Both the type and composition of landforms affect atmospheric properties and clouds in a state-of-the-art Earth system model.

PNNL experts in nuclear forensics helped lead laboratories around the world through a rigorous test involving nuclear materials.

Anthropogenically forced evolution of the leading neutral mode explains historical trends in global surface temperature, lending confidence to regional projections related to modes.

Aerosols from sea-spray that are transported by atmospheric rivers enhance snow precipitation in the Sierra Nevada Mountains.

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.

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.

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

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

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.