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  • 1
    Online Resource
    Online Resource
    North American East Coast Sea Level Exhibits High Power and Spatiotemporal Complexity on Decadal Timescales
    American Geophysical Union (AGU) ; 2021
    In:  Geophysical Research Letters Vol. 48, No. 15 ( 2021-08)
    Details
    In: Geophysical Research Letters, American Geophysical Union (AGU), Vol. 48, No. 15 ( 2021-08)
    Abstract: The large‐scale spatial structure of sea‐level variability along the North American East Coast is time‐dependent and frequency‐dependent Multidecadal epochs of enhanced (up to ∼10 cm) decadal sea‐level variability are evident at most east coast tide gauges From approximately 1960 to 1990, decadal sea‐level variability was coherent across Cape Hatteras
    Type of Medium: Online Resource
    ISSN: 0094-8276 , 1944-8007
    URL: Article
    DOI: 10.1029/2021GL093675
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2021
    detail.hit.zdb_id: 2021599-X
    detail.hit.zdb_id: 7403-2
    SSG: 16,13
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  • 2
    Online Resource
    Online Resource
    Modeling ocean-induced rapid Earth rotation variations: an update
    Springer Science and Business Media LLC ; 2021
    In:  Journal of Geodesy Vol. 95, No. 9 ( 2021-09)
    Details
    In: Journal of Geodesy, Springer Science and Business Media LLC, Vol. 95, No. 9 ( 2021-09)
    Abstract: We revisit the problem of modeling the ocean’s contribution to rapid, non-tidal Earth rotation variations at periods of 2–120 days. Estimates of oceanic angular momentum (OAM, 2007–2011) are drawn from a suite of established circulation models and new numerical simulations, whose finest configuration is on a "Image missing" $$^\circ $$ ∘ grid. We show that the OAM product by the Earth System Modeling Group at GeoForschungsZentrum Potsdam has spurious short period variance in its equatorial motion terms, rendering the series a poor choice for describing oceanic signals in polar motion on time scales of less than $$\sim $$ ∼ 2 weeks. Accounting for OAM in rotation budgets from other models typically reduces the variance of atmosphere-corrected geodetic excitation by $$\sim $$ ∼ 54% for deconvolved polar motion and by $$\sim $$ ∼ 60% for length-of-day. Use of OAM from the "Image missing" $$^\circ $$ ∘ model does provide for an additional reduction in residual variance such that the combined oceanic–atmospheric effect explains as much as 84% of the polar motion excitation at periods 〈  120 days. Employing statistical analysis and bottom pressure changes from daily Gravity Recovery and Climate Experiment solutions, we highlight the tendency of ocean models run at a 1 $$^\circ $$ ∘ grid spacing to misrepresent topographically constrained dynamics in some deep basins of the Southern Ocean, which has adverse effects on OAM estimates taken along the 90 $$^\circ $$ ∘ meridian. Higher model resolution thus emerges as a sensible target for improving the oceanic component in broader efforts of Earth system modeling for geodetic purposes.
    Type of Medium: Online Resource
    ISSN: 0949-7714 , 1432-1394
    URL: Article
    DOI: 10.1007/s00190-021-01555-z
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 1478938-3
    detail.hit.zdb_id: 2679875-X
    SSG: 14
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  • 3
    Online Resource
    Online Resource
    Using Drifter Velocity Measurements to Assess and Constrain Coarse-Resolution Ocean Models
    American Meteorological Society ; 2021
    In:  Journal of Atmospheric and Oceanic Technology Vol. 38, No. 4 ( 2021-04), p. 909-919
    Details
    In: Journal of Atmospheric and Oceanic Technology, American Meteorological Society, Vol. 38, No. 4 ( 2021-04), p. 909-919
    Abstract: Properly fitting ocean models to observations is crucial for improving model performance and understanding ocean dynamics. Near-surface velocity measurements from the Global Drifter Program (GDP) contain valuable information about upper-ocean circulation and air–sea fluxes on various space and time scales. This study explores whether GDP measurements can be used for usefully constraining the surface circulation from coarse-resolution ocean models, using global solutions produced by the consortium for Estimating the Circulation and Climate of the Ocean (ECCO) as an example. To address this problem, a careful examination of velocity data errors is required. Comparisons between an ECCO model simulation, performed without any data constraints, and GDP and Ocean Surface Current Analyses Real-Time (OSCAR) velocity data, over the period 1992–2017, reveal considerable differences in magnitude and pattern. These comparisons are used to estimate GDP data errors in the context of the time-mean and time-variable surface circulations. Both instrumental errors and errors associated with limitations in model physics and resolution (representation errors) are considered. Given the estimated model–data differences, errors, and signal-to-noise ratios, our results indicate that constraining ocean-state estimates to GDP can have a substantial impact on the ECCO large-scale time-mean surface circulation over extensive areas. Impact of GDP data constraints on the ECCO time-variable circulation would be weaker and mainly limited to low latitudes. Representation errors contribute substantially to degrading the data impacts.
