Raphael Ferreira Perez
University of Sao Paulo | University Graduate Student
| Subject Areas: | Hydrology, Water Management |
Recent Activity
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.
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Created: April 21, 2023, 6:02 p.m.
Authors: Perez, Raphael Ferreira
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.
Created: June 30, 2023, 2:47 p.m.
Authors: Perez, Raphael Ferreira
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.
Created: March 24, 2026, 5:26 p.m.
Authors: Perez, Raphael Ferreira
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.