Articles | Volume 16, issue 8
https://doi.org/10.5194/tc-16-3235-2022
https://doi.org/10.5194/tc-16-3235-2022
Research article
 | 
12 Aug 2022
Research article |  | 12 Aug 2022

Improving model-satellite comparisons of sea ice melt onset with a satellite simulator

Abigail Smith, Alexandra Jahn, Clara Burgard, and Dirk Notz

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Seasonal transition dates can reveal biases in Arctic sea ice simulations
Abigail Smith, Alexandra Jahn, and Muyin Wang
The Cryosphere, 14, 2977–2997, https://doi.org/10.5194/tc-14-2977-2020,https://doi.org/10.5194/tc-14-2977-2020, 2020
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Cited articles

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Bliss, A. C., Miller, J. A., and Meier, W. N.: Comparison of passive microwave-derived early melt onset records on Arctic sea ice, Remote Sens., 9, 1–23, https://doi.org/10.3390/rs9030199, 2017. a, b
Bodas-Salcedo, A., M.J., W., Bony, S., Chepfer, H., Dufresne, J.-L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023–1043, https://doi.org/10.1175/2011BAMS2856.1, 2011. a
Burgard, C.: Read the Docs: Arctic Ocean Observation Operator, arc3o, https://arc3o.readthedocs.io/en/latest/ (last access: October 2021), 2020. a
Burgard, C., Notz, D., Pedersen, L. T., and Tonboe, R. T.: The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output, The Cryosphere, 14, 2369–2386, https://doi.org/10.5194/tc-14-2369-2020, 2020a. a, b, c, d, e, f, g, h, i
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Short summary
The timing of Arctic sea ice melt each year is an important metric for assessing how sea ice in climate models compares to satellite observations. Here, we utilize a new tool for creating more direct comparisons between climate model projections and satellite observations of Arctic sea ice, such that the melt onset dates are defined the same way. This tool allows us to identify climate model biases more clearly and gain more information about what the satellites are observing.
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