The effects of too much CO2 can cause clouds covering the oceans to dissipate and be unable to reform.

New biogeochemical modeling uses high-resolution mass spectrometry data to reveal how organic matter thermodynamics affect ecosystems across scales.

Hector, a reduced complexity climate model, can be calibrated to emulate 30 different complex, computationally expensive Earth System Models.

The map fills in a portion of the study site missing from sampling studies and enables a better understanding of hydrological dynamics in a complex river corridor.

Using public data from the entire 1,500-square-mile Los Angeles metropolitan area, PNNL researchers reduced the time needed to create a traffic congestion model by an order of magnitude, from hours to minutes.

Two PNNL researchers, one a world-leading authority on microorganisms, the other an expert on coastal ecosystem restoration, have been elected fellows of the American Association for the Advancement of Science.

Clarivate Analytics recently unveiled its 2020 list of Highly Cited Researchers. The list named 17 PNNL scientists for their influential and oft-referenced work.

This committee represents the country’s soil science community in the International Union of Soil Sciences, advises The National Academies, and communicates with professional societies and organizations.

New experiments show organic aerosol can be lost from the atmosphere faster than most models predict.

Researchers created an open database to centralize measurements of gas exchange between the soil and the atmosphere.

PNNL researchers have shown an improved binarized neural network can deliver a low-cost and low-energy computation to help the performance of smart devices and the power grid.

Pervasive shifts in forest dynamics in a changing world started decades ago and are likely to continue.

Two structurally different models agree that population change will have a greater impact on future building electricity consumption than climate change.

Historical weather data informs projections of global yields of economically important crops.

To accurately model future U.S. agricultural production, changes in international crop yields cannot be ignored.

The project received an Innovative and Novel Computational Impact on Theory and Experiment (INCITE) award, a highly competitive U.S. Department of Energy Office of Science program.

Researchers introduced a simulated carbon cycle to the Energy Exascale Earth System Model, broadening its utility and enabling new research directions.

Ecosystem feedback fire model opens new investigative pathways into impacts of fire on future climate.

Increased precipitation intensity and hydrologic extremes are associated with atmospheric rivers under warming temperatures.

Developing an R package for modeling land use and land cover change.