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  Retrievals of Arctic sea-ice volume and its trend significantly affected by interannual snow variability

Bunzel, F., Notz, D., & Pedersen, L. T. (2018). Retrievals of Arctic sea-ice volume and its trend significantly affected by interannual snow variability. Geophysical Research Letters, 45, 11751-11759. doi:10.1029/2018GL078867.

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 Urheber:
Bunzel, Felix1, Autor           
Notz, Dirk1, Autor           
Pedersen, Leif Toudal, Autor
Affiliations:
1Max Planck Research Group The Sea Ice in the Earth System, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society, ou_913554              

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 Zusammenfassung: We estimate the uncertainty of satellite-retrieved Arctic sea-ice thickness, sea-ice volume, and their trends stemming from the lack of reliable snow-thickness observations. To do so, we simulate a Cryosat2-type ice-thickness retrieval in an ocean-model simulation forced by atmospheric reanalysis, pretending that only freeboard is known as model output. We then convert freeboard to sea-ice thickness using different snow climatologies and compare the resulting sea-ice thickness retrievals to each other and to the real sea-ice thickness of the reanalysis-forced simulation. We find that different snow climatologies cause significant differences in the obtained ice thickness and ice volume. In addition, we show that Arctic ice-volume trends derived from ice-thickness retrievals using any snow-depth climatology are highly unreliable because the estimated trend in ice volume can strongly be influenced by the neglected interannual variability in snow volume. ©2018. American Geophysical Union. All Rights Reserved.

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Sprache(n): eng - English
 Datum: 20162018-102018-112018-11
 Publikationsstatus: Erschienen
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1029/2018GL078867
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Titel: Geophysical Research Letters
  Kurztitel : GRL
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Washington, D.C. : American Geophysical Union
Seiten: - Band / Heft: 45 Artikelnummer: - Start- / Endseite: 11751 - 11759 Identifikator: ISSN: 0094-8276
CoNE: https://pure.mpg.de/cone/journals/resource/954925465217