We finally have the tools to explore the true complexity of the planet.
For analysing the vast amount of work done by scientists on Earth, data has become cheaper, faster, and more important than ever. Starting from data collection, followed by processing, modelling, and analysis, advanced computing techniques are the basic skills that students and faculty and staff practice. These are skills that are in high demand in many disciplines and jobs today.
Today's earth science is based on data
Satellites and supercomputers are the tools of modern earth scientists. Their research ranges from climate change prediction and earthquake simulation to energy optimization. They investigate the causes of drought, design measures to prevent natural disasters, and pave the way for the future of renewable energy. Stanford geoscientists are likely to be seen in front of an electronic screen. They use algorithms to analyse large amounts of remote sensing data or use computer models to simulate nature, much like they are drilling ice cores in Antarctica or collecting soil samples from the mountains of Mongolia.
Computational Earth Science Program
The graduate program at the School of Computing and Mathematical Engineering provides students with the skills to develop numerical solutions to earth science problems. Stanford Geospatial Center.
The IIOS Geospatial Center
Located in the IIOS Library and offers seminars on the basics of GIS, data management, data visualization tools, and spatial analysis.