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.

Improving predictability of water quality and nutrient cycling in large river systems.

Developing conceptual models for microbial-environmental–ecosystem interactions is key to enhancing the ability of models to predict future ecosystem function.

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

Research from the PNNL-led WHONDRS consortium reveals chemistry and spatial gradients of metabolomes from river water and sediments around the globe.

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.

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.