Bill Collins will serve as chief scientist for the ACME project, designed to accelerate the development and application of high performance computing to achieve the world’s most complete climate and Earth system modeling systems.
ESD’s Jinyun Tang received honorable mention for the Gene E. Likens Junior Scientist (early-career) Outstanding Publication award, for a paper that Tang recently wrote in collaboration with ESD colleague Bill Riley.
ESD’s Ernie Majer is one of several scientists interviewed in a recent National Geographic article about the spike in earthquakes in Oklahoma, and its potential connection to oil and gas wastewater disposal.
In a recent radio interview, ESD’s Travis O’Brien and other climate scientists discuss the importance of fog, with O’Brien calling for (and applauding the recent development of) more accurate fog forecasting within climate models.
A team including ESD’s Sergi Molins and Carl Steefel was awarded 50 million hours at NERSC to further develop its novel simulation of pore-scale flow and reactive transport with unprecedented spatial resolution and process fidelity.
ESD’s Javier Ceja-Navarro and others have characterized the gut microbiome of a wood-feeding beetle native to the eastern US, finding in its gut a metabolic capability permitting both aerobic and anaerobic activity, as well as N2 fixation.
Newly announced SBIR/STTR Phase 1 Release 1 Topics. NOTE: The official FOA is scheduled for release on August 11th. Letters of Intent are due from the Small Business on or before Tuesday, September 2, 2014.
Hoi-Ying Holman and her team of scientists have won a 2014 R&D 100 award, for their Multiplex Chemotyping Microarray (MCM). The MCM generates collections of microscopic biomolecule or particle assemblies accurately and reproducibly.
ESD welcomes Dr. Paulo Artaxo (University of São Paulo), presenting "DSSS: The Close Links Between Biology and Atmospheric Chemistry in Amazonia" July 11 at 10:30am in the Bldg. 66 Auditorium.
Daniele Rosa and Bill Collins compared precipitation data from Southeastern U.S. rain-gauge measurements with GCMs, finding that GCMs overestimate the impact of medium rainfall while underestimating the impact of no, low, or heavy rain.