Hydrology Paper of the Day @oriescc.bsky.social @soham-adla.bsky.social @iaguirre.bsky.social and many other colleagues on a framework of principles for hydrological science communication: the need for in-person meetings and proper channels; equity and building trust; and the need for simplicity.

"Taken together, these results indicate that conclusions about AI performance in weather forecasting remain highly sensitive to how extremes are defined, which hazards are considered & where the extreme events occur. This underscores the need for consensus-driven, standardized evaluation protocols."

Effect of AI data centers on energy: "Under scenarios with constrained growth in renewable energy & limited expansion of transmission infrastructure, U.S. electricity prices could increase by 8.6%, U.S. & global carbon emissions would rise by 5.5%, 1.2%." Bogmans et al. 2026 doi.org/10.1016/j.en...

"People trust data with a location and a photograph more than a datapoint alone." The FUSS framework for communicating hydrological science from @iahs-aish.bsky.social www.tandfonline.com/doi/full/10.... @oriescc.bsky.social @soham-adla.bsky.social @iaguirre.bsky.social