A new version of the E3SM Atmosphere Model (EAM) has been released to the community. This study provides an overview of the model and the science behind it, describing advances made to address E3SM science challenges.
A study led by researchers at PNNL reveals physical mechanisms that link declining Arctic sea ice to increasing winter air stagnation and pollution extremes in China based on Earth system modeling results.
By studying discrete functional components of the soil microbiome at high resolution, researchers obtained a more complete picture of soil diversity compared to analysis of the entire soil community.
In this study, researchers probed the ice nucleation ability of different aerosol types by combining 11-year observations from multiple satellites and cloud-resolving model simulations.
New study provides a key reference for Demeter users and is expected to help reduce uncertainties in downstream hydrologic and Earth system simulations.
Researchers at PNNL and the University of Washington examined storms seen by the GPM satellite and found that deep convective storms have been occurring surprisingly frequently at high latitudes during the warm seasons of recent years.
Researchers quantified temperature and gas-cycle responses over time of five simple climate models to impulses of carbon dioxide, methane, and black carbon.
Researchers analyzed the relationship between Earth’s climate sensitivity and historical/future sea level projections, with a particular focus on the high‐impact upper tail.
A team of researchers discovered more about how sea ice in the Southern Ocean might regulate changes in the amount and location of Antarctic precipitation.
Six months into a pandemic that has claimed more than 570,000 lives worldwide, scores of PNNL scientists are engaged in dozens of projects in the fight against COVID-19.
Accurate identification of metabolites, and other small chemicals, in biological and environmental samples has historically fallen short when using traditional methods.
A new study using proteogenomics to compare cancerous tissue with normal fallopian tube samples advances insights about the molecular machinery that underlies ovarian cancer.