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  • 1
    Online Resource
    Online Resource
    American Geophysical Union (AGU) ; 2020
    In:  Geophysical Research Letters Vol. 47, No. 18 ( 2020-09-28)
    In: Geophysical Research Letters, American Geophysical Union (AGU), Vol. 47, No. 18 ( 2020-09-28)
    Abstract: CMIP5‐average sea surface temperature patterns damp passive ocean heat uptake efficiency by 24% Variations in surface warming patterns between models do not explain the spread in ocean heat uptake efficiency The spread in ocean heat uptake efficiency likely stems from differences in ocean circulation across CMIP5
    Type of Medium: Online Resource
    ISSN: 0094-8276 , 1944-8007
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2020
    detail.hit.zdb_id: 2021599-X
    detail.hit.zdb_id: 7403-2
    SSG: 16,13
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  • 2
    Online Resource
    Online Resource
    American Meteorological Society ; 2022
    In:  Journal of Climate Vol. 35, No. 14 ( 2022-07-15), p. 4627-4643
    In: Journal of Climate, American Meteorological Society, Vol. 35, No. 14 ( 2022-07-15), p. 4627-4643
    Abstract: Ocean warming patterns are a primary control on regional sea level rise and transient climate sensitivity. However, controls on these patterns in both observations and models are not fully understood, complicated as they are by their dependence on the “addition” of heat to the ocean’s interior along background ventilation pathways and on the “redistribution” of heat between regions by changing ocean dynamics. While many previous studies attribute heat redistribution to changes in high-latitude processes, here we propose that substantial heat redistribution is explained by the large-scale adjustment of the geostrophic flow to warming within the pycnocline. We explore this hypothesis in the University of Victoria Earth System Model, estimating added heat using the transport matrix method. We find that throughout the midlatitudes, subtropics, and tropics, patterns of added and redistributed heat in the model are strongly anticorrelated ( R ≈ −0.75). We argue that this occurs because changes in ocean currents, acting across pre-existing temperature gradients, redistribute heat away from regions of strong passive heat convergence. Over broad scales, this advective response can be estimated from changes in upper-ocean density alone using the thermal wind relation and is linked to an adjustment of the subtropical pycnocline. These results highlight a previously unappreciated relationship between added and redistributed heat and emphasize the role that subtropical and midlatitude dynamics play in setting patterns of ocean heat storage. Significance Statement The point of our study was to better understand the geographic pattern of ocean warming caused by human-driven climate change. Warming patterns are challenging to predict because they are sensitive both to how the ocean absorbs heat from the atmosphere and to how ocean currents change in response to increased emissions. We showed that these processes are not independent of one another: in many regions, changes in ocean currents reduce regional variations in the build-up of new heat absorbed from the atmosphere. This finding may help to constrain future projections of regional ocean warming, which matters because ocean warming patterns have a major influence on regional sea level rise, marine ecosystem degradation, and the rate of atmospheric warming.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
    RVK:
    Language: Unknown
    Publisher: American Meteorological Society
    Publication Date: 2022
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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  • 3
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  Nature Geoscience Vol. 14, No. 5 ( 2021-05), p. 354-354
    In: Nature Geoscience, Springer Science and Business Media LLC, Vol. 14, No. 5 ( 2021-05), p. 354-354
    Type of Medium: Online Resource
    ISSN: 1752-0894 , 1752-0908
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2396648-8
    detail.hit.zdb_id: 2405323-5
    SSG: 16,13
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  • 4
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 120, No. 11 ( 2023-03-14)
    Abstract: Gas exchange between the atmosphere and ocean interior profoundly impacts global climate and biogeochemistry. However, our understanding of the relevant physical processes remains limited by a scarcity of direct observations. Dissolved noble gases in the deep ocean are powerful tracers of physical air-sea interaction due to their chemical and biological inertness, yet their isotope ratios have remained underexplored. Here, we present high-precision noble gas isotope and elemental ratios from the deep North Atlantic (~32°N, 64°W) to evaluate gas exchange parameterizations using an ocean circulation model. The unprecedented precision of these data reveal deep-ocean undersaturation of heavy noble gases and isotopes resulting from cooling-driven air-to-sea gas transport associated with deep convection in the northern high latitudes. Our data also imply an underappreciated and large role for bubble-mediated gas exchange in the global air-sea transfer of sparingly soluble gases, including O 2 , N 2 , and SF 6 . Using noble gases to validate the physical representation of air-sea gas exchange in a model also provides a unique opportunity to distinguish physical from biogeochemical signals. As a case study, we compare dissolved N 2 /Ar measurements in the deep North Atlantic to physics-only model predictions, revealing excess N 2 from benthic denitrification in older deep waters (below 2.9 km). These data indicate that the rate of fixed N removal in the deep Northeastern Atlantic is at least three times higher than the global deep-ocean mean, suggesting tight coupling with organic carbon export and raising potential future implications for the marine N cycle.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
    RVK:
    RVK:
    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2023
    detail.hit.zdb_id: 209104-5
    detail.hit.zdb_id: 1461794-8
    SSG: 11
    SSG: 12
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  • 5
    Online Resource
    Online Resource
    American Geophysical Union (AGU) ; 2023
    In:  Journal of Advances in Modeling Earth Systems Vol. 15, No. 2 ( 2023-02)
    In: Journal of Advances in Modeling Earth Systems, American Geophysical Union (AGU), Vol. 15, No. 2 ( 2023-02)
