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.

Four factors, the El Niño-Southern Oscillation, North Atlantic subtropical high, low-level jet, and water vapor transport from Gulf of Mexico, primarily influence hail occurrence in the Northern Great Plains

New estimates show that coastlines around the world will experience an increase in the frequency of extreme sea level events at a range of global warming levels.

Researchers measured the complex air flow that governs the formation of clouds and thunderstorms over Argentinian mountains.

Scientists created a benchmark dataset and explored new algorithms to better predict changes in the intensity of North Atlantic tropical cyclones.

Researchers quantified the contributions of four different types of convective storms to summer extreme precipitation in the Mid-Atlantic region.

An analysis of Panamanian forests found two different sets of correlating hydraulics traits in tropical trees.

Differences in background moisture transport explain how climate variability modes influence the frequency of landfalling atmospheric rivers and their corresponding precipitation.

Examining flood occurrences associated with mesoscale convective systems and their characteristics allows researchers to explore climate-flood linkages.

Large ensemble simulations show that aerosols can significantly modify the predictability of hail and precipitation in hailstorms.

The most polluted U.S. communities from five years ago are still the most polluted today, 50 years after passage of the Clean Air Act amendments of 1970.