New York State Streamflow Prediction using Deep Learning

This project developed estimated time series of stream discharge at ungauged and poorly gauged locations throughout New York State using deep learning rainfall-runoff model (Long Short-temr Memory Network or LSTM), which can support better and faster watershed simulation model development needed for non-point source pollution management plans.