Core function of the eWaterCycle is hydrological forecasting
eWaterCycle is a project that will provide detailed hydrological information for water management challenges around the globe. We will calculate how much water is available in each part of the world at present and in the near future. Using the most advanced science-based models and high performance computing, we will be able to make statements about the water availability at every one square kilometer of the land surface. Eventually, we would be able to do the same for each hectar (100 m x 100 m). Unique is that in situ and satellite data will be used to update and improve the forecast, not unlike the setting of a watch once every day.
Applications : There are many possible applications to improve the daily operation of governments and businesses. Water shortages affect crops, navigation, and hydropower generation. Floods can have extreme negative impacts on society and early warning at high spatial resolution will give people and business the necessary time to prepare. Supply chain risk management, including better forms of insurance and hedging, can attained through eWaterCycle. In a recent survey by the
Carbon Disclosure Project , more than 50% of businesses stated that water shortages and excesses regularly affected their operation. eWaterCycle will provide operational flood and drought information at a very fine scale to enable mitigation and management of upcoming extreme events.
What is new about eWaterCycle?
Several global hydrological model exists but with eWaterCycle we are producing information at a much finer scale, thereby allowing for much better direction of mitigation measures. The present resolution of one square kilometer has more than 2000 times more cells than previous models. Of special value is that the predictions are continuously checked against measurements (satellites and in situ), which ensures that the model is always close to the true state.
Unique Selling Point
The Unique Selling Point of eWaterCycle is that it will be the first operational global model that runs forecasts up to ten days ahead. Clearly, weather predictions drive the model and our predictions can not be better than the weather inputs. Still, many weather patterns that cause floods and droughts can be predicted by existing meteorological model with long lead times.
The reliability of the predictions will never be 100% but our method allows to attach confidence intervals to the predictions. So for each possible prediction, we will be able to state the likelihood with which a specific outcome will occur. Depending on the severity of the impact, governments and companies can take measures accordingly. For example, even when a certain extreme flood event may be predicted to occur with a chance of only 5%, it may be worthwhile to take measures if the damage of this flood would hamstring a society or supply chain.
overview of eWaterCycles brand, mission and vision (PDF)