Articles | Volume 9, issue 4
The Cryosphere, 9, 1721–1733, 2015
https://doi.org/10.5194/tc-9-1721-2015
The Cryosphere, 9, 1721–1733, 2015
https://doi.org/10.5194/tc-9-1721-2015
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, https://doi.org/10.3402/gha.v4i0.8445 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.
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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.