Masaki Hamada

I joined the lidar group in September of 2012 and completed a master's degree in Environmental Science in 2014. My thesis research project was to quantify the performance of the cross-correlation algorithm to derive vector flow fields from scanning aerosol lidar data. The project resulted in a peer-reviewed article in the Journal of Atmospheric and Oceanic Technology. I am currently (as of 2016) a lab instructor for Physics 202.

Publications

Hamada, M., P. Dérian, C. F. Mauzey, and S. D. Mayor, 2016: Optimization of the cross-correlation algorithm for two-component wind field estimation from single aerosol lidar data and comparison with Doppler lidar. J. Atmos. Ocean. Technol. 33, 81-101. PDF AMS

Hamada, M., 2014: Evaluations of the performance of a cross-correlation algorithm for wind velocity estimation using synthetic backscatter lidar images and velocity fields, Master of Science, Thesis, Environmental Science, California State University, Chico.

Hamada, M. and S. D. Mayor, 2014: Critical evaluation of the cross-correlation algorithm using synthetic backscatter images and synthetic wind velocity fields. Poster Presentation at the College of Natural Sciences Annual Poster Session. 30 April. Poster

Hamada, M., P. Dérian, and S. D. Mayor, 2013: Tests of the cross-correlation algorithm using synthetic backscatter lidar images and wind fields. Presentation A13G-0311 in Weather-Driven Renewable Energy Posters, American Geophysical Union (AGU) Fall Meeting, San Francisco, CA, 8-13 December. Poster

Hamada, M. and S. D. Mayor, 2013: Preliminary evaluation of the cross-correlation algorithm for determining 2-component wind vectors from synthetic atmospheric aerosol lidar data. Poster Presentation at the College of Natural Sciences Annual Poster Session. 3 May. Poster


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