The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Overview of the MOSAiC expedition: Snow and sea ice
Open accessAbstract
Year-round observations of the physical snow and ice properties and processes that govern the ice pack evolution and its interaction with the atmosphere and the ocean were conducted during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition of the research vessel Polarstern in the Arctic Ocean from October 2019 to September 2020. This work was embedded into the interdisciplinary design of the 5 MOSAiC teams, studying the atmosphere, the sea ice, the ocean, the ecosystem, and biogeochemical processes. The overall aim of the snow and sea ice observations during MOSAiC was to characterize the physical properties of the snow and ice cover comprehensively in the central Arctic over an entire annual cycle. This objective was achieved by detailed observations of physical properties and of energy and mass balance of snow and ice. By studying snow and sea ice dynamics over nested spatial scales from centimeters to tens of kilometers, the variability across scales can be considered. On-ice observations of in situ and remote sensing properties of the different surface types over all seasons will help to improve numerical process and climate models and to establish and validate novel satellite remote sensing methods; the linkages to accompanying airborne measurements, satellite observations, and results of numerical models are discussed. We found large spatial variabilities of snow metamorphism and thermal regimes impacting sea ice growth. We conclude that the highly variable snow cover needs to be considered in more detail (in observations, remote sensing, and models) to better understand snow-related feedback processes. The ice pack revealed rapid transformations and motions along the drift in all seasons. The number of coupled ice–ocean interface processes observed in detail are expected to guide upcoming research with respect to the changing Arctic sea ice.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Microwave Radar and Radiometric Remote Sensing
Ulaby, F., & Long, D. (2014) · University of Michigan Press eBooks · doi:10.3998/0472119356 · Cited by 1,415
Warren, S. G. (1982) · Reviews of Geophysics · doi:10.1029/rg020i001p00067 · Cited by 1,365
An overview of snow photochemistry: evidence, mechanisms and impacts
Grannas, A. M., Jones, A. E., Dibb, J., Ammann, M., Anastasio, C., Beine, H. J., Bergin, M., Bottenheim, J., Boxe, C. S., Carver, G., et al. (2007) · Atmospheric Chemistry and Physics · doi:10.5194/acp-7-4329-2007 · Cited by 621
Self-citationOverview of the MOSAiC expedition: Atmosphere
Shupe, M. D., Rex, M., Blomquist, B., Persson, P. O. G., Schmale, J., Uttal, T., Althausen, D., Angot, H., Archer, S., Bariteau, L., et al. (2022) · Elem Sci Anth · doi:10.1525/elementa.2021.00060 · Cited by 405
Self-citationHolland, M. M., Bailey, D. A., Briegleb, B. P., Light, B., & Hunke, E. (2012) · Journal of Climate · doi:10.1175/jcli-d-11-00078.1 · Cited by 386
Self-citationLeads in Arctic pack ice enable early phytoplankton blooms below snow-covered sea ice
Assmy, P., Fernández-Méndez, M., Duarte, P., Meyer, A., Randelhoff, A., Mundy, C. J., Olsen, L. M., Kauko, H. M., Bailey, A., Chierici, M., et al. (2017) · Scientific Reports · doi:10.1038/srep40850 · Cited by 339
Self-citationAerosols in current and future Arctic climate
