Shane Mayor

 ShaneD. Mayor

Shane D. Mayor

  • Courses3
  • Reviews11
May 4, 2018
N/A
Textbook used: Yes
Would take again: No
For Credit: Yes

0
0


Mandatory



Difficulty
Clarity
Helpfulness

Poor

He's a poor teacher. He moves through the material quickly and will goes off on tangents. His test are hard. pay attention to fine details if you want to get a good grade.

May 21, 2020
N/A
Textbook used: Yes
Would take again: Yes
For Credit: Yes

0
0


Not Mandatory



Difficulty
Clarity
Helpfulness

Good

Professor Mayor is passionate about his field of study and makes the class interesting. He's very responsive and makes himself available to answer questions when needed. Always do the reading to prepare for weekly quizzes. Also, you get two points for each day you attend class, which is very helpful. I definitely recommend taking him for meteorology.

May 6, 2020
N/A
Textbook used: Yes
Would take again: No
For Credit: Yes

0
0


Mandatory



Difficulty
Clarity
Helpfulness

Poor

Professor Mayor is a nice person. However, he's a horrible lecturer. He zooms through slideshows and doesn't slow down to explain the topics. He often goes off topic and then we run out of time. The quizzes and exams were difficult as well. But, as long as you keep up with the homework and pay attention, then you'll pass.

Biography

California State University Chico - Geological Sciences

Associate Professor at California State University, Chico
Higher Education
Shane
Mayor
Chico, California
I develop and apply lidars to challenges in the atmospheric sciences. Since 2001, I have been focused on the development and application of the Raman-shifted Eye-safe Aerosol Lidar (REAL). Since 2008, my team at CSU Chico and I have been deriving vector flow fields from the horizontal image sequences and atmospheric boundary layer height from the vertical scans. We are also using the images produced by the REAL to study coherent flow structures in the micro- and meso- meteorological scales including vortices, fine-scale gravity waves, and density current fronts. Finally, we take every opportunity possible to improve the performance and reliability of the instrument in order to make these observations.


Experience

  • California State University, Chico

    Associate Professor

    I support curricula in Environmental Sciences at CSU Chico by teaching a wide variety of courses including meteorology at many levels, renewable energy, environmental fluid mechanics, Earth system science, computing in the geosciences, instrumentation, and boundary layer meteorology. I also strive to maintain research activity in the areas of atmospheric lidar and micrometeorology. My latest research involves internal gravity waves in stably stratified atmospheric boundary layers and the observation of two component wind fields from the application of motion estimation algorithms to scanning aerosol lidar imagery.

  • California State University, Chico

    Lecturer and Research Professor

    Principal investigator for NSF Grants 0924407, 1104342, and 1228464.

    Maintain the Raman-shifted Eye-safe Aerosol Lidar (REAL).

    Maintain a computer laboratory for data processing and analysis.

    Involve students in research.

    Teach undergraduate courses in atmospheric science.

  • National Center for Atmospheric Research

    Scientist

    Vitalized atmospheric lidar laboratory.

    Led development of the Raman-shifted Eye-safe Aerosol Lidar (REAL).

    Supported National Science Foundation field campaigns and goals.

    Conducted research in boundary layer meteorology.

Education

  • Millersville University of Pennsylvania

    B.S.

    Meteorology

  • University of Wisconsin-Madison

    Ph.D.

    Atmospheric & Oceanic Sciences
    Dissertation: Volume Imaging Lidar Observations and Large Eddy Simulations of Convective Internal Boundary Layers Ph.D. Advisor: Dr. Edwin W. Eloranta

  • Saint Louis University

    M.S.

