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Computational hydrology

Four plots comparing the accuracy of predicted latent heat and sensible heat fluxes with observations from flux towers.
Posted inEditors' Highlights

Combining Deep Learning Methods with Process-based Models

by Marc F. P. Bierkens 2 July 202128 September 2021

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.

A researcher inside the subglacial conduit under Hansbreen, Svalbard
Posted inResearch Spotlights

Mapping Subglacial Meltwater Channels

by E. Underwood 28 May 2019

Researchers find that past studies underestimate the friction meltwater channels exert on glaciers by orders of magnitude.

The soil in a field near the campus of Wageningen University in the Netherlands clearly shows its layered structure.
Posted inScience Updates

Modeling Digs Beyond Soil Properties and Processes

by M. van der Ploeg, C. Carranza and Roland Baatz 29 March 201928 September 2021

International Soil Modeling Consortium Conference: New Perspectives on Soil Models; Wageningen, Netherlands, 5–7 November 2018

The Cheruthoni River and Dam, Kerala, India.
Posted inFeatures

Making Sense of Landslide Danger After Kerala’s Floods

by Jenessa Duncombe 18 October 2018

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.

A Spring Lake, N.C., resident is carried from her flooded home on 17 September 2018, in the aftermath of Hurricane Florence.
Posted inOpinions

Millions More Americans Face Flood Risks Than Previously Thought

by O. Wing, P. Bates, C. Sampson, A. Smith, J. Fargione and K. Johnson 19 September 2018

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.

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