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

Description

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). - 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 and prediction time YYY These constitute the supplementary materials of Rohmer et al. (2022, The Cryosphere, submitted). All technical details are provided in this reference.

Resources

Name Format Description Link
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-6606487
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-6606487
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-6606487
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-6606487
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-6606487
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-6606487

Tags

  • sensitivity-analysis
  • sea-level-rise
  • ice-sheet-model
  • machine-learning

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