Hydrometeorological Forecast Platform
Monitoring and forecasting
SenseMet® and SenseHidro®
What do the platforms provide?
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Data collected by government stations updated in real time and historically, for the entire national territory;
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Latest generation data from the GOES-19 satellite: access to satellite images, satellite rainfall accumulations and electrical discharges, for the entire national territory and neighboring countries;
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The system integrates information from other telemetry stations, radars or high-resolution networks for detecting electrical discharges, if desired;
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Immediate forecasting, or nowcasting, for monitoring storm systems over the next hour. Equations are used to predict the life cycle of convective systems, using an algorithm that predicts the movement and intensity of storms in real time.
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Weather forecast up to 15 days in advance: model combined with the best sources on the market (including the European ECMWF model and the American GFS) and with exclusive Rhama Analysis post-processing, which uses Artificial Intelligence (average accuracy above the market);
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The system integrates information from other telemetry stations, radars or high-resolution networks for detecting electrical discharges, if desired;
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Biweekly weather forecast for 3 months in advance and monthly for 9 months: exclusive model from Rhama Analysis, which employs an innovative approach and is based on the use of climate indices to obtain a forecast model based on AI techniques in conjunction with dynamic and statistical forecasts from reference centers;
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Hydrological forecasting uses lumped and/or distributed models, depending on the context, applying streamflow-runoff or rainfall-runoff models. When selecting a model, our team will evaluate the characteristics of the basins associated with the study area, such as their scale, hydrological parameters, baseflow response time, evapotranspiration, land use characteristics and type, among others. Our hydrological models are calibrated using physical and hydrometeorological parameters, observed rainfall and streamflow data from the watershed, and integrated weather forecasting with SenseMet®.
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Hydrodynamic models to simulate water flow in rivers, lakes, reservoirs, coastal areas, and flood-prone areas, solving physical equations to determine flood propagation and obtaining results such as flood spots, velocity maps, areas of greater or lesser hydrodynamic danger, among others;
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Custom indicators and alerts generated from triggers based on critical values.
Extreme events pose imminent risks to lives and infrastructure, requiring constant monitoring and assertive forecasts.
Proactive hydrometeorological management requires robust monitoring and forecasting systems capable of supporting strategic decisions in multiple sectors such as mining, energy, sanitation, infrastructure, and protecting cities against natural disasters.
Brazil's first integrated hydrometeorological system
Our SenseMet® meteorology and SenseHidro® hydrology platforms are structured around an automated, highly available system that provides real-time data collected by government automated stations, as well as remote information. It's also possible to integrate new data sources, such as customer telemetry stations.
The platform provides immediate rainfall forecasts – nowcasting – up to 1 hour in advance, short-term forecasts (up to 15 days in advance), and extended forecasts (biweekly, up to 3 months in advance, and monthly up to 9 months in advance) for the main meteorological and hydrological variables.
All of our models are frequently calibrated using Machine Learning and Artificial Intelligence (AI) techniques to ensure highly accurate predictions and precise information for decision-making.