The U.C. Global Food Initiative, extensively supported by ESD environmental and climate programs within Berkeley Lab, is inviting applications for a student fellowship opportunity. Applications are due October 1, 2014.
Eoin Brodie and Boris Faybishenko recently co-chaired the first Complex Soil Systems Conference in downtown Berkeley. This flagship conference, strove to develop “A Path to Improved Understanding of Complex Soil Systems.”
Having been selected for a new round of EFRC funding, NCGC is focused on producing robust predictive models for subsurface carbon dioxide trapping processes across scales.
Jens Birkholzer has been named as the new ESD Division Deputy. As announced by ESD's Director Susan Hubbard, Jens will have an expanded role in developing a variety of subsurface energy related opportunities at Berkeley Lab.
A talk between Curt Oldenburg and the Korean Consul General led to an invitation to the Korea Day celebration San Francisco—and then to a talk (captured on video) at the Korean CleanTech Conference last week at Berkeley’s Claremont Hotel.
ESD numerical modelers led by Haruko Wainwright recently compared local and global sensitivity analysis methods, showing how these methods provide consistent parameter-importance rankings and improved system understanding.
ESD Director Susan Hubbard was among 15 women scientists honored at Berkeley Lab, as part of a celebration of women science, technology, engineering, and mathematics (STEM) workers researching ways to change the world for the better.
The Earth Sciences Division was recently awarded “LEED Platinum” status for its newly redesigned headquarters in Bld. 74—the first such award for any Berkeley Lab or DOE building within the Science Laboratory Infrastructure program.
ESD’s Tom Daley recently led a group of researchers in a series of field tests examining the suitability of DAS methodology for borehole and surface measurement of ground motion, with specific application to geologic carbon sequestration.
To streamline inverse modeling, ESD’s George Pau, Yingqi Zhang, and Stefan Finsterle recently studied reduced order models (ROMs) as numerical surrogates, using an input-output relational approach based on Gaussian process regression.