    Type of Medium: Online Resource
    ISSN: 0739-0572 , 1520-0426
    URL: Article
    DOI: 10.1175/JTECH-D-20-0159.1
    Language: Unknown
    Publisher: American Meteorological Society
    Publication Date: 2021
    detail.hit.zdb_id: 2021720-1
    detail.hit.zdb_id: 48441-6
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  • 4
    Online Resource
    Online Resource
    Intraseasonal Sea Level Variability in the Persian Gulf
    American Meteorological Society ; 2021
    In:  Journal of Physical Oceanography Vol. 51, No. 5 ( 2021-05), p. 1687-1704
    Details
    In: Journal of Physical Oceanography, American Meteorological Society, Vol. 51, No. 5 ( 2021-05), p. 1687-1704
    Abstract: Satellite observations are used to establish the dominant magnitudes, scales, and mechanisms of intraseasonal variability in ocean dynamic sea level ( ζ ) in the Persian Gulf over 2002–15. Empirical orthogonal function (EOF) analysis applied to altimetry data reveals a basinwide, single-signed intraseasonal fluctuation that contributes importantly to ζ variance in the Persian Gulf at monthly to decadal time scales. An EOF analysis of Gravity Recovery and Climate Experiment (GRACE) observations over the same period returns a similar large-scale mode of intraseasonal variability, suggesting that the basinwide intraseasonal ζ variation has a predominantly barotropic nature. A linear barotropic theory is developed to interpret the data. The theory represents Persian Gulf average ζ ( ) in terms of local freshwater flux, barometric pressure, and wind stress forcing, as well as ζ at the boundary in the Gulf of Oman. The theory is tested using a multiple linear regression with these freshwater flux, barometric pressure, wind stress, and boundary ζ quantities as input and as output. The regression explains 70% ± 9% (95% confidence interval) of the intraseasonal variance. Numerical values of regression coefficients computed empirically from the data are consistent with theoretical expectations from first principles. Results point to a substantial nonisostatic response to surface loading. The Gulf of Oman ζ boundary condition shows lagged correlation with ζ upstream along the Indian subcontinent, Maritime Continent, and equatorial Indian Ocean, suggesting a large-scale Indian Ocean influence on intraseasonal variation mediated by coastal and equatorial waves and hinting at potential predictability. This study highlights the value of GRACE for understanding sea level in an understudied marginal sea.
