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Schmidt, Sebastian Associate Professor

Positions

Research Areas research areas

Research

research overview

  • Sebastian Schmidt works on atmospheric remote sensing and radiative energy budget studies from aircraft, space, and the ground. He specializes in spectrally resolved measurements of shortwave radiation, three-dimensional radiative transfer calculations, and the design of instruments and sampling strategies for improving our understanding of the radiative processes in complex scenes. Currently, he and his group are working on spectral retrieval algorithms for cloud-aerosol layers, trace gases, as well as on new hardware for airborne irradiance measurements. He is involved with all aspects of aircraft field experiments from proposal development to conducting field operations. His graduate students participate in instrument and algorithm development and travel to field deployments. Sebastian Schmidt is the lead of Airborne Science within the CU LASP Atmospheric Radiation Group.

keywords

  • atmospheric remote sensing, aircraft instrumentation, airborne satellite validation, atmospheric radiation science, cloud remote sensing, aerosol remote sensing, radiation energy budget, UAS/UAV instrumentation, aircraft experiments for climate and weather research

Publications

selected publications

Teaching

courses taught

  • ASEN 5235 - Introduction to Atmospheric Radiative Transfer and Remote Sensing
    Primary Instructor - Spring 2018 / Spring 2019
    Examines fundamentals of radiative transfer and remote sensing with primary emphasis on the Earth's atmosphere; emission, absorption and scattering by molecules and particles; multiple scattering; polarization; radiometry and photometry; principles of inversion theory; extinction- and emission-based passive remote sensing; principles of active remote sensing; lidar and radar; additional applications such as the greenhouse effect and Earth's radiative energy budget. Recommended prerequisite: one year of calculus-based physics and math up through differential equations. Same as ATOC 5235.
  • ATOC 4500 - Special Topics in Atmospheric and Oceanic Sciences - Upper Division
    Primary Instructor - Fall 2018
    Acquaints students at the upper division level with current research in atmospheres, oceans, and climate. Topics may vary each semester. May be repeated up to 18 total credit hours within the degree as long as the topic is different. Students may register for more than one section of this course in the same semester. Recommended prerequisites and corequisites: will vary depending on topic. Recommended restriction: students with 57-180 credits (Juniors or Seniors).
  • ATOC 4815 - Scientific Programming, Data Analysis and Visualization Laboratory
    Primary Instructor - Fall 2019
    Teaches programming in python, as well as analysis skills for accessing, analyzing and visualizing data that are commonly used in the atmospheric and oceanic sciences. Basic data analysis includes curve fitting and re-gridding/aggregation of satellite observations or meteorological data for global climatologies. The course content is primarily conveyed through hands-on code development. A final project, involving the independent analysis and visualization of a scientific data set, integrates skills acquired throughout the course. Recommended requisites: prior experience with Python or a basic programming course such as CSCI 1300 or equivalent, basic knowledge of calculus and algebra.
  • ATOC 5235 - Introduction to Atmospheric Radiative Transfer and Remote Sensing
    Primary Instructor - Spring 2018 / Spring 2019
    Examines fundamentals of radiative transfer and remote sensing with primary emphasis on the Earth's atmosphere; emission, absorption and scattering by molecules and particles; multiple scattering; polarization; radiometry and photometry; principles of inversion theory; extinction- and emission-based passive remote sensing; principles of active remote sensing; lidar and radar; additional applications such as the greenhouse effect and Earth's radiative energy budget. ATOC graduate core course. Department enforced prerequisites: one year of calculus-based physics, and math up through differential equations. Same as ASEN 5235.
  • ATOC 5815 - Scientific Programming, Data Analysis and Visualization Laboratory
    Primary Instructor - Fall 2019
    Teaches programming in python, as well as analysis skills for accessing, analyzing and visualizing data that are commonly used in the atmospheric and oceanic sciences. Basic data analysis includes curve fitting and re-gridding/aggregation of satellite observations or meteorological data for global climatologies. The course content is primarily conveyed through hands-on code development. A final project, involving the independent analysis and visualization of a scientific data set, integrates skills acquired throughout the course.
  • ATOC 6020 - Seminar in Atmospheric and Oceanic Sciences
    Primary Instructor - Spring 2018 / Fall 2018 / Spring 2019 / Fall 2019
    Studies an area of current research in the atmospheric and oceanic sciences. Students read selected papers from the literature. Students and faculty give presentations and participate in discussions. May be repeated for a total of 6 credit hours within the degree. May be repeated for a total of 3 credit hours within a semester.
  • ATOC 7500 - Special Topics in Atmospheric and Oceanic Sciences
    Primary Instructor - Fall 2018
    Acquaints students with current research in atmospheres, oceans, and climate. Topics may vary each semester. May be repeated up to 9 total credit hours. Students may register for more than one section of this course in the same semester.

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