printer friendly pageEESS 41N: The Global Warming Paradox (EARTHSYS 41N)
Preference to freshman. Focus is on the complex climate challenges posed by the substantial benefits of energy consumption, including the critical tension between the enormous global demand for increased human well-being and the negative climate consequences of large-scale emissions of carbon dioxide. Topics include: Earth¿s energy balance; detection and attribution of climate change; the climate response to enhanced greenhouse forcing; impacts of climate change on natural and human systems; and proposed methods for curbing further climate change. Sources include peer-reviewed scientific papers, current research results, and portrayal of scientific findings by the mass media and social networks.
Terms: Aut
|
Units: 3
|
Grading: Letter or Credit/No Credit
Instructors:
Diffenbaugh, N. (PI)
;
Singh, D. (TA)
EESS 101: Environmental and Geological Field Studies in the Rocky Mountains (EARTHSYS 100, GES 101)
Three-week, field-based program in the Greater Yellowstone/Teton and Wind River Mountains of Wyoming. Field-based exercises covering topics including: basics of structural geology and petrology; glacial geology; western cordillera geology; paleoclimatology; chemical weathering; aqueous geochemistry; and environmental issues such as acid mine drainage and changing land-use patterns.
Terms: Aut
|
Units: 3
|
Grading: Satisfactory/No Credit
Instructors:
Chamberlain, P. (PI)
EESS 105: Food and Community: New Visions for a Sustainable Future (EARTHSYS 105)
Service and research focused on providing healthy and environmentally friendly food for the under served in our community. Hands-on collaboration with the Stanford Glean student group, the Stanford Community Garden, and San Francisco nonprofits. Coverage of the broad spectrum from garden development to food dispersal to the needy. Design and implementation of projects that address an aspect of food and social justice, such as urban farming in low-income communities and sustainable food networks for the elderly. Service Learning Course (certified by Haas Center). Limited enrollment. May be repeated for credit.
Terms: Aut
|
Units: 3-5
|
Repeatable for credit
|
Grading: Satisfactory/No Credit
Instructors:
Chamberlain, P. (PI)
EESS 112: Human Society and Environmental Change (EARTHSYS 112, HISTORY 103D)
Interdisciplinary approaches to understanding human-environment interactions with a focus on economics, policy, culture, history, and the role of the state. Prerequisite:
ECON 1A
Terms: Aut
|
Units: 4
|
Grading: Letter or Credit/No Credit
EESS 117: Earth Sciences of the Hawaiian Islands (EARTHSCI 117, EARTHSYS 117)
Progression from volcanic processes through rock weathering and soil-ecosystem development to landscape evolution. The course starts with an investigation of volcanic processes, including the volcano structure, origin of magmas, physical-chemical factors of eruptions. Factors controlling rock weathering and soil development, including depth and nutrient levels impacting plant ecosystems, are explored next. Geomorphic processes of landscape evolution including erosion rates, tectonic/volcanic activity, and hillslope stability conclude the course. Methods for monitoring and predicting eruptions, defining spatial changes in landform, landform stability, soil production rates, and measuring biogeochemical processes are covered throughout the course. This course is restricted to students accepted into the Earth Systems of Hawaii Program.
Terms: Aut
|
Units: 4
|
Grading: Letter (ABCD/NP)
Instructors:
Fendorf, S. (PI)
;
Goodfellow, B. (PI)
;
Phillips, K. (PI)
EESS 141: Remote Sensing of the Oceans (EARTHSYS 141, EARTHSYS 241, EESS 241)
How to observe and interpret physical and biological changes in the oceans using satellite technologies. Topics: principles of satellite remote sensing, classes of satellite remote sensors, converting radiometric data into biological and physical quantities, sensor calibration and validation, interpreting large-scale oceanographic features.
Terms: Aut
|
Units: 3-4
|
UG Reqs: GER:DBNatSci
|
Grading: Letter or Credit/No Credit
Instructors:
Arrigo, K. (PI)
EESS 164: Fundamentals of Geographic Information Science (GIS) (EARTHSYS 144)
Survey of geographic information including maps, satellite imagery, and census data, approaches to spatial data, and tools for integrating and examining spatially-explicit data. Emphasis is on fundamental concepts of geographic information science and associated technologies. Topics include geographic data structure, cartography, remotely sensed data, statistical analysis of geographic data, spatial analysis, map design, and geographic information system software. Computer lab assignments.
Terms: Aut
|
Units: 4
|
UG Reqs: GER:DBNatSci
|
Grading: Letter or Credit/No Credit
Instructors:
Carbajales, P. (PI)
EESS 180B: Principles and Practices of Sustainable Agriculture (EARTHSYS 180B)
Field-based training in ecologically sound agricultural practices at the Stanford Community Farm. Weekly lessons, field work, and group projects. Field trips to educational farms in the area. Topics include: soils, composting, irrigation techniques, IPM, basic plant anatomy and physiology, weeds, greenhouse management, and marketing.
Terms: Aut, Spr
|
Units: 3-4
|
Repeatable for credit
|
Grading: Letter or Credit/No Credit
Instructors:
Archie, J. (PI)
EESS 208: Topics in Geobiology (GES 208)
Reading and discussion of classic and recent papers in the field of Geobiology. Co-evolution of Earth and life; critical intervals of environmental and biological change; geomicrobiology; paleobiology; global biogeochemical cycles; scaling of geobiological processes in space and time.
Terms: Aut
|
Units: 1
|
Repeatable for credit
|
Grading: Satisfactory/No Credit
Instructors:
Francis, C. (PI)
;
Payne, J. (PI)
EESS 211: Fundamentals of Modeling (EARTHSYS 211)
Simulation models are a powerful tool for environmental research, if used properly. The major concepts and techniques for building and evaluating models. Topics include model calibration, model selection, uncertainty and sensitivity analysis, and Monte Carlo and bootstrap methods. Emphasis is on gaining hands-on experience using the R programming language. Prerequisite: asic knowledge of statistics.
Terms: Aut
|
Units: 3-5
|
Grading: Letter or Credit/No Credit
Instructors:
Lobell, D. (PI)
Filter Results: