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.

New climate pledges issued ahead of COP26 boost the chances of limiting global warming to 2 degrees, according to a new study in Science.

Shrivastava invited to present a keynote talk on secondary organic aerosols at Air & Waste Management Association conference.

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.

Richard (Dick) Smith and Ljiljana (Lili) Paša-Tolić are experts in developing technology and techniques for mass-spectrometry-based multi-omics measurements.

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

Leung was honored for pioneering approaches in climate modeling, discovering unexpected impacts of regional climate change, and understanding extreme weather events and their future changes.

A new model offers more accurate predictions of how intensely hurricanes may strike.

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.