Watershed model simulation and analysis tool
Watershed models prove indispensable for the assessment of various aspects of hydrological cycle especially surface water availability and flow. Through utilizing a system of physical-process-based modeling our Watershed model simulation and analysis tool provides a software platform for relevant data import, model creation and parametrization as well as running and reporting. It provides custom model run sessions organized as separate scenarios, while allowing for the combination of results over several scenarios. Scenario-based concept facilitates the examination and comparison of the current watershed state and its hypothetical states generated by variation in the input data. Computations are based on the input meteorological time-series and the spatial discretization of the watershed model into hydrological response units and subbasins. Therefore our tool enables watershed-level hydrologic estimation, encompassing all elements of the water cycle, from evaporation and condensation, through precipitation to surface runoff and infiltration.
Watershed model forecasting tool
There are a multitude of economic interests dependent on the ability to forecast groundwater flow and the temporal variability of the watershed. Long-term climate change can bring about unexpected consequences, like floods or water shortages, so available meteorological forecasts should be paired with watershed models in order to gain better hydrological insight. Watershed model forecasting tool provides scenario-based modeling framework which allows for the inclusion of regional climate models as inputs for the watershed model. Modeling framework is similar to the one used in the simulation and analysis tool. It provides scenario-specific estimates of the runoff and other hydrological parameters over several long-term forecasting periods, for up to hundred years in the future. Depending on the resolution and the availability of the climate models, watershed forecasts can be thoroughly analyzed and compared over variable scenarios, contributing to an overall long-term hydrological management.