    Abstract: Geochemical tracers have provided great insight into oceanic processes but are prohibitively expensive to simulate in climate models A new “sequence acceleration” method is introduced offering speed‐ups of 10–25 times for a range of typical geochemical tracer problems The new method is completely “black box” and can be applied to any model
    Type of Medium: Online Resource
    ISSN: 1942-2466 , 1942-2466
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2023
    detail.hit.zdb_id: 2462132-8
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  • 6
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  Nature Geoscience Vol. 14, No. 1 ( 2021-01), p. 43-50
    In: Nature Geoscience, Springer Science and Business Media LLC, Vol. 14, No. 1 ( 2021-01), p. 43-50
    Type of Medium: Online Resource
    ISSN: 1752-0894 , 1752-0908
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2396648-8
    detail.hit.zdb_id: 2405323-5
    SSG: 16,13
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  • 7
    Online Resource
    Online Resource
    Copernicus GmbH ; 2022
    In:  Geoscientific Model Development Vol. 15, No. 9 ( 2022-05-05), p. 3537-3554
    In: Geoscientific Model Development, Copernicus GmbH, Vol. 15, No. 9 ( 2022-05-05), p. 3537-3554
    Abstract: Abstract. The skill of global ocean biogeochemical models, and the earth system models in which they are embedded, can be improved by systematic calibration of the parameter values against observations. However, such tuning is seldom undertaken as these models are computationally very expensive. Here we investigate the performance of DFO-LS, a local, derivative-free optimisation algorithm which has been designed for computationally expensive models with irregular model–data misfit landscapes typical of biogeochemical models. We use DFO-LS to calibrate six parameters of a relatively complex global ocean biogeochemical model (MOPS) against synthetic dissolved oxygen, phosphate and nitrate “observations” from a reference run of the same model with a known parameter configuration. The performance of DFO-LS is compared with that of CMA-ES, another derivative-free algorithm that was applied in a previous study to the same model in one of the first successful attempts at calibrating a global model of this complexity. We find that DFO-LS successfully recovers five of the six parameters in approximately 40 evaluations of the misfit function (each one requiring a 3000-year run of MOPS to equilibrium), while CMA-ES needs over 1200 evaluations. Moreover, DFO-LS reached a “baseline” misfit, defined by observational noise, in just 11–14 evaluations, whereas CMA-ES required approximately 340 evaluations. We also find that the performance of DFO-LS is not significantly affected by observational sparsity, however fewer parameters were successfully optimised in the presence of observational uncertainty. The results presented here suggest that DFO-LS is sufficiently inexpensive and robust to apply to the calibration of complex, global ocean biogeochemical models.
    Type of Medium: Online Resource
    ISSN: 1991-9603
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2022
    detail.hit.zdb_id: 2456725-5
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  • 8
    In: Biogeosciences, Copernicus GmbH, Vol. 19, No. 21 ( 2022-11-07), p. 5079-5106
    Abstract: Abstract. Biogeochemical model behaviour for micronutrients is typically hard to constrain because of the sparsity of observational data, the difficulty of determining parameters in situ, and uncertainties in observations and models. Here, we assess the influence of data distribution, model uncertainty, and the misfit function on objective parameter optimisation in a model of the oceanic cycle of zinc (Zn), an essential micronutrient for marine phytoplankton with a long whole-ocean residence time. We aim to investigate whether observational constraints are sufficient for reconstruction of biogeochemical model behaviour, given that the Zn data coverage provided by the GEOTRACES Intermediate Data Product 2017 is sparse. Furthermore, we aim to assess how optimisation results are affected by the choice of the misfit function and by confounding factors such as analytical uncertainty in the data or biases in the model related to either seasonal variability or the larger-scale circulation. The model framework applied herein combines a marine Zn cycling model with a state-of-the-art estimation of distribution algorithm (Covariance Matrix Adaption Evolution Strategy, CMA-ES) to optimise the model towards synthetic data in an ensemble of 26 optimisations. Provided with a target field that can be perfectly reproduced by the model, optimisation retrieves parameter values perfectly regardless of data coverage. As differences between the model and the system underlying the target field increase, the choice of the misfit function can greatly impact optimisation results, while limitation of data coverage is in most cases of subordinate significance. In cases where optimisation to full or limited data coverage produces relatively distinct model behaviours, we find that applying a misfit metric that compensates for differences in data coverage between ocean basins considerably improves agreement between optimisation results obtained with the two data situations.
    Type of Medium: Online Resource
    ISSN: 1726-4189
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2022
    detail.hit.zdb_id: 2158181-2
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  • 9
    Online Resource
    Online Resource
    American Geophysical Union (AGU) ; 2021
    In:  Earth's Future Vol. 9, No. 12 ( 2021-12)
    In: Earth's Future, American Geophysical Union (AGU), Vol. 9, No. 12 ( 2021-12)
    Abstract: An offline ocean model is used to predict the distribution of δ 13 C in DIC through 2100 under six scenarios In high emission scenarios, the Suess Effect strongly decreases δ 13 C in DIC, reversing vertical and horizontal δ 13 C gradients Estimates of the anthropogenic CO 2 uptake by the ocean based on δ 13 C may become less reliable in the future
    Type of Medium: Online Resource
    ISSN: 2328-4277 , 2328-4277
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2021
    detail.hit.zdb_id: 2746403-9
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  • 10
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  Nature Geoscience Vol. 14, No. 5 ( 2021-05), p. 354-354
    In: Nature Geoscience, Springer Science and Business Media LLC, Vol. 14, No. 5 ( 2021-05), p. 354-354
    Type of Medium: Online Resource
    ISSN: 1752-0894 , 1752-0908
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2396648-8
    detail.hit.zdb_id: 2405323-5
    SSG: 16,13
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