Dalei Hao joined the editorial board of the journal Earth System Science Data, covering land and ice.

The initial conditions and setup influence how large-eddy simulations representation atmospheric properties important for larger-scale models.

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.

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.

A paper from PNNL and Southern California Edison describing new methodologies for assessing electric vehicle impacts to the grid was selected as a best paper by IEEE.

Energy storage expert Ji-Guang (Jason) Zhang was honored by DOE with a Distinguished Achievement Award.

The first-ever simulation of aluminum conductivity offers a recipe for an inexpensive, lightweight alternative to copper.

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.