT: ML-based predictions of the sea level for the 55 cases YTRUE: true values for the 55 cases mae: mean absolute error - RData file containing the design of experiments "DOE_GrIS_MIROC5-RCP85.RData" doe: matrix with values of the d=9 inputs These constitute the supplementary materials of Rohmer et al. (2022, The Cryosphere). All technical details are provided in this reference.