Thickness distribution of Antarctic sea ice

Ship‐based observations are used to describe regional and seasonal changes in the thickness distribution and characteristics of sea ice and snow cover thickness around Antarctica. The data set comprises 23,373 observations collected over more than 2 decades of activity and has been compiled as part...

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Published in:	Journal of Geophysical Research - Oceans Vol. 113; no. C5; pp. C05S92 - n/a
Main Authors:	Worby, Anthony P., Geiger, Cathleen A., Paget, Matthew J., Van Woert, Michael L., Ackley, Stephen F., DeLiberty, Tracy L.
Format:	Journal Article
Language:	English
Published:	Washington, DC American Geophysical Union 01-05-2008 Blackwell Publishing Ltd
Subjects:	Antarctic Antarctica Cryosphere Distribution Earth sciences Earth, ocean, space Exact sciences and technology Geographic Location History of Geophysics Marine Sea ice thickness distribution Antarctic Ocean polar regions Antarctica PS, Antarctica Antarctic sea ice thickness distribution Structure function models maps thickness Regional scope topography climate variability Long term continents Snow cover programs standard deviation statistics
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Abstract	Ship‐based observations are used to describe regional and seasonal changes in the thickness distribution and characteristics of sea ice and snow cover thickness around Antarctica. The data set comprises 23,373 observations collected over more than 2 decades of activity and has been compiled as part of the Scientific Committee on Antarctic Research (SCAR) Antarctic Sea Ice Processes and Climate (ASPeCt) program. The results show the seasonal progression of the ice thickness distribution for six regions around the continent together with statistics on the mean thickness, surface ridging, snow cover, and local variability for each region and season. A simple ridge model is used to calculate the total ice thickness from the observations of level ice and surface topography, to provide a best estimate of the total ice mass, including the ridged component. The long‐term mean and standard deviation of total sea ice thickness (including ridges) is reported as 0.87 ± 0.91 m, which is 40% greater than the mean level ice thickness of 0.62 m. Analysis of the structure function along north/south and east/west transects revealed lag distances over which sea ice thickness decorrelates to be of the order of 100–300 km, which we use as a basis for presenting near‐continuous maps of sea ice and snow cover thickness plotted on a 2.5° × 5.0° grid.
AbstractList	Ship‐based observations are used to describe regional and seasonal changes in the thickness distribution and characteristics of sea ice and snow cover thickness around Antarctica. The data set comprises 23,373 observations collected over more than 2 decades of activity and has been compiled as part of the Scientific Committee on Antarctic Research (SCAR) Antarctic Sea Ice Processes and Climate (ASPeCt) program. The results show the seasonal progression of the ice thickness distribution for six regions around the continent together with statistics on the mean thickness, surface ridging, snow cover, and local variability for each region and season. A simple ridge model is used to calculate the total ice thickness from the observations of level ice and surface topography, to provide a best estimate of the total ice mass, including the ridged component. The long‐term mean and standard deviation of total sea ice thickness (including ridges) is reported as 0.87 ± 0.91 m, which is 40% greater than the mean level ice thickness of 0.62 m. Analysis of the structure function along north/south and east/west transects revealed lag distances over which sea ice thickness decorrelates to be of the order of 100–300 km, which we use as a basis for presenting near‐continuous maps of sea ice and snow cover thickness plotted on a 2.5° × 5.0° grid. Ship-based observations are used to describe regional and seasonal changes in the thickness distribution and characteristics of sea ice and snow cover thickness around Antarctica. The data set comprises 23,373 observations collected over more than 2 decades of activity and has been compiled as part of the Scientific Committee on Antarctic Research (SCAR) Antarctic Sea Ice Processes and Climate (ASPeCt) program. The results show the seasonal progression of the ice thickness distribution for six regions around the continent together with statistics on the mean thickness, surface ridging, snow cover, and local variability for each region and season. A simple ridge model is used to calculate the total ice thickness from the observations of level ice and surface topography, to provide a best estimate of the total ice mass, including the ridged component. The long-term mean and standard deviation of total sea ice thickness (including ridges) is reported as 0.87 plus or minus 0.91 m, which is 40% greater than the mean level ice thickness of 0.62 m. Analysis of the structure function along north/south and east/west