ESD Website Teaser: ESD’s George Pau wins a DOE Office of Science Early Career Research Program award for his work on “A Multiscale Reduced Order Method for Integrated Earth System Modeling.”
ESD’s Charles Koven introduces us to his predictive climate maps, asking us to visualize what will happen by calculating climate analogs (how similar climates are to each other) and how these analogs will shift with global warming.
Permafrost-zone soils contain about 1700 Pg C, and recent research has focused on investigating the potential vulnerability of this carbon to mineralization under climate warming At high latitudes, changes in soil moisture could alter soil temperatures independently of air temperature changes.
The First Partnership Workshop of the LBNL/UC-Davis Predictive Agricultural Initiative focused on how to sustainably manage agricultural systems for a growing world population under changing environmental conditions.
ESD’s Susan Hubbard and her colleagues have trekked to Alaska throughout the past year to follow changes to the permafrost, seeking to understand how climate change will influence the trajectory of the permafrost system.
LBNL Deputy Director Horst Simon, in a message to the Lab, announces a wealth of Lab activities related to Earth Day and Earth Week, and invites all Lab employees to learn how they can make a positive impact.
At noon on Earth Day, Monday, April 22, Bldng 50 Auditorium, ESD’s Bill Collins will explore the latest evidence from across the scientific community documenting the warming and thawing taking place around the globe.
April 22-26, Earth Week at LBNL, will include LBNL’s Science at the Theater event entitled “How Hot Will It Get.” As part of this event, ESD’s Margaret Torn, Jeff Chambers, and Bill Collins will discuss the Earth’s changing climate.
On April 22, 7 p.m. at Berkeley Rep, as part of the LBNL’s Science at the Theater event entitled “How Hot Will It Get,” ESD’s Margaret Torn, Jeff Chambers, and Bill Collins will discuss the Earth’s changing climate.
Convective self-aggregation refers to a phenomenon in cloud-resolving simulations wherein the atmosphere spontaneously develops a circulation with a convecting moist patch and a nonconvecting dry patch.