    Meteorology
    NCAR Cooperative Master's Thesis: Evaluation of the NCAR Doppler Lidar and Applications to Measuring Boundary Layer Structure Advisor : Dr. Donald H. Lenschow

Publications

  • Optimization of the Cross-Correlation Algorithm for Two-Component Wind Field Estimation from Single Aerosol Lidar Data and Comparison with Doppler Lidar

    American Meteorological Society

  • Optimization of the Cross-Correlation Algorithm for Two-Component Wind Field Estimation from Single Aerosol Lidar Data and Comparison with Doppler Lidar

    American Meteorological Society

  • Comparison of an analog direct detection and a micropulse aerosol lidar at 1.xn--5-m-yyc wavelength for wind field observations—with first results over the ocean

    Journal of Applied Remote Sensing

  • Optimization of the Cross-Correlation Algorithm for Two-Component Wind Field Estimation from Single Aerosol Lidar Data and Comparison with Doppler Lidar

    American Meteorological Society

  • Comparison of an analog direct detection and a micropulse aerosol lidar at 1.xn--5-m-yyc wavelength for wind field observations—with first results over the ocean

    Journal of Applied Remote Sensing

  • Wavelet-based optical flow for two-component wind field estimation from single aerosol lidar data

    Journal of Atmospheric and Oceanic Technology/American Meteorological Society

    Volume 32, pages 1759-1778.

  • Optimization of the Cross-Correlation Algorithm for Two-Component Wind Field Estimation from Single Aerosol Lidar Data and Comparison with Doppler Lidar

    American Meteorological Society

  • Comparison of an analog direct detection and a micropulse aerosol lidar at 1.xn--5-m-yyc wavelength for wind field observations—with first results over the ocean

    Journal of Applied Remote Sensing

  • Wavelet-based optical flow for two-component wind field estimation from single aerosol lidar data

    Journal of Atmospheric and Oceanic Technology/American Meteorological Society

    Volume 32, pages 1759-1778.

  • Observations of microscale internal gravity waves in very stable atmospheric boundary layers over an orchard canopy

    Agricultural and Forest Meteorology

  • Optimization of the Cross-Correlation Algorithm for Two-Component Wind Field Estimation from Single Aerosol Lidar Data and Comparison with Doppler Lidar

    American Meteorological Society

  • Comparison of an analog direct detection and a micropulse aerosol lidar at 1.xn--5-m-yyc wavelength for wind field observations—with first results over the ocean

    Journal of Applied Remote Sensing

  • Wavelet-based optical flow for two-component wind field estimation from single aerosol lidar data

    Journal of Atmospheric and Oceanic Technology/American Meteorological Society

    Volume 32, pages 1759-1778.

  • Observations of microscale internal gravity waves in very stable atmospheric boundary layers over an orchard canopy

    Agricultural and Forest Meteorology

  • Comparison of aerosol backscatter and wind field estimates from REAL and SAMPLE

    SPIE

    SPIE paper number 9612-16 presented in San Diego, CA, on 13 August 2015

  • Optimization of the Cross-Correlation Algorithm for Two-Component Wind Field Estimation from Single Aerosol Lidar Data and Comparison with Doppler Lidar

    American Meteorological Society

  • Comparison of an analog direct detection and a micropulse aerosol lidar at 1.xn--5-m-yyc wavelength for wind field observations—with first results over the ocean

    Journal of Applied Remote Sensing

  • Wavelet-based optical flow for two-component wind field estimation from single aerosol lidar data

    Journal of Atmospheric and Oceanic Technology/American Meteorological Society

    Volume 32, pages 1759-1778.

  • Observations of microscale internal gravity waves in very stable atmospheric boundary layers over an orchard canopy

    Agricultural and Forest Meteorology

  • Comparison of aerosol backscatter and wind field estimates from REAL and SAMPLE

    SPIE

    SPIE paper number 9612-16 presented in San Diego, CA, on 13 August 2015

  • Two-component wind fields from single scanning aerosol lidar

    SPIE

    SPIE paper number 9612-13 presented in San Diego, CA, on 13 August 2015. This paper contains preliminary results of the NSF-funded deployment to the SAMPLE to the Eureka CA area in March, 2015.

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