Changes in land use and land cover have diverse and contrasting effects on different types of rain.

Metrics and diagnostics that improve connections between model errors and their sources can lead to better precipitation modeling.

Read interviews with the new Laboratory fellows to learn about their contributions to their field, what drives them, and how their research is making the nation safer, greener, and more resilient.

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.

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.

Eight Office of Science Graduate Student Research join PNNL.

Eight PNNL research papers were recognized by the 2022 Waste Management Symposia as “Papers of Note” and “Superior.” One paper received a Best Oral Paper/Presentation Award.

The size and concentration of ions influences the aggregation behavior of solutions of boehmite.

PNNL scientists have proposed an "adaptive site management" cleanup strategy for the Hanford Site's Central Plateau that incorporates a structured, flexible approach to environmental remediation.

PNNL’s Rob Howard received the 2022 Fuel Cycle and Waste Management Award from the American Nuclear Society.

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

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.