Dataset for climate-informed water-allocation modelling in the Metropolitan Region of São Paulo (MRSP), Brazil

Overview

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.

Repository structure

.
├── study_area/

│   └── study_area.zip

├── network_assets/

│   ├── demands/

│   │   └── demands.csv

│   ├── dummy_nodes/

│   │   ├── dummy.csv

│   │   ├── historical_flows/

│   │   │   └── historical_flows.csv

│   │   └── projected_flows/

│       ├── ssp245/

│       └── ssp585/

│   └── reservoirs/

│       ├── reservoirs.csv

│       ├── historical_flows/

│       │   └── historical_flows.csv

│       └── projected_flows/

│           ├── ssp245/

│           └── ssp585/

└── network_files/

    ├── basic_network.mdb

    ├── ssp245/

    ├── ssp585/

    └── README.md

Scenario naming convention

Projected files follow the pattern:

<scenario>-<GCM>

Examples:

• ssp245-CMCC-ESM2
• ssp585-GFDL-CM4

where:

• ssp245 = SSP2-4.5
• ssp585 = SSP5-8.5

File formats and conventions

• CSV files are encoded in UTF-8 with comma (,) as the field separator.
• Decimal separator is ..
• Dates are stored in ISO-like formats (e.g., YYYY-MM-DD). Historical series may keep the original day/month/year convention from the modelling environment.

Recommended use

This repository is intended to support:

• reproducibility of the published analysis;
• validation of model setup and simulation outputs;
• reuse of the flow series and network structure in related water-resources studies;
• future scenario analysis for metropolitan water-supply systems under climate change.

Citation

If you use this dataset, please cite the associated publication and this repository.

Contact

For questions regarding the dataset structure or file contents, please contact:

• Raphael Ferreira Perez
• Universidade de São Paulo
• rfperez@usp.br