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

PNNL researchers design an artificial intelligence-guided electron microscope in a Laboratory Directed Research and Development study.

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

Researchers are studying the chemical reactions that occur when oxygen mixes into the surface of oxide materials.

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

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

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

The size of the alkali metal within the material influences the crystallization pathway.

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

New study investigates how to use a non-toxic condensation particle counter for airborne atmospheric research

Soil transplant experiment gives new insights into coastal forest resilience, rising seas, and increasing storms.

ICON science is a Department of Energy-developed framework to enhance scientific outcomes via more intentional design of research efforts across all domains of science.

A new capability facilitates source apportionment of organic aerosols in real time.

The COVID-19 pandemic massively disrupted human activities, which caused additional turmoil through regional record rainfall and floods.

A global warming-induced poleward shift of the westerly jet affects the hydroclimate of the U.S. Midwest differently in the spring and summer.

Measuring the ice nucleation activity of particles in the ambient atmosphere can help develop better representations for use in climate models.

A novel ecological measurement uncovered interactions between river corridor organic matter assemblages and microbial communities, highlighting potentially important microbial taxa and molecular formula types.

Performing a network analysis of forces between particles reveals new insight into shear induced thinning and thickening in non-Newtonian fluids.

The climate models best at simulating current precipitation and its drivers show more consensus in projecting future precipitation.

New data analysis approach gives researchers deeper understanding of microbial ecology and evolution.