A new study demonstrates how researchers can model human–Earth system feedbacks in a single internally consistent, computationally efficient framework.
Ocean biogeochemical modeling software now available as open source to help researchers predict impacts of pollution, sea level rise, and climate change.
Model results show that uncertainties in farmers’ expectations of market and weather conditions amplify agricultural supply and demand variability under a changing climate.
Investigating the soil moisture–precipitation feedbacks that are associated with mesoscale convective system and non-mesoscale convective system rainfall.
Theoretical work shows that an important natural iron source can be described as a nanoscale composite of different, but experimentally indistinguishable, structures.
Researchers found that increasing restrictions on nonrenewable groundwater use for irrigation shifts agricultural production from western states to the east.
Developing a new approach for defining energy-water-agriculture linkages highlights U.S. regions where focusing on individual sectors may miss cross-sectoral impacts.
Simulations accurately predicted storm cloud shield timing and growth, but not rain intensities, for over 300 tracked storm complexes in a storm-generating hotspot in Argentina.