2026-09-22T01:16:40Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/104808 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Made available in DSpace on 2019-08-23T19:51:48Z (GMT). No. of bitstreams: 4 CHU-THESIS-2019.pdf: 4866560 bytes, checksum: 017305d631eda57a27d64bc0c65b2b55 (MD5) LICENSE.txt: 4209 bytes, checksum: de0418cfda74c8bb803da2fe0b0b3c9c (MD5) RightsLink Printable License Elsevier.pdf: 199071 bytes, checksum: 26f06cdce312c0fc40de5af04d36115a (MD5) RightsLink Printable License Springer Nature.pdf: 177121 bytes, checksum: 8c5a0e8a2a7adfc04f7b940532324844 (MD5) Previous issue date: 2019-04-11 application/pdf http://hdl.handle.net/2142/104808 en Copyright 2019 Kristina Chu Thermospheric wind Fabry-Perot Interferometer (FPI) Airglow Horizontal Wind Model Tidal analysis of modeled thermospheric winds to improve agreement with measurements over South Africa Makela, Jonathan J. Chu, Kristina 2019-08-23T19:51:48Z 2019-08-23T19:51:48Z 2019-04-11 2019-05 This thesis presents studies of thermospheric winds obtained using ground-based Fabry-Perot interferometers (FPIs). Using data from four different sites across the globe, we evaluate the performance of the Horizontal Wind Model (HWM) at each location, focusing on a new FPI recently deployed to South Africa. Through this analysis, we find that the model is able to better represent winds at or near locations where the model was constrained by data during its development. For those locations far from any model constraints, there is an apparent phase shift between model and data. This finding is particularly apparent for all months of data collected from South Africa. We describe a method to reduce these differences between model and data by extracting the diurnal, semidiurnal, and terdiurnal tidal components from the model output and shifting the phase of the terdiurnal tide so that model output better represents the data. This method is applied to the model output at four different sites, and the improvement in fit, quantified by the Taylor diagram distance, is discussed. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-08-22 without embargo terms The student, Kristina Chu, accepted the attached license on 2019-04-11 at 14:14. The student, Kristina Chu, submitted this Thesis for approval on 2019-04-11 at 14:35. This Thesis was approved for publication on 2019-04-11 at 18:16. DSpace SAF Submission Ingestion Package generated from Vireo submission #13570 on 2019-08-22 at 14:42:55 text text Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Thesis M.S.