We finally have the tools to explore earth in its real complexity
Data has become cheaper, faster, and more central to analyzing the broad scope of work carried out by Earth scientists than ever before. Beginning with data acquisition, and on to processing, modeling, and analysis, advanced computing techniques are a core skill practiced by students and faculty. "These are skills in high demand across many disciplines and jobs today," says senior associate dean Margot Gerritsen.
Today's Earth science is data driven
The satellite and supercomputer are the tools of modern geoscientists whose research spans from climate change projections and earthquake simulations to energy resources optimization. They investigate causes of drought, design defenses against natural disasters, and blaze a path toward a renewable energy future.
Stanford Earth scientists are as likely to be found in front of an electronic screen, analyzing torrents of remote-sensing data with algorithms or simulating nature with computer models, as they are to be drilling ice cores in Antarctica or gathering soil samples from mountains in Mongolia. Read on...
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Prof. Margot Gerritsen a guest on NVIDIA's AI Podcast
GTC Digital was held in March 2020. The event included several half-hour interviews with leaders across AI and accelerated computing.
