ABSTRACT:

Vector layers (OGC GeoPackage, EPSG:4674) of the Cantareira Water Supply System, São Paulo Metropolitan Region, Brazil: the four incremental drainage basins of the Jaguari/Jacareí, Cachoeira, Atibainha and Paiva Castro reservoirs, the reservoirs, tributary rivers, interconnection tunnels, the inter-basin transfer from the Jaguari reservoir (Paraíba do Sul basin), and administrative context layers (IBGE, Natural Earth). Prepared for the study area map of a reservoir storage forecasting study and for the area-weighted aggregation of gridded climate data. A codebook describes every layer and attribute.

ABSTRACT:

Monthly input series and model outputs of a study that forecasts the total storage of the Cantareira Water Supply System, the largest water supply system of the São Paulo Metropolitan Region (Brazil), 3 and 12 months ahead with XGBoost and LSTM models. Inputs, per incremental basin of the four Cantareira reservoirs: precipitation and reference evapotranspiration (1961–2025, area-weighted aggregates of the BR-DWGD gridded data), GRACE/GRACE-FO terrestrial water storage anomaly (2002–2024), and Sabesp operational records of storage, natural inflow, release, tunnel and inter-basin transfer flows (1980–2026), plus the operational balance flow derived from them. Outputs: forecasts, benchmark comparisons (persistence and seasonal climatology), skill and reliability scores, Diebold–Mariano tests and explainability results (SHAP, saliency and perturbation). Files keep the paths of the code repository, so the code release reproduces every figure and table of the paper. A codebook describes every column and a manifest lists SHA-256 checksums.

ABSTRACT:

Metropolitan regions face increasing water-security challenges driven by population growth, urbanization, and climate change. This dataset supports the assessment of long-term reliability and supply capacity of the Metropolitan Supply System (MSS) of the Metropolitan Region of São Paulo (MRSP), Brazil, under future climate uncertainty. It includes geospatial data for the study area, basic network-flow assets for water-allocation modelling, and historical and climate-informed flow series for network nodes and reservoirs. Future scenarios were derived from five general circulation models (GCMs) under the SSP2-4.5 and SSP5-8.5 pathways, after downscaling and bias correction. The repository also provides baseline and scenario-specific network files used in the simulations. These data can support reproducibility, scenario analysis, and further studies on urban water-supply planning under climate change.

ABSTRACT:

Collection of input data and model results for the investigation of hydrologic modeling techniques to support decision making in the Piracicaba, Capivari and Jundiaí watersheds (PCJ). The designed model couples rainfall-runoff and routing to estimate the necessary discharges in two reservoirs of the Cantareira System in order to fulfill the minimum mean discharge in two control sections downstream, one in Atibaia and another in Valinhos. Through groups of seven days of meteorological forecast data, the outflows are calculated along two years of simulation.

ABSTRACT:

Collection of input data and model results for the investigation of hydrologic modeling techniques to support decision making in the Piracicaba, Capivari and Jundiaí watersheds (PCJ). The designed model couples rainfall-runoff and routing to estimate the necessary discharges in two reservoirs of the Cantareira System in order to fulfill the minimum mean discharge in two control sections downstream, one in Atibaia and another in Valinhos. Through groups of seven days of meteorological forecast data, the outflows are calculated along two years of simulation.