SIMPCCe - Climate Change Forecasting Simulator for Reservoirs๏
๐๐ #climate-change #reservoirs #hydrology #forecasting #machine-learning #data-science
Context๏
As climate change alters hydrological patterns, it is essential to develop tools that can evaluate and forecast its impact on water availability in reservoirs. In this context, SIMPCCe has been created to simulate climate change forecasts applied specifically to reservoir systems.
SIMPCCe Application Screenshots๏
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Description๏
SIMPCCe is an innovative simulation tool designed to assess the effects of climate change on water reservoirs. Its goal is to make advanced modeling methodologies accessible without requiring users to write code or install complex dependencies.
Main Features๏
Hydrometeorological Data Analysis
Integrates historical records with projected climate data to estimate impacts on reservoir behavior.Artificial Intelligence Integration
Applies machine learning and neural networks for pattern recognition and hydrological forecasting.Climate Scenario Generation
Enables the creation and comparison of various future climate change scenarios to evaluate reservoir resilience.User-Friendly Interface
Allows users to configure simulations and analyze results intuitively, with no programming knowledge required.
Perspectives๏
๐๏ธ Reservoir and water resource managers can use SIMPCCe to access high-resolution, near real-time forecasts of reservoir behavior.
๐ Integrating AI into climate and hydrological analysis empowers more resilient planning and helps mitigate the adverse effects of climate variability.
Additional Notes๏
๐ GitHub Repository: github.com/IHCantabria/SIMPCCe
๐ Scientific Publication: SIMPCCe: Climate Change Forecasting Simulator for Reservoirs
๐ Real-world Implementation: Used in active water resource management projects in collaboration with IHCantabria.
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