Pacific Northwest National Laboratory researchers developed a patented, nearly non-destructive approach, known as liquid secondary ion mass spectrometry, to analyze nuclear samples.
A new study demonstrates how researchers can model human–Earth system feedbacks in a single internally consistent, computationally efficient framework.
Model results show that uncertainties in farmers’ expectations of market and weather conditions amplify agricultural supply and demand variability under a changing climate.
Investigating the soil moisture–precipitation feedbacks that are associated with mesoscale convective system and non-mesoscale convective system rainfall.
Researchers found that increasing restrictions on nonrenewable groundwater use for irrigation shifts agricultural production from western states to the east.
Developing a new approach for defining energy-water-agriculture linkages highlights U.S. regions where focusing on individual sectors may miss cross-sectoral impacts.
Two PNNL interns are behind recent innovation in real-time testing and continuous monitoring for pH and the concentration of chemicals of interest in chemical solutions; outcomes have applicability not only to nuclear, but to industries.
Simulations accurately predicted storm cloud shield timing and growth, but not rain intensities, for over 300 tracked storm complexes in a storm-generating hotspot in Argentina.
Four factors, the El Niño-Southern Oscillation, North Atlantic subtropical high, low-level jet, and water vapor transport from Gulf of Mexico, primarily influence hail occurrence in the Northern Great Plains
