This document discusses building an "Internet of Water" through sensing water levels and flows, computing and communicating that data through various networks, and using the data to better understand evaporation and improve water balance forecasts. It focuses on creating a hierarchical network of sensors in the Great Lakes to measure evaporation, including low-cost drifters to expand measurements, and leveraging ship observation data and existing buoy networks. The goal is to address current limitations and biases in models through more comprehensive real-time water monitoring networks.