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 novel statistical approach demonstrates how to reduce bias in remote sensing estimates of soil moisture and latent heat flux coupling strength and clarifies the relationship between the variables.
International Soil Modeling Consortium Conference: New Perspectives on Soil Models; Wageningen, Netherlands, 5–7 November 2018
Hotter conditions have played a much greater role in reducing flow during the ongoing Millennium Drought than in a mid-20th century drought.
Earthquake-triggered landslides move soils down steep slopes and deposit the sediments near rivers, sequestering the carbon contained within them for millions of years.
A new study finds that including Himalayan topography and land-atmosphere interactions improves climate models.
Soil moisture can elevate overnight temperatures, offsetting daytime cooling, especially over areas of strong land-atmosphere interactions.
Hydrology Days 2015; Fort Collins, Colorado, 23–25 March 2015
The rise in global temperatures has amplified naturally occurring drought conditions in California and has increased the chance of severe droughts in the future.
Workshop on Modeling and Managing Flood Risk in Mountainous Areas; Folsom, California, 17–19 February 2015