Accuracy Assessment of Recent Global Ocean Tide Models Around Antarctica

Lei, Jia; Zhang, S.; Hao, Ke; Zhang, Q.; Li, W.

doi:10.5194/isprs-archives-xlii-2-w7-1521-2017

Cited by 10 publications

(10 citation statements)

References 15 publications

(17 reference statements)

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“…We observe large amplitudes along the northern coast of Australia (CSR, GFZ), the Hudson Bay (CSR, GFZ) as well as in the Filchner‐Ronne Ice Shelf along the Antarctic Peninsula (CSR, JPL, GFZ, see also Figure ). Global ocean tide models have limitations in these regions (Chen et al, ; Lei et al, ; Stammer et al, ), which speaks to the effectiveness of the tidal estimates, as these signatures are not present in ITSG‐Grace2018. We cannot identify any clear differences between the individual solutions on the continents, which leads us to the conclusion that the tidal estimates do not significantly absorb any hydrological signal.…”

Section: Evaluation and Intercomparisonmentioning

confidence: 99%

ITSG‐Grace2018: Overview and Evaluation of a New GRACE‐Only Gravity Field Time Series

et al. 2019

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ITSG‐Grace2018 is a new series of GRACE‐only gravity field solutions based on reprocessed GRACE observation data (L1B RL03) and the latest atmosphere and ocean dealiasing product (AOD1B RL06). It includes unconstrained monthly and constrained daily solutions, as well as a high‐resolution static gravity field. Compared to the previous ITSG release, we implemented a number of improvements within the processing chain and use updated background models. In an effort to better model all known error sources, we propagate synthetic orientation uncertainties of the star camera assembly to the antenna offset correction for intersatellite ranging observations. This enables the disentanglement of the stationary noise of the K‐Band system and the nonstationary noise of the antenna offset correction. We further incorporated uncertainties of the atmosphere and ocean dealiasing product to reduce temporal aliasing effects. To mitigate errors in the applied ocean tide model, we used constrained GRACE estimates of selected tidal constituents as an additional background model. Variability over quiet ocean areas suggests a 27% to 46% lower noise level compared to the current spherical harmonic solutions of the official processing centers (300 km Gaussian filter applied). To ensure that the low noise floor is not accompanied by signal loss, we examined drainage basin averages, which showed consistent amplitudes with the official GRACE time series. These evaluations lead to the conclusion that ITSG‐Grace2018 is a state‐of‐the‐art GRACE time series which exhibits an excellent signal‐to‐noise ratio.

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Section: Evaluation and Intercomparisonmentioning

confidence: 99%

ITSG‐Grace2018: Overview and Evaluation of a New GRACE‐Only Gravity Field Time Series

et al. 2019

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“…However, a more detailed analysis of tides and tidal pressures near the grounding line is possible as shown by Begeman et al (2020). Also, investigations of sea ice dynamics and floating ice shelves are expected to improve tidal errors (Sun et al, 2022;Lei et al, 2017). We would like to conduct more detailed investigations of these factors in a future effort.…”

Section: Discussionmentioning

confidence: 99%

Barotropic tides in MPAS-Ocean (E3SM V2): impact of ice shelf cavities

al.¹

2023

Geosci. Model Dev.

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Abstract. Oceanic tides are seldom represented in Earth system models (ESMs) owing to the need for high horizontal resolution to accurately represent the associated barotropic waves close to coasts. This paper presents results of tides implemented in the Model for Prediction Across Scales–Ocean or MPAS-Ocean, which is the ocean component within the U.S. Department of Energy developed Energy Exascale Earth System Model (E3SM). MPAS-Ocean circumvents the limitation of low resolution using unstructured global meshing. We are at this stage simulating the largest semidiurnal (M2, S2, N2) and diurnal (K1, O1) tidal constituents in a single-layer version of MPAS-O. First, we show that the tidal constituents calculated using MPAS-Ocean closely agree with the results of the global tidal prediction model TPXO8 when suitably tuned topographic wave drag and bottom drag coefficients are employed. Thereafter, we present the sensitivity of global tidal evolution due to the presence of Antarctic ice shelf cavities. The effect of ice shelves on the amplitude and phase of tidal constituents are presented. Lower values of complex errors (with respect to TPXO8 results) for the M2 tidal constituents are observed when the ice shelf is added in the simulations, with particularly strong improvement in the Southern Ocean. Our work points towards future research with varying Antarctic ice shelf geometries and sea ice coupling that might lead to better comparison and prediction of tides and thus better prediction of sea-level rise and also the future climate variability.

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Section: Discussionmentioning

confidence: 99%

Barotropic Tides in MPAS-Ocean: Impact of Ice Shelf Cavities

Pal

Barton

Petersen

et al. 2022

Preprint

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Abstract. Oceanic tides are seldom represented in Earth System Models (ESMs) owing to the need for high horizontal resolution to accurately represent the associated barotropic waves close to coasts. This paper presents results of tides implemented in the Model for Prediction Across Scales–Ocean or MPAS-Ocean, which is the ocean component within the US Department of Energy developed Energy Exascale Earth System Model (E3SM). MPAS-Ocean circumvents the limitation of low resolution using unstructured global meshing. We are at this stage simulating the largest semidiurnal (M2, S2, N2) and diurnal (K1, O1) tidal constituents in a single layer version of MPAS-O. First, we show that the tidal constituents calculated using MPAS-Ocean closely agree with TPXO8 results when suitably tuned topographic wave drag and bottom drag coefficients are employed. Thereafter, we present the sensitivity of global tidal evolution due to the presence of Antarctic ice shelf cavities. The effect of ice shelves on the amplitude and phase of tidal constituents are presented. Lower values of complex errors (with respect to TPX08 results) for the M2 tidal constituents are observed when ice shelf is added in the simulations, with particularly strong improvement in the Southern Ocean. Our work points towards future research with varying Antarctic ice shelf geometries and sea ice coupling that might lead to better comparison and prediction of tides, and thus better prediction of sea-level rise and also the future climate variability.

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Accuracy Assessment of Recent Global Ocean Tide Models Around Antarctica

Cited by 10 publications

References 15 publications

ITSG‐Grace2018: Overview and Evaluation of a New GRACE‐Only Gravity Field Time Series

ITSG‐Grace2018: Overview and Evaluation of a New GRACE‐Only Gravity Field Time Series

Barotropic tides in MPAS-Ocean (E3SM V2): impact of ice shelf cavities

Barotropic Tides in MPAS-Ocean: Impact of Ice Shelf Cavities

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