Use Machine Learning to estimate subcatchment inflows to network
Allow users to skip parameterized subcatchment hydrology estimates which may become outdated over time and replace it with machine learning on measured data from TSDB.
Flow meter could train algorithm which learns to predict flows based on rainfall. This flow is then allocated to upstream contributing subcatchments.
As TSDB grows, flow forecasts potentially improve.