Ensembles of 20–25 members, notably smaller than traditional large ensembles, can accurately represent changes in extremes of temperature and precipitation.

Researchers developed a new model to understand the initiation of summer-time mesoscale convective systems over the central United States.

Using a novel settlement-related dataset produced more accurate population downscaling than using other, more traditional datasets.

Implementing and evaluating a new radiative transfer scheme that accounts for various topographic effects on solar radiation in an Earth system model.

Despite an increase in future electricity demands, virtual water trading in the U.S. electricity sector is expected to decline as renewable energy expands.

Additional fire-favorable weather associated with declines in Arctic sea ice during summer can increase autumn wildfires over the western United States.

Better representing cloud microphysics can Reduce model bias in simulating mesoscale convective system precipitation.

New analysis demonstrates that the Madden-Julian Oscillation can influence tropical cyclones in the Pacific through both the atmosphere and the ocean.

A new study demonstrates how researchers can model human–Earth system feedbacks in a single internally consistent, computationally efficient framework.

Simulations show a strong correlation between the water content and the viscosity of organic aerosol over the Amazon rainforest.

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.

Researchers found that increasing restrictions on nonrenewable groundwater use for irrigation shifts agricultural production from western states to the east.

Numerical modeling shows the effects of nonlinear tide–surge–river interactions on three coastal flooding zones within the Delaware Bay Estuary.

The mountains of central Argentina provide an ideal cloud-generating hotspot for field studies of environmental controls on the evolution of clouds.

Developing a new approach for defining energy-water-agriculture linkages highlights U.S. regions where focusing on individual sectors may miss cross-sectoral impacts.

A climatological analysis presents the hydrological extremes caused by tropical cyclones from 1950‒2019 over the Mid-Atlantic region.

A new analysis assesses the impact of model resolution on the Subtropical Eastern North Pacific sea surface temperature bias.

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.

Results from the Global Change Analysis Model show the high sensitivity of global agroeconomic futures to global market integration.