ESE 103. Earth's Biogeochemical Cycles. 9 units (3-0-6); second term, 2021-22. provide a basic introduction to Global Biogeochemical cycles, with a focus on drivers of the global biosphereFor course description, see Computer Science.. Topics to be covered include fundamentals of photosynthesis and its quantitative formulation, impact of nutrients, microbial processes underlying weathering, decomposition, and carbon remineralization, box modeling, hydrological cycle, land surface energy balance and basics of land surface modeling, ecosystem processes and the human footprint. Scripting (Matlab) knowledge useful for homework sets.
Instructor: Staff

ESE 104. Current Problems in Environmental Science and Engineering. 1 unit; first term, 2021-22. Discussion of current research by ESE graduate students, faculty, and staff.
Instructor: Staff

ESE 156. Remote Sensing of the Atmosphere and Biosphere. 9 units (3-0-6); first term, 2021-22. Prerequisites: ESE 101 or instructor's permission. An introduction into methods to quantify trace gases as well as vegetation properties remotely (from space, air-borne or ground-based). This course will provide the basic concepts of remote sensing, using hands-on examples to be solved in class and as problem-sets. Topics covered include Absorption spectroscopy, measurement and modeling techniques, optimal estimation theory and error characterization, applications in global studies of biogeochemical cycles and air pollution/quality. This course is complementary to EE/Ae 157ab and Ge/EE/ESE 157c with stronger emphasis on applications for the atmosphere and biosphere. Students will work with real and synthetic remote sensing data (basic knowledge of a scripting language is advantageous, most of the examples will be in Julia). Not offered 2021-2022.
Instructor: Frankenberg

ESE 103. Earth's Biogeochemical Cycles. 9 units (3-0-6); second term, 2020-21. Global cycles of carbon, nitrogen and sulfur. Photosynthesis, respiration and net primary production. Soil formation, erosion, and carbon storage. Ecosystem processes, metrics, and function. Nutrient supply and limitation. Microbial processes underlying weathering, decomposition, and carbon remineralization. Stable isotope tracers in the carbon and hydrologic cycles. The human footprint on the Earth.
Instructor: Frankenberg

ESE 104. Current Problems in Environmental Science and Engineering. 1 unit; first term, 2020-21. Discussion of current research by ESE graduate students, faculty, and staff.
Instructor: Frankenberg

ESE 156. Remote Sensing of the Atmosphere and Biosphere. 9 units (3-0-6); first term, 2020-21. An introduction into methods to quantify trace gases as well as vegetation properties remotely (from space, air-borne or ground-based). This course will provide the basic concepts of remote sensing, using hands-on examples to be solved in class and as problem-sets. Topics covered include: Absorption spectroscopy, measurement and modeling techniques, optimal estimation theory and error characterization, applications in global studies of biogeochemical cycles and air pollution/quality. This course is complementary to EE/Ae 157ab and Ge/EE/ESE 157c with stronger emphasis on applications for the atmosphere and biosphere. Students will work with real and synthetic remote sensing data (basic knowledge of Python advantageous, will make use of Jupyter notebooks extensively).
Instructor: Frankenberg

ESE 103. Earth's Biogeochemical Cycles. 9 units (3-0-6); second term, 2019-20. Global cycles of carbon, nitrogen and sulfur. Photosynthesis, respiration and net primary production. Soil formation, erosion, and carbon storage. Ecosystem processes, metrics, and function. Nutrient supply and limitation. Microbial processes underlying weathering, decomposition, and carbon remineralization. Stable isotope tracers in the carbon and hydrologic cycles. The human footprint on the Earth.
Instructor: Frankenberg

ESE 156. Remote Sensing of the Atmosphere and Biosphere. 9 units (3-0-6); first term, 2019-20. An introduction into methods to quantify trace gases as well as vegetation properties remotely (from space, air-borne or ground-based). This course will provide the basic concepts of remote sensing, using hands-on examples to be solved in class and as problem-sets. Topics covered include: Absorption spectroscopy, measurement and modeling techniques, optimal estimation theory and error characterization, applications in global studies of biogeochemical cycles and air pollution/quality. This course is complementary to EE/Ae 157ab and Ge/EE/ESE 157c with stronger emphasis on applications for the atmosphere and biosphere. Students will work with real and synthetic remote sensing data (basic knowledge of Python advantageous, will make use of Jupyter notebooks extensively).
Instructor: Frankenberg