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.
Excess of a single nutrient, such as nitrogen, may boost plant productivity, but the imbalance leads to less efficient water use as plants scramble for the nutrients they lack.
A numerical model of groundwater-surface water systems shows how floodplain evaporation can reverse stream-groundwater flow and produce strong buoyancy changes associated with salinity.
New climate projections could inform long-term wildfire and water resources management strategies in California and Nevada.
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.
Models that accurately represent past and present rainfall provide more accurate projections of water availability, a new study suggests.
Evapotranspiration is the exchange of water vapor between land and the atmosphere, and it is hard to measure and model. A new study shows promise for its estimation over large, vegetated landscapes.
A study of the Yangtze River Delta shows how urbanization dries out the atmosphere.
Characterizing leaf phenology in process-based models reconciles both “dry season green-up” and drought controls on Amazonian carbon balance.
Reservoir Evaporation Workshop; Boulder, Colorado, 22–23 October 2015