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.
Land/atmosphere interactions
Are Soil Moisture and Latent Heat Overcoupled in Land Models?
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.
Modeling Digs Beyond Soil Properties and Processes
International Soil Modeling Consortium Conference: New Perspectives on Soil Models; Wageningen, Netherlands, 5–7 November 2018
Rising Temperatures Reduce Colorado River Flow
Hotter conditions have played a much greater role in reducing flow during the ongoing Millennium Drought than in a mid-20th century drought.
Massive Scale Evaporative Water Losses from Irrigation
Evaporation can demonstrate the effects of crop irrigation on decadal trends in evapotranspiration at a regional spatial extent.
Landslides Send Carbon-Rich Soils into Long-Term Storage
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 Better Way to Predict the Indian Monsoon
A new study finds that including Himalayan topography and land-atmosphere interactions improves climate models.
Wet Soils Elevate Nighttime Temperatures
Soil moisture can elevate overnight temperatures, offsetting daytime cooling, especially over areas of strong land-atmosphere interactions.
Water Resources in a Changing Climate
Hydrology Days 2015; Fort Collins, Colorado, 23–25 March 2015
Global Warming Intensifies Drought Conditions in California
The rise in global temperatures has amplified naturally occurring drought conditions in California and has increased the chance of severe droughts in the future.
