Data analysis and data assimilation of Arctic Ocean observations

Dissertation (Ph.D.) University of Alaska Fairbanks, 2019 Arctic-region observations are sparse and represent only a small portion of the physical state of nature. It is therefore essential to maximize the information content of observations and bservation-conditioned analyses whenever possible, inc...

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Main Author: Stroh, Jacob Nathaniel
Other Authors: Panteleev, Gleb, Mölders, Nicole, Weingartner, Thomas, Rhodes, John
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: 2019
Subjects:
IPY
Online Access:http://hdl.handle.net/11122/10542
id ftunivalaska:oai:scholarworks.alaska.edu:11122/10542
record_format openpolar
spelling ftunivalaska:oai:scholarworks.alaska.edu:11122/10542 2023-05-15T14:50:13+02:00 Data analysis and data assimilation of Arctic Ocean observations Stroh, Jacob Nathaniel Panteleev, Gleb Mölders, Nicole Weingartner, Thomas Rhodes, John 2019-05 http://hdl.handle.net/11122/10542 en_US eng http://hdl.handle.net/11122/10542 Department of Atmospheric Science Arctic Ocean observations ocean temperature salinity climatic changes rheology sea ice ocean currents Chukchi Sea Dissertation phd 2019 ftunivalaska 2023-02-23T21:37:31Z Dissertation (Ph.D.) University of Alaska Fairbanks, 2019 Arctic-region observations are sparse and represent only a small portion of the physical state of nature. It is therefore essential to maximize the information content of observations and bservation-conditioned analyses whenever possible, including the quantification of their accuracy. The four largely disparate works presented here emphasize observation analysis and assimilation in the context of the Arctic Ocean (AO). These studies focus on the relationship between observational data/products, numerical models based on physical processes, and the use of such data to constrain and inform those products/models to di_erent ends. The first part comprises Chapters 1 and 2 which revolve around oceanographic observations collected during the International Polar Year (IPY) program of 2007-2009. Chapter 1 validates pan- Arctic satellite-based sea surface temperature and salinity products against these data to establish important estimates of product reliability in terms of bias and bias-adjusted standard errors. It establishes practical regional reliability for these products which are often used in modeling and climatological applications, and provides some guidance for improving them. Chapter 2 constructs a gridded full-depth snapshot of the AO during the IPY to visually outline recent, previouslydocumented AO watermass distribution changes by comparing it to a historical climatology of the latter 20th century derived from private Russian data. It provides an expository review of literature documenting major AO climate changes and augments them with additional changes in freshwater distribution and sea surface height in the Chukchi and Bering Seas. The last two chapters present work focused on the application of data assimilation (DA) methodologies, and constitute the second part of this thesis focused on the synthesis of numerical modeling and observational data. Chapter 3 presents a novel approach to sea ice model trajectory optimization whereby ... Doctoral or Postdoctoral Thesis Arctic Arctic Ocean Chukchi Chukchi Sea International Polar Year IPY Sea ice Alaska University of Alaska: ScholarWorks@UA Arctic Arctic Ocean Chukchi Sea Fairbanks
institution Open Polar
collection University of Alaska: ScholarWorks@UA
op_collection_id ftunivalaska
language English
topic Arctic Ocean
observations
ocean temperature
salinity
climatic changes
rheology
sea ice
ocean currents
Chukchi Sea
spellingShingle Arctic Ocean
observations
ocean temperature
salinity
climatic changes
rheology
sea ice
ocean currents
Chukchi Sea
Stroh, Jacob Nathaniel
Data analysis and data assimilation of Arctic Ocean observations
topic_facet Arctic Ocean
observations
ocean temperature
salinity
climatic changes
rheology
sea ice
ocean currents
Chukchi Sea
description Dissertation (Ph.D.) University of Alaska Fairbanks, 2019 Arctic-region observations are sparse and represent only a small portion of the physical state of nature. It is therefore essential to maximize the information content of observations and bservation-conditioned analyses whenever possible, including the quantification of their accuracy. The four largely disparate works presented here emphasize observation analysis and assimilation in the context of the Arctic Ocean (AO). These studies focus on the relationship between observational data/products, numerical models based on physical processes, and the use of such data to constrain and inform those products/models to di_erent ends. The first part comprises Chapters 1 and 2 which revolve around oceanographic observations collected during the International Polar Year (IPY) program of 2007-2009. Chapter 1 validates pan- Arctic satellite-based sea surface temperature and salinity products against these data to establish important estimates of product reliability in terms of bias and bias-adjusted standard errors. It establishes practical regional reliability for these products which are often used in modeling and climatological applications, and provides some guidance for improving them. Chapter 2 constructs a gridded full-depth snapshot of the AO during the IPY to visually outline recent, previouslydocumented AO watermass distribution changes by comparing it to a historical climatology of the latter 20th century derived from private Russian data. It provides an expository review of literature documenting major AO climate changes and augments them with additional changes in freshwater distribution and sea surface height in the Chukchi and Bering Seas. The last two chapters present work focused on the application of data assimilation (DA) methodologies, and constitute the second part of this thesis focused on the synthesis of numerical modeling and observational data. Chapter 3 presents a novel approach to sea ice model trajectory optimization whereby ...
author2 Panteleev, Gleb
Mölders, Nicole
Weingartner, Thomas
Rhodes, John
format Doctoral or Postdoctoral Thesis
author Stroh, Jacob Nathaniel
author_facet Stroh, Jacob Nathaniel
author_sort Stroh, Jacob Nathaniel
title Data analysis and data assimilation of Arctic Ocean observations
title_short Data analysis and data assimilation of Arctic Ocean observations
title_full Data analysis and data assimilation of Arctic Ocean observations
title_fullStr Data analysis and data assimilation of Arctic Ocean observations
title_full_unstemmed Data analysis and data assimilation of Arctic Ocean observations
title_sort data analysis and data assimilation of arctic ocean observations
publishDate 2019
url http://hdl.handle.net/11122/10542
geographic Arctic
Arctic Ocean
Chukchi Sea
Fairbanks
geographic_facet Arctic
Arctic Ocean
Chukchi Sea
Fairbanks
genre Arctic
Arctic Ocean
Chukchi
Chukchi Sea
International Polar Year
IPY
Sea ice
Alaska
genre_facet Arctic
Arctic Ocean
Chukchi
Chukchi Sea
International Polar Year
IPY
Sea ice
Alaska
op_relation http://hdl.handle.net/11122/10542
Department of Atmospheric Science
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