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- Cai, Yongqing, et al.
(author)
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Factors Modulating the Variability of Eddy Kinetic Energy in the Southern Ocean from Idealized Simulations
- 2024
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In: Ocean-Land-Atmosphere Research. ; 3
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Journal article (peer-reviewed)abstract
- The Southern Ocean is characterized by high levels of eddy activity, which are crucial for the vertical exchange or transfer of matter, energy, and momentum. Previous studies have shown that the variability of eddy kinetic energy (EKE) in the Southern Ocean is primarily intrinsic. However, the factors that modulate the forced and intrinsic variability of the EKE remain unclear. In this study, we conduct a series of idealized simulations and apply ensemble analysis to investigate the impact of topography and wind-stress perturbations on the forced and intrinsic variability of the EKE and their relative contributions. The results show that while the large wind-stress perturbation obviously increases the forced variability of EKE by enhancing the Ekman response, the topography not only amplifies the forced variability by sharpening isopycnals and energizing the mean flow but also intensifies the intrinsic variability of EKE. However, EKE variabilities in both complex-topographic and flat-bottom cases are dominated by their intrinsic components, even when driven by escalated wind-stress perturbations. These findings deepen our understanding of the eddy field, its ongoing variability in the Southern Ocean, and its potential impact on the balance of heat, carbon, and freshwater.
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| 2. |
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| 3. |
- Lei, Ruibo, et al.
(author)
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Field investigations of apparent optical properties of ice cover in Finnish and Estonian lakes in winter 2009
- 2011
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In: Estonian journal of earth sciences. - : Estonian Academy Publishers. - 1736-4728 .- 1736-7557. ; 60:1, s. 50-64
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Journal article (peer-reviewed)abstract
- A field programme on light conditions in ice-covered lakes and optical properties of lake ice was performed in seven lakes of Finland and Estonia in February–April 2009. On the basis of irradiance measurements above and below ice, spectral reflectance and transmittance were determined for the ice sheet; time evolution of photosynthetically active radiation (PAR) transmittance was examined from irradiance recordings at several levels inside the ice sheet. Snow cover was the dominant factor for transmission of PAR into the lake water body. Reflectance was 0.74–0.92 in winter, going down to 0.18–0.22 in the melting season. The bulk attenuation coefficient of dry snow was 14–25 m–1; the level decreased as the spring was coming. The reflectance and bulk attenuation coefficient of snow-free ice were 0.1–0.4 and 1–5 m–1. Both were considerably smaller than those of snow cover. Seasonal evolution of light transmission was mainly due to snow melting. Snow and ice cover not only depress the PAR level in a lake but also influence the spectral and directional distribution of light.
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| 4. |
- Qi, Di, et al.
(author)
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Climate change drives rapid decadal acidification in the Arctic Ocean from 1994 to 2020
- 2022
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In: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 377:6614, s. 1544-1550
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Journal article (peer-reviewed)abstract
- The Arctic Ocean has experienced rapid warming and sea ice loss in recent decades, becoming the first open-ocean basin to experience widespread aragonite undersaturation [saturation state of aragonite (Warag) < 1]. However, its trend toward long-term ocean acidification and the underlying mechanisms remain undocumented. Here, we report rapid acidification there, with rates three to four times higher than in other ocean basins, and attribute it to changing sea ice coverage on a decadal time scale. Sea ice melt exposes seawater to the atmosphere and promotes rapid uptake of atmospheric carbon dioxide, lowering its alkalinity and buffer capacity and thus leading to sharp declines in pH and Warag. We predict a further decrease in pH, particularly at higher latitudes where sea ice retreat is active, whereas Arctic warming may counteract decreases in Warag in the future.
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| 5. |
- Rabe, Benjamin, et al.
(author)
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The MOSAiC Distributed Network: Observing the coupled Arctic system with multidisciplinary, coordinated platforms
- 2024
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In: Elementa. - 2325-1026. ; 12:1
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Journal article (peer-reviewed)abstract
- Central Arctic properties and processes are important to the regional and global coupled climate system. The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Distributed Network (DN) of autonomous ice-tethered systems aimed to bridge gaps in our understanding of temporal and spatial scales, in particular with respect to the resolution of Earth system models. By characterizing variability around local measurements made at a Central Observatory, the DN covers both the coupled system interactions involving the ocean-ice-atmosphere interfaces as well as three-dimensional processes in the ocean, sea ice, and atmosphere. The more than 200 autonomous instruments (“buoys”) were of varying complexity and set up at different sites mostly within 50 km of the Central Observatory. During an exemplary midwinter month, the DN observations captured the spatial variability of atmospheric processes on sub-monthly time scales, but less so for monthly means. They show significant variability in snow depth and ice thickness, and provide a temporally and spatially resolved characterization of ice motion and deformation, showing coherency at the DN scale but less at smaller spatial scales. Ocean data show the background gradient across the DN as well as spatially dependent time variability due to local mixed layer sub-mesoscale and mesoscale processes, influenced by a variable ice cover. The second case (May–June 2020) illustrates the utility of the DN during the absence of manually obtained data by providing continuity of physical and biological observations during this key transitional period. We show examples of synergies between the extensive MOSAiC remote sensing observations and numerical modeling, such as estimating the skill of ice drift forecasts and evaluating coupled system modeling. The MOSAiC DN has been proven to enable analysis of local to mesoscale processes in the coupled atmosphere-ice-ocean system and has the potential to improve model parameterizations of important, unresolved processes in the future.
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