This package contains data and codes related to the article: B. Renard, M. Thyer, D. McInerney, D. Kavetski, M. Leonard and S. Westra. A Hidden Climate Indices Modeling Framework for Multi-Variable Space-Time Data. Water Resources Research. R scripts The main computations of the paper have been performed using a computing code named STooDs, which is called using the bash script launchpad.sh. The R scripts in this package only perform pre-processing (create configuration files) and post-processing (analyze results) steps. Funk.R: a set of functions called by other scripts. 1_defineModel.R: define the model to be inferred and create STooDs configuration files in dataset_XXX/runs. 2_analyzeResults.R: analyze the outputs of STooDs runs. 3_crossValidation.R: analyze the outputs of cross-validation experiments in dataset_XV and dataset_XV_1971-1990. Data Data for the 3 cases (full dataset and 2 cross-validation experiments) are located in folders dataset_XXX/data. dat.txt: raw dataset in text format. dataset.RData: dataset in RData format. DMI.txt, NINO.txt, SAM.txt: 3 standard climate indices. spaceP.txt, spaceQ.txt, spaceT.txt: properties of Precipitation (P), Streamflow (Q) and Temperature (T) stations. [only for cross-validation experiments] validation.RData: left-out data used for validation.