Researchers are developing an understanding of how either wet or dry soil patches change the sizes of atmospheric eddies and cloud clusters.

Moving toward a deeper understanding of the influence of large marine biogenic particles on cloud ice formation by combining modeling and observational data.

COVID-19 had multiple impacts on the electric sector and the nature of those impacts varied on the scale analyzed.

The overlooked impact of regional hydroclimate changes on lake evaporation implies more robust regional lake volume changes around the globe.

The rapid growth of urban nanoparticles via the condensation of organic vapors substantially alters shallow cloud formation and suppresses precipitation.

Changes in the downward flow of infrared energy in clear skies are a key factor influencing recent rapid wintertime Arctic warming.

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.