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Preference to freshman. Natural hazards, earthquakes, volcanoes, floods, hurricanes, and fires, and how they affect people and society; great disasters such as asteroid impacts that periodically obliterate many species of life. Scientific issues, political and social consequences, costs of disaster mitigation, and how scientific knowledge affects policy. How spaceborne imaging technology makes it possible to respond quickly and mitigate consequences; how it is applied to natural disasters; and remote sensing data manipulation and analysis. GER:DB-EngrAppSci

Introduction to the foundations of contemporary geophysics. Topics drawn from broad themes in: whole Earth geodynamics, geohazards, natural resources, and environment. In each case the focus is on how the interpretation of a variety of geophysical measurements (e.g., gravity, seismology, electromagnetics, and remote sensing) can be used to provide fundamental insight into the behavior of the Earth.

Grappling with the big questions of sustainability and climate change, requires that we have ways to measure ? as we cannot manage what we cannot measure. This course, Taking the Pulse of the Planet introduces a new research and teaching initiative at Stanford ? also called Taking the Pulse of the Planet, which has the following goal: to have in place a global network of satellite, airborne, land/water-based sensors to support the real-time adaptive management of planetary health and human activities. Measurements will be made at the spatial and temporal scales required to inform the development and implementation of new policies addressing critical issues related to climate change, sustainability, and equity. Tapping into rapid advancements in sensor technology and data science over the past decade, we can now image and monitor many components of the Earth system and human activities. With the launch of the Stanford Doerr School of Sustainability, we wish to celebrate, through this course, the powerful role that advancements in technology ? specifically sensors ? and advancements in data science are playing in addressing the global challenges in sustainability and climate change. This will be a lecture class for undergraduates and graduate students designed to introduce them to the incredible array of sensors and data sets now available. We will finish the quarter with group projects that will involve the making and deployment of sensors around campus. The course will be designed to accommodate students at any level, with any background, with no required pre-requisites. In most of the assignments, we will be using Google co-lab to work with various types of sensor data. We anticipate drawing to this course both data-science-savvy and data-science-interested students. Therefore, we have developed online modules that are designed to help any student get up to speed on the "jargon" and the computational approaches used in the class.

Most problems in Earth Science are dazzling and beautifully complex. Abstracting from this natural complexity to identify the essential components and mechanisms of a natural system is perhaps the most important, but commonly overlooked, task for developing testable mathematical models for Earth and Environmental Science. This course focuses on conceptual model development, rather than addressing the variety of formal mathematical techniques available for the analytical analysis or numerical simulation of a model. Recommended Prerequisites: CME 100 or MATH 51 (or equivalent)

Ice is an essential element of Earth's global climate system. This course introduces undergraduate and graduate students to the physics of ice on Earth and other Planetary bodies. Drawing from basic physical concepts, mathematical modeling, and different observations, we discuss how ice forms, deforms, and melts through its interactions with other elements of the climate system including the atmosphere, the ocean and the ground beneath. Students will gain an appreciation for the variety of physical processes relevant in the cryosphere, the outsized importance of ice sheets for the global climate system, and the large gaps that remain in our understanding. Recommended Prerequisite: MATH 51 or equivalent.

Interdisciplinary problems involving the state and movement of fluids in crustal systems, and computational methods to model these processes. Examples of processes include: nonlinear, time-dependent flow in porous rocks; coupling in porous rocks between fluid flow, stress, deformation, and heat and chemical transport; percolation of partial melt; diagenetic processes; pressure solution and the formation of stylolites; and transient pore pressure in fault zones. MATLAB, Lattice-Boltzmann, and COMSOL Multiphysics. Term project. No experience with COMSOL Multiphysics required. Offered every other year, winter quarter.

Field-, lab-, or computer-based. Faculty supervision. Written reports.