Accurately modeling the depth of the surface mixed layer in the lee of the Hawaiian Islands is important to naval operations because the area hosts numerous training exercises. Providing an accurate picture of the environment aids naval operators in making important tactical decisions. This study evaluates the ability of the Hawaii Regional Navy Coastal Ocean Model to accurately predict the depth of the surface mixed layer in this complex, wake island environment. The model was compared to CTD data collected from sea gliders and tests for correlation were conducted. For mixed layer depths that did show correlation, match paired t tests were used to determine the significance of the correlations. It was determined that the Hawaii Regional Navy Coastal Ocean Model has difficulty accurately predicting the depth of the surface mixed layer, however, it does show considerable skill when compared to the results of alternate models. It was also determined that the model has difficulty with unusual oceanographic features such as mode water eddies. These features are too uncommon and short-lived to be depicted in the climatology data. This climatology data is a major component of the synthetic profiles that the model generates and these profiles tend to smooth out the unusual subsurface isothermal layer.
","abstract_html":"<p>Accurately modeling the depth of the surface mixed layer in the lee of the Hawaiian Islands is important to naval operations because the area hosts numerous training exercises. Providing an accurate picture of the environment aids naval operators in making important tactical decisions. This study evaluates the ability of the Hawaii Regional Navy Coastal Ocean Model to accurately predict the depth of the surface mixed layer in this complex, wake island environment. The model was compared to CTD data collected from sea gliders and tests for correlation were conducted. For mixed layer depths that did show correlation, match paired t tests were used to determine the significance of the correlations. It was determined that the Hawaii Regional Navy Coastal Ocean Model has difficulty accurately predicting the depth of the surface mixed layer, however, it does show considerable skill when compared to the results of alternate models. It was also determined that the model has difficulty with unusual oceanographic features such as mode water eddies. These features are too uncommon and short-lived to be depicted in the climatology data. This climatology data is a major component of the synthetic profiles that the model generates and these profiles tend to smooth out the unusual subsurface isothermal layer.</p>","abstract_has_math":false,"creators":["Rayburn, Jeffery Todd"],"institution":null,"degree_name":"Master of Science (MS)","degree_level":"Masters Thesis","degree_discipline":"Marine Science","degree_department":null,"school":null,"contributors":["Vladimir Kamenkovich","Dmitri Netchev","Chris Dehaan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-05-01T07:00:00Z","date_published":"2012-05-01T07:00:00Z","updated_at":"2026-07-24T05:45:06Z","subjects":["Oceanography and Atmospheric Sciences and Meteorology","Physical Sciences and Mathematics"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://aquila.usm.edu/masters_theses/542","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Vladimir Kamenkovich","Dmitri Netchev","Chris Dehaan"]},{"key":"dc:creator","label":"Author","values":["Rayburn, Jeffery Todd"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2018-11-16T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Marine Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Oceanography and Atmospheric Sciences and Meteorology","Physical Sciences and Mathematics"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://aquila.usm.edu/masters_theses/542"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Accurately modeling the depth of the surface mixed layer in the lee of the Hawaiian Islands is important to naval operations because the area hosts numerous training exercises. Providing an accurate picture of the environment aids naval operators in making important tactical decisions. This study evaluates the ability of the Hawaii Regional Navy Coastal Ocean Model to accurately predict the depth of the surface mixed layer in this complex, wake island environment. The model was compared to CTD data collected from sea gliders and tests for correlation were conducted. For mixed layer depths that did show correlation, match paired t tests were used to determine the significance of the correlations. It was determined that the Hawaii Regional Navy Coastal Ocean Model has difficulty accurately predicting the depth of the surface mixed layer, however, it does show considerable skill when compared to the results of alternate models. It was also determined that the model has difficulty with unusual oceanographic features such as mode water eddies. These features are too uncommon and short-lived to be depicted in the climatology data. This climatology data is a major component of the synthetic profiles that the model generates and these profiles tend to smooth out the unusual subsurface isothermal layer.
"]},{"key":"dc:title","label":"Title","values":["Comparison of the Observed Mixe Layer Depth in the Lee of the Hawaiian Island to the Modeled Mixed Layer Depth of the Regional Navy Coastal Ocean Model"]}]}],"canonical_facts":{"dc:contributor":["Vladimir Kamenkovich","Dmitri Netchev","Chris Dehaan"],"dc:creator":["Rayburn, Jeffery Todd"],"dc:date.available":["2018-11-16T08:00:00Z"],"dc:description.abstract":["Accurately modeling the depth of the surface mixed layer in the lee of the Hawaiian Islands is important to naval operations because the area hosts numerous training exercises. Providing an accurate picture of the environment aids naval operators in making important tactical decisions. This study evaluates the ability of the Hawaii Regional Navy Coastal Ocean Model to accurately predict the depth of the surface mixed layer in this complex, wake island environment. The model was compared to CTD data collected from sea gliders and tests for correlation were conducted. For mixed layer depths that did show correlation, match paired t tests were used to determine the significance of the correlations. It was determined that the Hawaii Regional Navy Coastal Ocean Model has difficulty accurately predicting the depth of the surface mixed layer, however, it does show considerable skill when compared to the results of alternate models. It was also determined that the model has difficulty with unusual oceanographic features such as mode water eddies. These features are too uncommon and short-lived to be depicted in the climatology data. This climatology data is a major component of the synthetic profiles that the model generates and these profiles tend to smooth out the unusual subsurface isothermal layer.
"],"dc:identifier":["https://aquila.usm.edu/masters_theses/542"],"dc:subject":["Oceanography and Atmospheric Sciences and Meteorology","Physical Sciences and Mathematics"],"dc:title":["Comparison of the Observed Mixe Layer Depth in the Lee of the Hawaiian Island to the Modeled Mixed Layer Depth of the Regional Navy Coastal Ocean Model"],"thesis:degree_discipline":["Marine Science"],"thesis:degree_level":["Masters Thesis"],"thesis:degree_name":["Master of Science (MS)"]},"updated_at":"2026-07-24T05:45:06Z"}