Contributions to Arctic sea level from 2003 to 2015

Ludwigsen, Carsten Ankjær; Andersen, Ole

doi:10.1016/j.asr.2019.12.027

Cited by 7 publications

(13 citation statements)

References 26 publications

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“…However, cautions need to be taken since the method also attributes the thermosteric effects to halosteric effects, resulting in an additional linear trend. In addition, uncertainties in the satellite altimetric and GRACE measurements make the estimation more complicated and introduce significant uncertainties in the steric effects and freshwater content estimation (Ludwigsen and Andersen, 2021).…”

Section: Discussionmentioning

confidence: 99%

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Arctic sea level variability from high-resolution model simulations and implications for the Arctic observing system

Lyu

Serra

Zhou

et al. 2021

Preprint

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Abstract. Two high-resolution model simulations are used to investigate the spatio-temporal variability of the Arctic Ocean sea level. The model simulations reveal barotropic sea level variability at periods < 30 days, which is strongly captured by bottom pressure observations. The seasonal sea level variability is driven by volume ex-changes with the Pacific and Atlantic Oceans and the redistribution of the water by the wind. Halosteric effects due to river runoff and evaporation minus precipitation (EmPmR), ice melting/formation also contribute in the marginal seas and seasonal sea ice extent regions. In the central Arctic Ocean, especially the Canadian Basin, the decadal halosteric effect dominates sea level variability. Satellite altimetric observations and Gravity Re-covery and Climate Experiment (GRACE) measurements could be used to infer freshwater content changes in the Canadian Basin at periods longer than one year. The increasing number of profiles seems to capture fresh-water content changes since 2007, encouraging further data synthesis work with a more complicated interpola-tion method. Further, in-situ hydrographic observations should be enhanced to reveal the freshwater budget and close the gaps between satellite altimetry and GRACE, especially in the marginal seas.

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Section: Discussionmentioning

confidence: 99%

“…However, the sparseness of in-situ profiles, coarse resolution and significant uncertainties of satellite altimetry and GRACE observations result in large gaps in understanding the spatio-temporal variability of the Arctic sea level and its relations to the thermo/halosteric effects and mass changes (Ludwigsen and Andersen, 2021).…”

Section: Introductionmentioning

confidence: 99%

Arctic sea level variability from high-resolution model simulations and implications for the Arctic observing system

Lyu

Serra

Zhou

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…However, due to the smoothing process applied on GRACE measurements (a 500 km Gaussian filter), both the model simulations simulate much stronger rms variability of bottom pressure. The coarse GRACE resolution, uncertainties in the altimetric measurements, and a lack of in situ hydrographic observations results in gaps in closing the budget of sea level trend and changes, especially in the Kara, Laptev, and the East Siberian seas (Ludwigsen and Andersen, 2021), where in situ hydrographic data are rare and altimetric measurements are less correlated with tide gauge data (Armitage et al, 2016).…”

Section: Satellite and In Situ Observationsmentioning

confidence: 99%

“…However, the sparseness of in situ profiles, coarse resolution and significant uncertainties of satellite altimetry and GRACE observations result in large gaps in understanding the spatiotemporal variability of the Arctic sea level and its relations to the thermo-/halosteric effects and mass changes (Ludwigsen and Andersen, 2021). Previous studies mainly focus on the decadal sea level variability (e.g., Koldunov et al, 2014;Proshutinsky et al, 2007;Proshutinsky and Johnson, 1997), and no study has yet fully explored the Arctic sea level variability at different spectral bands, and its dependence on the mass component and the vertical oceanic variability.…”

Section: Introductionmentioning

confidence: 99%

Arctic sea level variability from high-resolution model simulations and implications for the Arctic observing system

et al. 2022

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Abstract. Two high-resolution model simulations are used to investigate the spatiotemporal variability of the Arctic Ocean sea level. The model simulations reveal barotropic sea level variability at periods of < 30 d, which is strongly captured by bottom pressure observations. The seasonal sea level variability is driven by volume exchanges with the Pacific and Atlantic oceans and the redistribution of the water by the wind. Halosteric effects due to river runoff and evaporation minus precipitation ice melting/formation also contribute in the marginal seas and seasonal sea ice extent regions. In the central Arctic Ocean, especially the Canadian Basin, the decadal halosteric effect dominates sea level variability. The study confirms that satellite altimetric observations and Gravity Recovery and Climate Experiment (GRACE) could infer the total freshwater content changes in the Canadian Basin at periods longer than 1 year, but they are unable to depict the seasonal and subseasonal freshwater content changes. The increasing number of profiles seems to capture freshwater content changes since 2007, encouraging further data synthesis work with a more complicated interpolation method. Further, in situ hydrographic observations should be enhanced to reveal the freshwater budget and close the gaps between satellite altimetry and GRACE, especially in the marginal seas.

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“…In this paper, we present the results of the Arctic sea level budget assessment estimated using the latest release (version 2) of the datasets with the focus on the combined GRACE/Argo period from 2003-2016. Compared to previous studies on Arctic sea level budget [11,13,[22][23][24], the novelties of our study include the use of state-of-the-art datasets with specific scientific focus on two 7-year time periods (2003-2009 and 2010-2016) during which the dominant atmospheric forcing over the Arctic Ocean witnessed a drastic change.…”

Section: Introductionmentioning

confidence: 99%

Arctic Sea Level Budget Assessment during the GRACE/Argo Time Period

et al. 2020

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Sea level change is an important indicator of climate change. Our study focuses on the sea level budget assessment of the Arctic Ocean using: (1) the newly reprocessed satellite altimeter data with major changes in the processing techniques; (2) ocean mass change data derived from GRACE satellite gravimetry; (3) and steric height estimated from gridded hydrographic data for the GRACE/Argo time period (2003–2016). The Beaufort Gyre (BG) and the Nordic Seas (NS) regions exhibit the largest positive trend in sea level during the study period. Halosteric sea level change is found to dominate the area averaged sea level trend of BG, while the trend in NS is found to be influenced by halosteric and ocean mass change effects. Temporal variability of sea level in these two regions reveals a significant shift in the trend pattern centered around 2009–2011. Analysis suggests that this shift can be explained by a change in large-scale atmospheric circulation patterns over the Arctic. The sea level budget assessment of the Arctic found a residual trend of more than 1.0 mm/yr. This nonclosure of the sea level budget is further attributed to the limitations of the three above mentioned datasets in the Arctic region.

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Contributions to Arctic sea level from 2003 to 2015

Cited by 7 publications

References 26 publications

Arctic sea level variability from high-resolution model simulations and implications for the Arctic observing system

Arctic sea level variability from high-resolution model simulations and implications for the Arctic observing system

Arctic sea level variability from high-resolution model simulations and implications for the Arctic observing system

Arctic Sea Level Budget Assessment during the GRACE/Argo Time Period

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