    Type of Medium: Online Resource
    ISSN: 0022-3670 , 1520-0485
    URL: Article
    DOI: 10.1175/JPO-D-20-0296.1
    Language: Unknown
    Publisher: American Meteorological Society
    Publication Date: 2021
    detail.hit.zdb_id: 2042184-9
    detail.hit.zdb_id: 184162-2
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  • 5
    Online Resource
    Online Resource
    Imprints of Ocean Chaotic Intrinsic Variability on Bottom Pressure and Implications for Data and Model Analyses
    American Geophysical Union (AGU) ; 2021
    In:  Geophysical Research Letters Vol. 48, No. 24 ( 2021-12-28)
    Details
    In: Geophysical Research Letters, American Geophysical Union (AGU), Vol. 48, No. 24 ( 2021-12-28)
    Abstract: The imprint on bottom pressure of ocean chaotic intrinsic variability is explored using a large ensemble of simulations This random imprint is substantial in many regions, and exceeds the atmospherically driven variability in eddy‐rich regions Chaotic intrinsic variations are important on spatial scales larger than mesoscale for seasonal and shorter timescales
    Type of Medium: Online Resource
    ISSN: 0094-8276 , 1944-8007
    URL: Article
    DOI: 10.1029/2021GL096341
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2021
    detail.hit.zdb_id: 2021599-X
    detail.hit.zdb_id: 7403-2
    SSG: 16,13
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  • 6
    Online Resource
    Online Resource
    Global-scale random bottom pressure fluctuations from oceanic intrinsic variability
    American Association for the Advancement of Science (AAAS) ; 2023
    In:  Science Advances Vol. 9, No. 29 ( 2023-07-21)
    Details
    In: Science Advances, American Association for the Advancement of Science (AAAS), Vol. 9, No. 29 ( 2023-07-21)
    Abstract: Small-scale intrinsic variability can lead to global-scale signals in ocean bottom pressure via fast wave adjustment processes.
    Type of Medium: Online Resource
    ISSN: 2375-2548
    URL: Article
    DOI: 10.1126/sciadv.adg0278
    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2023
    detail.hit.zdb_id: 2810933-8
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  • 7
    Online Resource
    Online Resource
    Global Patterns of Spatial and Temporal Variability in Salinity from Multiple Gridded Argo Products
    American Meteorological Society ; 2020
    In:  Journal of Climate Vol. 33, No. 20 ( 2020-10-15), p. 8751-8766
    Details
    In: Journal of Climate, American Meteorological Society, Vol. 33, No. 20 ( 2020-10-15), p. 8751-8766
    Abstract: Salinity is one of the fundamental ocean state variables and has been used to infer important information about climate change and variability. Previous studies have found inconsistent salinity variations in various objective ocean analyses that are based on the Argo measurements. However, as far as we are aware, a comprehensive assessment of those inconsistencies, as well as robust spatial and temporal features of salinity variability among the Argo-based products, has not been conducted. Here we compare and evaluate ocean salinity variability from five objective ocean analyses that are solely or primarily based on Argo measurements for their overlapping period from 2005 to 2015. We examine the salinity variability at the sea surface and within two depth intervals (0–700 and 700–2000 m). Our results show that the climatological mean is generally consistent among all examined products, although regional discrepancies are evident in the subsurface ocean. The time evolution, vertical structure, and leading EOF modes of salinity variations show good agreement among most of the examined products, indicating that a number of robust features of the salinity variability can be obtained by examining gridded Argo products. However, significant discrepancies in these variations exist, particularly in the subsurface North Atlantic and Southern Oceans. Also, despite the increasing number of Argo floats deployed in the ocean, the discrepancies were not significantly reduced over time. Our analyses, particularly those of the discrepancies between products, can serve as a useful reference for utilizing and improving the existing objective ocean analyses that are based on Argo measurements.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
    URL: Article
    DOI: 10.1175/JCLI-D-20-0053.1
    RVK:
    UA 4548
    Language: Unknown
    Publisher: American Meteorological Society
    Publication Date: 2020
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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  • 8
    Online Resource
