A team of Earth scientists including ESD’s Tamas Torok demonstrated that in vitro biodiversity is sufficiently broad enough to be used for natural plant product screening—as an alternative to intact plants.
A paper that ESD Climate Scientist Travis O’Brien co-authored is featured on this week’s cover of the weekly AGU journal Eos, Transactions of the AGU—just in time for the AGU Meeting!
A recent New Scientist article on new hydrocarbon sensing capabilities being used in Australia quotes ESD’s Hydrocarbon Resources Program Head George Moridis, on just how and for what reason these techniques are being used.
Harry Beller recently led the refinement of an engineered strain of E. coli that can convert glucose into significant quantities of methyl ketones, a promising source of clean, green, and renewable blending agents for diesel fuel.
ESD climate scientists Jinyun Tang and Bill Riley have developed a climate model that quantifies interactions between soil microbes and their surroundings.
Using some of the most powerful supercomputers now available, a team of Lawrence Berkeley National Laboratory (Berkeley Lab) climate scientists headed by Michael Wehner (and including ESD Climate Science Head Bill Collins) was able to complete a run a high resolution global-climate-model simulation in just three months.
ESD’s David Romps recently led a team of climate scientists in looking at predictions of cloud buoyancy in 11 different climate models—the combined effect of which (they concluded) will generate more frequent lightning strikes.
ESD’s Giovanni Birarda and others recently investigated the microbiome relatedness of subsurface biofilms within two sulfidic springs in Germany—the results of which provide insight into the dynamics of subsurface microbial life.
ESD’s Dan Feldman and Bill Collins have identified a mechanism that could turn out to be a big contributor to warming in the Arctic region and melting sea ice—in the far infrared region of the electromagnetic spectrum.
ESD’s Jie Niu helped to quantify water-budget components and storage changes for two of the largest watersheds in Michigan, using remotely sensed data and a process-based hydrologic model representing subsurface and land surface processes.