A circumglobal circulation pattern related to natural climate variability influences the location of summertime hot spots.

Increasing amounts of atmospheric carbon dioxide change when in the day tropical forest rainfall occurs.

The Earth system model aerosol-cloud diagnostics package version 1 uses aircraft, ship, and surface measurements to evaluate simulated aerosols in an Earth system model.

MSD-LIVE, a cloud-based data and code management system, will be released in summer 2022 for hundreds of scientists.

Assessing a complex concert of the weather and terrain conditions that affect the growth of cumulus clouds into deep thunderstorms along mountain ranges.

Tropical cyclones induce sea surface cooling, but their associated heavy rainfall reduces the effect through increased ocean mixing.

As wildfires grow increasingly severe, PNNL researchers are working to slow their spread and mitigate their harmful effects.

EGRASS helps prepare and fortify critical structures to protect against the worst consequences of new hurricanes.

Relaxing the simplifying assumptions in model energy budgets can affect their simulated regional water cycles.

Over three days more than 200 federal, state, and tribal partners gathered to evaluate and walk through the Federal Emergency Management Agency (FEMA) Region 10 Cascadia Subduction Zone Earthquake and Tsunami Response Plan.

New research quantifies the discrepancies between ground measurements of soil respiration and satellite estimates of photosynthesis.

Journal article on novel approach to characterizing particles selected by Spectrochimica Acta Part B as the best paper published during 2021.

Researchers at PNNL are developing a better model of the soil, better representing the atmosphere, and identifying sources of record high rainfall within a model of the Earth system.

An improved model captures the interactions between the U.S. economy, energy, water, and land systems with increased spatial and temporal detail.

Recalibrating both cloud and subgrid representations improves model projections of the base climate, aerosol-cloud interactions, and cloud feedbacks.

A climate change study co-authored by PNNL scientist Hailong Wang inspired an artist to create an exhibit based on the research.

A newly developed tool helps researchers analyze process-level relationships within atmospheric models.

In an invited review article, PNNL researchers examined the literature surrounding modeling and measuring the ice-nucleating particles that help form clouds.

A novel database of tracked deep convective storms reveals how environmental factors affect storm formation and growth in South America.

Investigating cloud condensation nuclei activities in various airmasses enabled linking activity variations with organic oxidation levels and volatility