Information extracted from a variety of atmospheric observations can correct the behavior of a model and improve simulated clouds.

A small collection of naturally interacting soil microbes could enable new studies of community interactions and metabolism.

Community Land Model 5.0 can represent how irrigation influences water, carbon, and nitrogen budgets throughout a highly managed semiarid watershed.

Aerosol treatments in E3SM affect clouds, heat reflected to space, and Earth’s snow-or-ice-covered surface.

Researchers created an open database for soil-atmosphere greenhouse gas flux data.

Soil microbial communities produced more water retaining molecules when enriched with insoluble organic carbon, chitin, compared to a soluble carbon source, N-acetylglucosamine.

PNNL researchers used the Global Change Analysis Model (GCAM) to explore 15 different global scenarios that consisted of combinations of five different socioeconomic futures and four different climatic futures.

New-particle formation driven by natural biogenic emissions produces a large number of small particles in the Amazon free troposphere.

Geophysical modeling and inversion software meets DOE and nuclear industry standards for use in decision-making for radiologically contaminated sites.

A team of researchers led by scientists from PNNL simulated carbon cycling and community composition during 100 years of forest regrowth following disturbance.

Mesoscale convective systems produce more intense rainfall than warm-season rain in this region.

Downscaling methods improve representation of terrain effects on precipitation for earth system models.

PNNL researchers combined future socioeconomic and climate conditions in a complex model that accounts for the relationships between energy, water, land, climate, and human activities to predict future changes in virtual water trading.

PNNL scientists led a study to quantify radiative feedbacks using historical short-term climate simulations. These simulations can reproduce the observed warming and polar amplification.

PNNL researchers enhanced an existing method for radar calibration so it could be used at remote sites.

Both fast-evolving and inherently random physical phenomena can appear noisy in numerical simulations. Now a generalized Itô correction can help ensure solution accuracy.

PNNL researchers deduced two superimposed processes that contribute to the organization of convective clouds.

Research reveals how heat and aerosols from wildfires initiate and invigorate severe storms.

This study by PNNL researchers provides an alternative explanation for why the Arctic warms more than the Antarctic.