transects revealed lag distances over which sea ice thickness decorrelates to be of the order of 100-300 km, which we use as a basis for presenting near-continuous maps of sea ice and snow cover thickness plotted on a 2.5 degree 5.0 degree grid. Ship-based observations are used to describe regional and seasonal changes in the thickness distribution and characteristics of sea ice and snow cover thickness around Antarctica. The data set comprises 23,373 observations collected over more than 2 decades of activity and has been compiled as part of the Scientific Committee on Antarctic Research (SCAR) Antarctic Sea Ice Processes and Climate (ASPeCt) program. The results show the seasonal progression of the ice thickness distribution for six regions around the continent together with statistics on the mean thickness, surface ridging, snow cover, and local variability for each region and season. A simple ridge model is used to calculate the total ice thickness from the observations of level ice and surface topography, to provide a best estimate of the total ice mass, including the ridged component. The long-term mean and standard deviation of total sea ice thickness (including ridges) is reported as 0.87 Delta #+ 0.91 m, which is 40% greater than the mean level ice thickness of 0.62 m. Analysis of the structure function along north/south and east/west transects revealed lag distances over which sea ice thickness decorrelates to be of the order of 100 - 300 km, which we use as a basis for presenting near-continuous maps of sea ice and snow cover thickness plotted on a 2.5 deg x 5.0 deg grid. Ship-based observations are used to describe regional and seasonal changes in the thickness distribution and characteristics of sea ice and snow cover thickness around Antarctica. The data set comprises 23,373 observations collected over more than 2 decades of activity and has been compiled as part of the Scientific Committee on Antarctic Research (SCAR) Antarctic Sea Ice Processes and Climate (ASPeCt) program. The results show the seasonal progression of the ice thickness distribution for six regions around the continent together with statistics on the mean thickness, surface ridging, snow cover, and local variability for each region and season. A simple ridge model is used to calculate the total ice thickness from the observations of level ice and surface topography, to provide a best estimate of the total ice mass, including the ridged component. The long-term mean and standard deviation of total sea ice thickness (including ridges) is reported as 0.87 plus or minus 0.91 m, which is 40% greater than the mean level ice thickness of 0.62 m. Analysis of the structure function along north/south and east/west transects revealed lag distances over which sea ice thickness decorrelates to be of the order of 100 - 300 km, which we use as a basis for presenting near-continuous maps of sea ice and snow cover thickness plotted on a 2.5 deg x 5.0 deg grid.
Author	Paget, Matthew J. Worby, Anthony P. Ackley, Stephen F. DeLiberty, Tracy L. Geiger, Cathleen A. Van Woert, Michael L.
Author_xml	– sequence: 1 givenname: Anthony P. surname: Worby fullname: Worby, Anthony P. email: tony.worby@aurora.aad.gov.au organization: Australian Antarctic Division and Antarctic Climate and Ecosystems Cooperative Research Center, Kingston, Tasmania, Australia – sequence: 2 givenname: Cathleen A. surname: Geiger fullname: Geiger, Cathleen A. organization: Department of Geography, University of Delaware, Delaware, Newark, USA – sequence: 3 givenname: Matthew J. surname: Paget fullname: Paget, Matthew J. organization: Commonwealth Scientific and Industrial Research Organization, Canberra, ACT, Australia – sequence: 4 givenname: Michael L. surname: Van Woert fullname: Van Woert, Michael L. organization: Office of Polar Programs, National Science Foundation, Virginia, Arlington, USA – sequence: 5 givenname: Stephen F. surname: Ackley fullname: Ackley, Stephen F. organization: Department of Earth Science and Environmental Sciences, University of Texas at San Antonio, Texas, San Antonio, USA – sequence: 6 givenname: Tracy L. surname: DeLiberty fullname: DeLiberty, Tracy L. organization: Department of Geography, University of Delaware, Delaware, Newark, USA
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Publisher	American Geophysical Union Blackwell Publishing Ltd
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Snippet	Ship‐based observations are used to describe regional and seasonal changes in the thickness distribution and characteristics of sea ice and snow cover... Ship-based observations are used to describe regional and seasonal changes in the thickness distribution and characteristics of sea ice and snow cover...
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SubjectTerms	Antarctic Antarctica Cryosphere Distribution Earth sciences Earth, ocean, space Exact sciences and technology Geographic Location History of Geophysics Marine Sea ice thickness distribution
Title	Thickness distribution of Antarctic sea ice
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