On reconciling disparate studies of the sea-ice floe size distribution

The size distribution of sea-ice floes is an important descriptor of the sea-ice cover. Most studies report that floe sizes follow a power-law distribution over some size range, but the power-law exponents often differ substantially. Other studies report two power-law regimes over different size ran...

Full description

Bibliographic Details
Published in:Elementa: Science of the Anthropocene
Main Authors: Stern, Harry L., Schweiger, Axel J., Zhang, Jinlun, Steele, Michael
Other Authors: Deming, Jody W., Maksym, Ted
Format: Article in Journal/Newspaper
Language:English
Published: University of California Press 2018
Subjects:
Online Access:http://dx.doi.org/10.1525/elementa.304
http://online.ucpress.edu/elementa/article-pdf/doi/10.1525/elementa.304/471884/304-5345-1-pb.pdf
id crunicaliforniap:10.1525/elementa.304
record_format openpolar
spelling crunicaliforniap:10.1525/elementa.304 2024-09-09T20:07:10+00:00 On reconciling disparate studies of the sea-ice floe size distribution Stern, Harry L. Schweiger, Axel J. Zhang, Jinlun Steele, Michael Deming, Jody W. Maksym, Ted 2018 http://dx.doi.org/10.1525/elementa.304 http://online.ucpress.edu/elementa/article-pdf/doi/10.1525/elementa.304/471884/304-5345-1-pb.pdf en eng University of California Press http://creativecommons.org/licenses/by/4.0/ Elementa: Science of the Anthropocene volume 6 ISSN 2325-1026 journal-article 2018 crunicaliforniap https://doi.org/10.1525/elementa.304 2024-06-20T04:20:45Z The size distribution of sea-ice floes is an important descriptor of the sea-ice cover. Most studies report that floe sizes follow a power-law distribution over some size range, but the power-law exponents often differ substantially. Other studies report two power-law regimes over different size ranges, or more complicated behavior. We review the construction of power-law floe size distributions and compare the results of previous studies. Differences between studies may be due to spatial and temporal variability of the floe size distribution, sampling variability, inadequacy of the power-law model, or flaws in the mathematical analysis. For a power-law model, the most accurate method for determining the exponent from data is Maximum Likelihood Estimation; least-squares methods based on log-log plots of the data yield biased estimates. After calculating the power-law exponent from data, a goodness-of-fit test should be applied to determine whether or not the power-law model actually describes the distribution of the data. These analysis principles have been described in the literature but have not generally been applied to floe size distributions. Numerical ice-ocean models are beginning to simulate the floe size distribution, which should give further insight into the interpretation of observational studies. Article in Journal/Newspaper Sea ice University of California Press Elementa: Science of the Anthropocene 6
institution Open Polar
collection University of California Press
op_collection_id crunicaliforniap
language English
description The size distribution of sea-ice floes is an important descriptor of the sea-ice cover. Most studies report that floe sizes follow a power-law distribution over some size range, but the power-law exponents often differ substantially. Other studies report two power-law regimes over different size ranges, or more complicated behavior. We review the construction of power-law floe size distributions and compare the results of previous studies. Differences between studies may be due to spatial and temporal variability of the floe size distribution, sampling variability, inadequacy of the power-law model, or flaws in the mathematical analysis. For a power-law model, the most accurate method for determining the exponent from data is Maximum Likelihood Estimation; least-squares methods based on log-log plots of the data yield biased estimates. After calculating the power-law exponent from data, a goodness-of-fit test should be applied to determine whether or not the power-law model actually describes the distribution of the data. These analysis principles have been described in the literature but have not generally been applied to floe size distributions. Numerical ice-ocean models are beginning to simulate the floe size distribution, which should give further insight into the interpretation of observational studies.
author2 Deming, Jody W.
Maksym, Ted
format Article in Journal/Newspaper
author Stern, Harry L.
Schweiger, Axel J.
Zhang, Jinlun
Steele, Michael
spellingShingle Stern, Harry L.
Schweiger, Axel J.
Zhang, Jinlun
Steele, Michael
On reconciling disparate studies of the sea-ice floe size distribution
author_facet Stern, Harry L.
Schweiger, Axel J.
Zhang, Jinlun
Steele, Michael
author_sort Stern, Harry L.
title On reconciling disparate studies of the sea-ice floe size distribution
title_short On reconciling disparate studies of the sea-ice floe size distribution
title_full On reconciling disparate studies of the sea-ice floe size distribution
title_fullStr On reconciling disparate studies of the sea-ice floe size distribution
title_full_unstemmed On reconciling disparate studies of the sea-ice floe size distribution
title_sort on reconciling disparate studies of the sea-ice floe size distribution
publisher University of California Press
publishDate 2018
url http://dx.doi.org/10.1525/elementa.304
http://online.ucpress.edu/elementa/article-pdf/doi/10.1525/elementa.304/471884/304-5345-1-pb.pdf
genre Sea ice
genre_facet Sea ice
op_source Elementa: Science of the Anthropocene
volume 6
ISSN 2325-1026
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1525/elementa.304
container_title Elementa: Science of the Anthropocene
container_volume 6
_version_ 1809939925962850304