Schmale, J., Zieger, P., & Ekman, A. M. L. (2021) · Nature Climate Change · doi:10.1038/s41558-020-00969-5 · Cited by 338
Changes in Arctic sea ice result in increasing light transmittance and absorption
Nicolaus, M., Katlein, C., Maslanik, J., & Hendricks, S. (2012) · Geophysical Research Letters · doi:10.1029/2012gl053738 · Cited by 333
Self-citationWang, C., Graham, R. M., Wang, K., Gerland, S., & Granskog, M. A. (2019) · The Cryosphere · doi:10.5194/tc-13-1661-2019 · Cited by 303
Self-citationAdvancing Polar Prediction Capabilities on Daily to Seasonal Time Scales
Jung, T., Gordon, N. D., Bauer, P., Bromwich, D. H., Chevallier, M., Day, J. J., Dawson, J., Doblas-Reyes, F., Fairall, C., Goessling, H. F., et al. (2016) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-14-00246.1 · Cited by 301
Self-citation
Cited by
Boyer, M., Aliaga, D., Pernov, J. B., Angot, H., Quéléver, L. L. J., Dada, L., Heutte, B., Dall'Osto, M., Beddows, D. C. S., Brasseur, Z., et al. (2023) · Atmospheric Chemistry and Physics · doi:10.5194/acp-23-389-2023 · Cited by 52
Jozef, G., Cassano, J., Dahlke, S., & de Boer, G. (2022) · Atmospheric Measurement Techniques · doi:10.5194/amt-15-4001-2022 · Cited by 34
Metadata
- Authors
- Nicolaus, M., Perovich, D. K., Spreen, G., Granskog, M. A., von Albedyll, L., Angelopoulos, M., Anhaus, P., Arndt, S., Belter, H. J., Bessonov, V., Birnbaum, G., Brauchle, J., Calmer, R., Cardellach, E., Cheng, B., Clemens-Sewall, D., Dadic, R., Damm, E., de Boer, G., Demir, O., Dethloff, K., Divine, D. V., Fong, A. A., Fons, S., Frey, M. M., Fuchs, N., Gabarró, C., Gerland, S., Goessling, H. F., Gradinger, R., Haapala, J., Haas, C., Hamilton, J., Hannula, H.-R., Hendricks, S., Herber, A., Heuzé, C., Hoppmann, M., Høyland, K. V., Huntemann, M., Hutchings, J. K., Hwang, B., Itkin, P., Jacobi, H.-W., Jaggi, M., Jutila, A., Kaleschke, L., Katlein, C., Kolabutin, N., Krampe, D., Kristensen, S. S., Krumpen, T., Kurtz, N., Lampert, A., Lange, B. A., Lei, R., Light, B., Linhardt, F., Liston, G. E., Loose, B., Macfarlane, A. R., Mahmud, M., Matero, I. O., Maus, S., Morgenstern, A., Naderpour, R., Nandan, V., Niubom, A., Oggier, M., Oppelt, N., Pätzold, F., Perron, C., Petrovsky, T., Pirazzini, R., Polashenski, C., Rabe, B., Raphael, I. A., Regnery, J., Rex, M., Ricker, R., Riemann-Campe, K., Rinke, A., Rohde, J., Salganik, E., Scharien, R. K., Schiller, M., Schneebeli, M., Semmling, M., Shimanchuk, E., Shupe, M. D., Smith, M. M., Smolyanitsky, V., Sokolov, V., Stanton, T., Stroeve, J., Thielke, L., Timofeeva, A., Tonboe, R. T., Tavri, A., Tsamados, M., Wagner, D. N., Watkins, D., Webster, M., & Wendisch, M.
- Venue
- Elem Sci Anth
- Publisher
- University of California Press
- Published
- 2022
- Volume
- 10
- Issue
- 1
- ISSN
- 2325-1026 (ISSN-L)
- OpenAlex
- W4213239123
- Cited by
- 298
- References
- 43
- FWCI
- 169.11
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Overview of the MOSAiC expedition: Snow and sea ice. https://app.cochat.ai/papers/10.1525/elementa.2021.000046
- The paper
- Nicolaus, M., Perovich, D. K., Spreen, G., Granskog, M. A., von Albedyll, L., Angelopoulos, M., Anhaus, P., Arndt, S., Belter, H. J., Bessonov, V., Birnbaum, G., Brauchle, J., Calmer, R., Cardellach, E., Cheng, B., Clemens-Sewall, D., Dadic, R., Damm, E., de Boer, G., . . . Wendisch, M. (2022). Overview of the MOSAiC expedition: Snow and sea ice. Elem Sci Anth. https://doi.org/10.1525/elementa.2021.000046
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.