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Volume 9, issue 4 | Copyright
The Cryosphere, 9, 1721-1733, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 27 Aug 2015

Research article | 27 Aug 2015

Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies

T. Kaminski et al.
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Cited articles
Barnett, D. G.: A practical method of long-range ice forecasting for the north coast of Alaska, Part I, Technical Report TR-1, Fleet Weather Facility, Suitland, Maryland, 1976.
Brubaker, M., Berner, J., Chavan, R., and Warren, J.: Climate change and health effects in Northwest Alaska, Glob. Health Action, 4, 8445, 2011.
Castro-Morales, K., Kauker, F., Losch, M., Hendricks, S., Riemann-Campe, K., and Gerdes, R.: Sensitivity of simulated Arctic sea ice to realistic ice thickness distributions and snow parameterizations, J. Geophys. Res., 119, 559–571, 2014.
Drobot, S.: Long-range statistical forecasting of ice severity in the Beaufort-Chukchi Sea, Weather Forecast., 18, 1161–1176, 2003.
Publications Copernicus
Short summary
We present a quantitative network design study of the Arctic sea ice-ocean system. For a demonstration, we evaluate two idealised hypothetical flight transects derived from NASA’s Operation IceBridge airborne ice surveys in terms of their potential to improve 10-day to 5-month sea ice forecasts. Our analysis quantifies the benefits of sampling upstream of the target area and of reducing the sampling uncertainty. It further quantifies the complementarity of combining two flight transects.
We present a quantitative network design study of the Arctic sea ice-ocean system. For a...