The solution- Use GNY's LSTM neural network to better understand the multiple systems that converge in ground water systems. These include weather patterns, domestic and industrial water usage, non-weather climate events (ie. The LSTM could efficiently predict both the demands on water and the changing resources available to meet those needs. Extending these predictions into the future would allow the Department of Agriculture's NWI to predict when shortages will occur and develop plans that can prepare individuals and businesses accordingly. Better prediction of different annual, and seasonal patterns would increase preparedness and extend the amount of time available to respond meaningfully to potentially life threatening challenges.