Using turbulent heat fluxes as an example, a new study shows that exchange of information between process-based models and deep learning methods may lead to improved predictions.
Computational hydrology
Posted inResearch Spotlights
Mapping Subglacial Meltwater Channels
Researchers find that past studies underestimate the friction meltwater channels exert on glaciers by orders of magnitude.
Posted inScience Updates
Modeling Digs Beyond Soil Properties and Processes
International Soil Modeling Consortium Conference: New Perspectives on Soil Models; Wageningen, Netherlands, 5–7 November 2018
Posted inFeatures
Making Sense of Landslide Danger After Kerala’s Floods
Scientists traveled to Kerala, a state in India recently devastated by severe monsoon rains. They found a vulnerable population that will soon face fresh landslide risks as a new monsoon approaches.
Posted inOpinions
Millions More Americans Face Flood Risks Than Previously Thought
A different modeling approach fills large gaps in the U.S. government’s flood risk estimates, revealing previously overlooked at-risk areas often surrounding small flood-prone streams.