Spectral analysis of ship-based eddy covariance data
| dc.contributor.author | Rui, Zhang | |
| dc.contributor.examiningcommittee | Cai, Jun (Electrical and Computer Engineering) Ehn, Jens (Environment and Geography) | en_US |
| dc.contributor.supervisor | Thomas, Gabriel (Electrical and Computer Engineering) Papakyriakou, Tim (Environment and Geography) | en_US |
| dc.date.accessioned | 2016-09-14T12:37:48Z | |
| dc.date.available | 2016-09-14T12:37:48Z | |
| dc.date.issued | 2016 | |
| dc.degree.discipline | Electrical and Computer Engineering | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| dc.description.abstract | Because of complications associated with ship motion and airflow distortion, eddy covariance (EC) from ships has not seen widespread application. In 2011, high frequency (10 Hz) measurements of three-dimensional wind velocity, temperature, CO2 and humidity and slow response sensors recording air temperature, humidity, wind speed/direction, surface temperature were deployed on a tower installed on the foredeck of the research ice breaker CCGS Amundsen to characterize the surface fluxes within the Canadian Arctic Archipelago. The ensemble averaged co-spectra for wind, temperature and CO2 showed general agreements evaluated against theoretical curves (Kaimal et al. 1972). Port- and starboard-side co-spectra appear to follow the theoretical curves while an over-estimation was seen at high frequencies for winds coming over the bow. Fluxes were also compared against modern parameterizations for CO¬2, heat and momentum exchange for open water environments. The range of EC momentum and sensible fluxes looks reasonable while CO2 flux exhibits uncertainties. | en_US |
| dc.description.note | October 2016 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/31743 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.subject | Eddy covariance, Spectral analysis, Motion correction, Flow distortion | en_US |
| dc.title | Spectral analysis of ship-based eddy covariance data | en_US |
| dc.type | master thesis | en_US |