NASA Earth science data is being used to feed machine-learning-based forecast models. These models are crucial for decision-making related to water supply, power generation, and public safety in Washington state. The integration of this spatial data allows for a more precise assessment of water resources, especially in the context of persistent snow drought.
The information provided by NASA includes measurements of snowpack, soil moisture, and surface temperature, obtained through satellites and other Earth observation instruments. This data is incorporated into machine learning algorithms that can predict river flow and water availability with greater reliability than traditional methods. This advancement is particularly relevant for regions that heavily rely on snowmelt for their water reserves.
“NASA Earth science data is being used to feed machine-learning-based forecast models.”