Modeling Sea Ice

Golden, Kenneth M.; Bennetts, Luke G.; Cherkaev, Elena; Eisenman, Ian; Feltham, D. L.; Horvat, Christopher; Hunke, Elizabeth; Jones, C.J.C.; Perovich, Donald K.; Ponte-Castaneda, Pedro; Strong, Courtenay; Sulsky, Deborah; Wells, Andrew

doi:10.1090/noti2171

Cited by 26 publications

(25 citation statements)

References 17 publications

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“…Our inability to accurately capture climatological changes of sea ice in the polar seas has created renewed interest in the dynamic interaction between sea ice and waves. This has resulted in the last few years in a number of studies that investigate the coupling between sea ice and the ocean through theoretical considerations [1][2][3][4][5][6][7], laboratory experiments [8][9][10][11][12], and field experiments [13][14][15][16][17][18][19][20][21][22][23][24]. Despite the advances that these studies bring, there is a growing consensus that further progress in the field can only be achieved through the collection of more observations of waves in ice.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the advances that these studies bring, there is a growing consensus that further progress in the field can only be achieved through the collection of more observations of waves in ice. In particular, phenomena related to floe size distribution [4,[25][26][27], energy dissipation due to turbulence and collisions [28][29][30][31], and sea ice breakup [32][33][34][35] are still imperfectly modeled and understood, and advancing the state-of-the-art would require additional direct observations from the ice.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

OpenMetBuoy-v2021: An Easy-to-Build, Affordable, Customizable, Open-Source Instrument for Oceanographic Measurements of Drift and Waves in Sea Ice and the Open Ocean

et al. 2022

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There is a wide consensus within the polar science, meteorology, and oceanography communities that more in situ observations of the ocean, atmosphere, and sea ice are required to further improve operational forecasting model skills. Traditionally, the volume of such measurements has been limited by the high cost of commercially available instruments. An increasingly attractive solution to this cost issue is to use instruments produced in-house from open-source hardware, firmware, and postprocessing building blocks. In the present work, we release the next iteration of the open-source drifter and wave-monitoring instrument of Rabault et al. (see “An open source, versatile, affordable waves in ice instrument for scientific measurements in the Polar Regions”, Cold Regions Science and Technology, 2020), which follows these solution aspects. The new design is significantly less expensive (typically by a factor of 5 compared with our previous, already cost-effective instrument), much easier to build and assemble for people without specific microelectronics and programming competence, more easily extendable and customizable, and two orders of magnitude more power-efficient (to the point where solar panels are no longer needed even for long-term deployments). Improving performance and reducing noise levels and costs compared with our previous generation of instruments is possible in large part thanks to progress from the electronics component industry. As a result, we believe that this will allow scientists in geosciences to increase by an order of magnitude the amount of in situ data they can collect under a constant instrumentation budget. In the following, we offer (1) a detailed overview of our hardware and software solution, (2) in situ validation and benchmarking of our instrument, (3) a fully open-source release of both hardware and software blueprints. We hope that this work, and the associated open-source release, will be a milestone that will allow our scientific fields to transition towards open-source, community-driven instrumentation. We believe that this could have a considerable impact on many fields by making in situ instrumentation at least an order of magnitude less expensive and more customizable than it has been for the last 50 years, marking the start of a new paradigm in oceanography and polar science, where instrumentation is an inexpensive commodity and in situ data are easier and less expensive to collect.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

OpenMetBuoy-v2021: An Easy-to-Build, Affordable, Customizable, Open-Source Instrument for Oceanographic Measurements of Drift and Waves in Sea Ice and the Open Ocean

et al. 2022

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“…The sea ice and climate communities are showing increasing recognition of the MIZ as a crucial component of the ice-covered ocean [24,25], and that it is likely to play a key role in the responses of Arctic and Antarctic ice covers to climate change [26]. However, the MIZ is yet to have a substantial influence on the IPCC's findings.…”

Section: Pathways To Influence Climate Assessmentsmentioning

confidence: 99%

Marginal ice zone dynamics: future research perspectives and pathways

Bennetts

Bitz

Feltham

et al. 2022

Phil. Trans. R. Soc. A.

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Perspectives are discussed on future directions for the field of marginal ice zone (MIZ) dynamics, based on the extraordinary progress made over the past decade in its theory, modelling and observations. Research themes are proposed that would shift the field’s focus towards the broader implications of MIZ dynamics in the climate system. In particular, pathways are recommended for research that highlights the impacts of trends in the MIZ on the responses of Arctic and Antarctic sea ice to climate change. This article is part of the theme issue ‘Theory, modelling and observations of marginal ice zone dynamics: multidisciplinary perspectives and outlooks’.

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“…The evolution of sea ice has attracted much attention in climate science due to its role as a hot spot in global warming. The state of the art concerning the modeling of sea ice is described in the very recent survey article [15] in the Notices of the American Mathematical Society.…”

Section: Introductionmentioning

confidence: 99%

Rigorous Analysis and Dynamics of Hibler's sea ice model

Brandt,

Disser,

Haller-Dintelmann

et al. 2021

Preprint

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This article develops for the first time a rigorous analysis of Hibler's model of sea ice dynamics. Identifying Hibler's ice stress as a quasilinear second order operator and regarding Hibler's model as a quasilinear evolution equation, it is shown that Hibler's coupled sea ice model, i.e., the model coupling velocity, thickness and compactness of sea ice, is locally strongly well-posed within the Lq-setting and also globally strongly well-posed for initial data close to constant equilibria.

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Modeling Sea Ice

Cited by 26 publications

References 17 publications

OpenMetBuoy-v2021: An Easy-to-Build, Affordable, Customizable, Open-Source Instrument for Oceanographic Measurements of Drift and Waves in Sea Ice and the Open Ocean

OpenMetBuoy-v2021: An Easy-to-Build, Affordable, Customizable, Open-Source Instrument for Oceanographic Measurements of Drift and Waves in Sea Ice and the Open Ocean

Marginal ice zone dynamics: future research perspectives and pathways

Rigorous Analysis and Dynamics of Hibler's sea ice model

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