Articles

WWAO looks ahead to new Earth data and new relationships with decision makers.

After years of swinging extremes, state snowpack is at rare average of 110%, setting up good water savings account for year ahead.

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.

Last month’s massive snowstorm in the Sierra Nevada followed a dry start to winter. Such extremes in precipitation may become the norm.

Does the public sector need the private sector’s help to address the freshwater crisis? 

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.

A potent storm pushed snowpack levels above normal across Colorado.

California's State Water Project has been focused on maximizing the capture and storage of water from this winter’s storms.

A long-term sea level dataset shows ocean surface heights continuing to rise at faster and faster rates over decades of observations.