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1. Sea robins

   https://doi.org/10.1016/j.cub.2023.04.015  

   Allard, Corey A.H.; Herbert, Amy L.; Kingsley, David M.; Bellono, Nicholas W. (July 2023, Current Biology)
2. Monthly Sea Surface Temperature, Sea Ice, and Sea Level Pressure over 1850–2023 from Coupled Data Assimilation

   https://doi.org/10.1175/JCLI-D-25-0021.1  

   Cooper, Vincent_T; Hakim, Gregory_J; Armour, Kyle_C (October 2025, Journal of Climate)

   Abstract Historical observations of Earth’s climate underpin our knowledge and predictions of climate variability and change. However, the observations are incomplete and uncertain, and existing datasets based on these observations typically do not assimilate observations simultaneously across different components of the climate system, yielding inconsistencies that limit understanding of coupled climate dynamics. Here, we use coupled data assimilation, which synthesizes observational and dynamical constraints across all climate fields simultaneously, to reconstruct globally resolved sea surface temperature (SST), near-surface air temperature (T), sea level pressure (SLP), and sea ice concentration (SIC), over 1850–2023. We use a Kalman filter and forecasts from an efficient emulator, the linear inverse model (LIM), to assimilate observations of SST, landT, marine SLP, and satellite-era SIC. We account for model error by training LIMs on eight CMIP6 models, and we use the LIMs to generate eight independent reanalyses with 200 ensemble members, yielding 1600 total members. Key findings in the tropics include post-1980 trends in the Walker circulation that are consistent with past variability, whereas the tropical SST contrast (the difference between warmer and colder SSTs) shows a distinct strengthening since 1975. El Niño–Southern Oscillation (ENSO) amplitude exhibits substantial low-frequency variability and a local maximum in variance over 1875–1910. In polar regions, we find a muted cooling trend in the Southern Ocean post-1980 and substantial uncertainty. Changes in Antarctic sea ice are relatively small between 1850 and 2000, while Arctic sea ice declines by 0.5 ± 0.1 (1σ) million km²during the 1920s. Significance StatementThe key advance in our reconstruction is that the ocean, atmosphere, and sea ice are dynamically consistent with each other and with observations across all components, thus forming a true climate reanalysis. Existing climate datasets are typically derived separately for each component (e.g., atmosphere, ocean, and sea ice), leading to spurious trends and inconsistencies in coupled climate variability. We use coupled data assimilation to unify observations and coupled dynamics across components. We combine forecasts from climate models with observations from ocean vessels and weather stations to produce monthly state estimates spanning 1850–2023 and a novel quantification of globally resolved uncertainty. This reconstruction provides insights into historical variability and trends while motivating future efforts to reduce uncertainties in the climate record. 

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3. How Sea Ice Drift Influences Sea Ice Area and Volume

   https://doi.org/10.1029/2021GL093069  

   Wagner, T. J.; Eisenman, I.; Mason, H. C. (October 2021, Geophysical Research Letters)

   null (Ed.)
4. Modeling Sea Ice

   https://doi.org/10.1090/noti2171  

   Golden, Kenneth M.; Bennetts, Luke G.; Cherkaev, Elena; Eisenman, Ian; Feltham, Daniel; Horvat, Christopher; Hunke, Elizabeth; Jones, Christopher; Perovich, Donald K.; Ponte-Castaneda, Pedro; et al (November 2020, Notices of the American Mathematical Society)

   null (Ed.)
5. Buried at Sea

   https://doi.org/10.1038/scientificamerican122024-7eyo5ikLOZe2H1hkN6IvYQ  

   Palter, Jaime B (December 2024, Scientific American)

   Fischetti, Mark (Ed.)