A WWAO collaboration has published a new paper on how to use next-generation satellite snow data to improve seasonal water supply forecasts using machine learning.
Using remote-sensing data and machine learning, a team from NASA and beyond finds that switching to lower-intensity crops can reduce water consumption in California’s Central Valley by 93%, but this requires adopting uncommon crop types.
Resurrected for the first time in decades by an epic deluge of winter rain and snow, by spring the lake covered more than 100,000 acres, stretching over cotton, tomato and pistachio fields and miles of roads.
This year’s theme, “Water for Peace,” encourages the world to focus not only on the conflicts, but also on how water can be at the center of peacebuilding.
Learn how to discover, access, and use Surface Water and Ocean Topography (SWOT) mission data and how these data could lead to new, innovative science and applications in the world of water.