Atmospheric rivers that make landfall on the U.S. West Coast show broad increases in size and intensity with warmer local sea surfaces.

Floodplain inundation simulations shed light on flood generation mechanisms and the increasing role of extreme rainfall.

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

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.

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.

Five PNNL technologies were recently awarded six R&D 100 honors. The R&D 100 Awards, now in its 58th year, recognize pioneers in science and technology from industry, the federal government, and academia.

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.

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

This study examines the roles of the semi-annual variation of solar radiation and soil moisture on the Madden-Julian Oscillation (MJO) propagation across the Maritime Continent islands.

University of Maryland, NASA Goddard Space Flight Center, and PNNL scientists explored how radiation-cloud-convection-circulation interactions (RC3I) affect the Intertropical Convergence Zone (ITCZ) and circulation at the global scale.

A study led by scientists at PNNL points to a new frontier for understanding the coupled climate system from the perspective of a nonlinear dynamical system.

By quantifying the contribution of snowpack to runoff and extreme flooding in mountainous regions in the western United States, PNNL researchers provided a unified view of the interactions between snowpack and precipitation.

This study, led by by PNNL researchers, highlights the substantial role of soil erosion in the carbon cycle simulated by Earth system models.

DOE lab and university researchers used the Community Atmospheric Model 5.3 to investigate the power sea surface temperature has on the intensification or widening of the Hadley cell in the Northern and Southern hemispheres.

A team of researchers led by PNNL scientists have developed an open-source modeling platform, called Metis, that combines global human and Earth system dynamic tools with local datasets.

A study led by PNNL scientists reveals the influence of Arctic and midlatitude black carbon—or soot particles—on the frequency of extreme El Niño-Southern Oscillation (ENSO) events.