    Online Resource
    Low-Frequency Dynamic Ocean Response to Barometric-Pressure Loading
    American Meteorological Society ; 2022
    In:  Journal of Physical Oceanography Vol. 52, No. 11 ( 2022-11), p. 2627-2641
    Details
    In: Journal of Physical Oceanography, American Meteorological Society, Vol. 52, No. 11 ( 2022-11), p. 2627-2641
    Abstract: Changes in dynamic manometric sea level ζ m represent mass-related sea level changes associated with ocean circulation and climate. We use twin model experiments to quantify magnitudes and spatiotemporal scales of ζ m variability caused by barometric pressure p a loading at long periods ( month) and large scales ( ) relevant to Gravity Recovery and Climate Experiment (GRACE) ocean data. Loading by p a drives basin-scale monthly ζ m variability with magnitudes as large as a few centimeters. Largest ζ m signals occur over abyssal plains, on the shelf, and in marginal seas. Correlation patterns of modeled ζ m are determined by continental coasts and H / f contours ( H is ocean depth and f is Coriolis parameter). On average, ζ m signals forced by p a represent departures of and from the inverted-barometer effect ζ ib on monthly and annual periods, respectively. Basic magnitudes, spatial patterns, and spectral behaviors of ζ m from the model are consistent with scaling arguments from barotropic potential vorticity conservation. We also compare ζ m from the model driven by p a to ζ m from GRACE observations. Modeled and observed ζ m are significantly correlated across parts of the tropical and extratropical oceans, on shelf and slope regions, and in marginal seas. Ratios of modeled to observed ζ m magnitudes are as large as ∼0.2 (largest in the Arctic Ocean) and qualitatively agree with analytical theory for the gain of the transfer function between ζ m forced by p a and wind stress. Results demonstrate that p a loading is a secondary but nevertheless important contributor to monthly mass variability from GRACE over the ocean.
    Type of Medium: Online Resource
    ISSN: 0022-3670 , 1520-0485
    URL: Article
    DOI: 10.1175/JPO-D-22-0090.1
    Language: Unknown
    Publisher: American Meteorological Society
    Publication Date: 2022
    detail.hit.zdb_id: 2042184-9
    detail.hit.zdb_id: 184162-2
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  • 9
    Online Resource
    Online Resource
    Global Ocean Response to the 5‐Day Rossby‐Haurwitz Atmospheric Mode Seen by GRACE
    American Geophysical Union (AGU) ; 2022
    In:  Journal of Geophysical Research: Oceans Vol. 127, No. 5 ( 2022-05)
    Details
    In: Journal of Geophysical Research: Oceans, American Geophysical Union (AGU), Vol. 127, No. 5 ( 2022-05)
    Abstract: Daily GRACE‐based products allow a detailed look at the global ocean bottom pressure response to the 5‐day Rossby‐Haurwitz atmospheric mode Analyses confirm the large‐scale ocean dynamic response to barometric pressure and also reveal more spatially confined wind effects Derived flow fields are consistent with enhanced kinetic energy and dissipation rates over topographic features in the Southern Ocean
    Type of Medium: Online Resource
    ISSN: 2169-9275 , 2169-9291
    URL: Article
    DOI: 10.1029/2021JC018302
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2022
    detail.hit.zdb_id: 2016804-4
    detail.hit.zdb_id: 161667-5
    detail.hit.zdb_id: 3094219-6
    SSG: 16,13
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  • 10
    Online Resource
    Online Resource
    Convergence of Daily GRACE Solutions and Models of Submonthly Ocean Bottom Pressure Variability
    American Geophysical Union (AGU) ; 2021
    In:  Journal of Geophysical Research: Oceans Vol. 126, No. 2 ( 2021-02)
    Details
    In: Journal of Geophysical Research: Oceans, American Geophysical Union (AGU), Vol. 126, No. 2 ( 2021-02)
    Abstract: We rigorously compare daily Gravity Recovery and Climate Experiment (GRACE) gravity solutions with bottom pressure output from five ocean models at periods 〈 60 days Southern Ocean mass‐field variability in current de‐aliasing model is too energetic; dedicated barotropic simulations better match GRACE Daily gravity fields have errors of 0.5–1.5 cm (water height) over basin interiors and may guide improvements to existing ocean models
    Type of Medium: Online Resource
    ISSN: 2169-9275 , 2169-9291
    URL: Article
    DOI: 10.1029/2020JC017031
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2021
    detail.hit.zdb_id: 2016804-4
    detail.hit.zdb_id: 161667-5
    detail.hit.zdb_id: 3094219-6
    SSG: 16,13
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