Articles | Volume 14, issue 6
https://doi.org/10.5194/os-14-1491-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-14-1491-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Multi-decadal variability in seasonal mean sea level along the North Sea coast
Thomas Frederikse
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology, 4800
Oak Grove Drive, Pasadena, California, USA
Theo Gerkema
NIOZ
Royal Netherlands Institute for Sea Research, Department of Estuarine and
Delta Systems (EDS), and Utrecht University, P.O. Box 140, 4400 AC Yerseke,
the Netherlands
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Tide gauges observe sea level changes, but are also affected by vertical land motion (VLM). Estimation of absolute sea level requires a correction for the local VLM. VLM is either estimated from GNSS observations or indirectly by subtracting tide gauge observations from satellite altimetry observations. Because altimetry and GNSS observations are often not made at the tide gauge location, the estimates vary. In this study we determine the best approach for both methods.
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Marcel Kleinherenbrink, Riccardo Riva, and Thomas Frederikse
Ocean Sci., 14, 187–204, https://doi.org/10.5194/os-14-187-2018, https://doi.org/10.5194/os-14-187-2018, 2018
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Tide gauges observe sea level changes, but are also affected by vertical land motion (VLM). Estimation of absolute sea level requires a correction for the local VLM. VLM is either estimated from GNSS observations or indirectly by subtracting tide gauge observations from satellite altimetry observations. Because altimetry and GNSS observations are often not made at the tide gauge location, the estimates vary. In this study we determine the best approach for both methods.
Riccardo E. M. Riva, Thomas Frederikse, Matt A. King, Ben Marzeion, and Michiel R. van den Broeke
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M. C. H. Tiessen, L. Fernard, T. Gerkema, J. van der Molen, P. Ruardij, and H. W. van der Veer
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Cited articles
Bos, M. S., Fernandes, R. M. S., Williams, S. D. P., and Bastos, L.: Fast Error
Analysis of Continuous GNSS Observations with Missing Data, J. Geodesy, 87, 351–360, https://doi.org/10.1007/s00190-012-0605-0, 2013. a
Calafat, F. M., Chambers, D. P., and Tsimplis, M. N.: Mechanisms of Decadal Sea
Level Variability in the Eastern North Atlantic and the Mediterranean
Sea, J. Geophys. Res.-Oceans, 117, C09022,
https://doi.org/10.1029/2012JC008285, 2012. a
Cassou, C., Terray, L., Hurrell, J. W., and Deser, C.: North Atlantic Winter
Climate Regimes: Spatial Asymmetry, Stationarity with Time, and
Oceanic Forcing, J. Climate, 17, 1055–1068,
https://doi.org/10.1175/1520-0442(2004)017<1055:NAWCRS>2.0.CO;2, 2004. a
Chafik, L., Nilsen, J., and Dangendorf, S.: Impact of North Atlantic
Teleconnection Patterns on Northern European Sea Level, Journal of Marine Science and Engineering, 5, 43, https://doi.org/10.3390/jmse5030043, 2017. a, b, c
Chen, X., Dangendorf, S., Narayan, N., O'Driscoll, K., Tsimplis, M. N., Su, J.,
Mayer, B., and Pohlmann, T.: On Sea Level Change in the North Sea
Influenced by the North Atlantic Oscillation: Local and Remote Steric
Effects, Estuar. Coast. Shelf S., 151, 186–195,
https://doi.org/10.1016/j.ecss.2014.10.009, 2014. a, b
Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Allan, R. J.,
Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G., Bessemoulin, P.,
Brönnimann, S., Brunet, M., Crouthamel, R. I., Grant, A. N., Groisman, P. Y.,
Jones, P. D., Kruk, M. C., Kruger, A. C., Marshall, G. J., Maugeri, M., Mok,
H. Y., Nordli, O., Ross, T. F., Trigo, R. M., Wang, X. L., Woodruff, S. D.,
and Worley, S. J.: The Twentieth Century Reanalysis Project, Q. J. Roy. Meteor. Soc., 137, 1–28,
https://doi.org/10.1002/qj.776, 2011. a
Dangendorf, S., Wahl, T., Hein, H., Jensen, J., Mai, S., and Mudersbach, C.:
Mean Sea Level Variability and Influence of the North Atlantic
Oscillation on Long-Term Trends in the German Bight, Water, 4,
170–195, https://doi.org/10.3390/w4010170, 2012. a
Dangendorf, S., Mudersbach, C., Wahl, T., and Jensen, J.: Characteristics of
Intra-, Inter-Annual and Decadal Sea-Level Variability and the Role of
Meteorological Forcing: The Long Record of Cuxhaven, Ocean Dynam., 63,
209–224, https://doi.org/10.1007/s10236-013-0598-0, 2013. a, b
Dangendorf, S., Calafat, F. M., Arns, A., Wahl, T., Haigh, I. D., and Jensen,
J.: Mean Sea Level Variability in the North Sea: Processes and
Implications, J. Geophys. Res.-Oceans, 119, 6820–6841,
https://doi.org/10.1002/2014JC009901, 2014a. a, b, c, d
Dangendorf, S., Wahl, T., Nilson, E., Klein, B., and Jensen, J.: A New
Atmospheric Proxy for Sea Level Variability in the Southeastern North
Sea: Observations and Future Ensemble Projections, Clim. Dynam., 43,
447–467, https://doi.org/10.1007/s00382-013-1932-4, 2014b. a
Dawson, A.: Eofs: A Library for EOF Analysis of Meteorological,
Oceanographic, and Climate Data, Journal of Open Research Software,
4, e14, https://doi.org/10.5334/jors.122, 2016. a
Dimon, P., Pietrzak, J. D., and Svensmark, H.: Correlations in Sea-Level
Elevations, Phys. Rev. E, 56, 2605–2614,
https://doi.org/10.1103/PhysRevE.56.2605, 1997. a
Frederikse, T., Riva, R., Kleinherenbrink, M., Wada, Y., van den Broeke, M.,
and Marzeion, B.: Closing the Sea Level Budget on a Regional Scale:
Trends and Variability on the Northwestern European Continental
Shelf, Geophys. Res. Lett., 43, 10864–10872,
https://doi.org/10.1002/2016GL070750, 2016a. a
Frederikse, T., Riva, R., Slobbe, C., Broerse, T., and Verlaan, M.: Estimating
Decadal Variability in Sea Level from Tide Gauge Records: An Application
to the North Sea, J. Geophys. Res.-Oceans, 121,
1529–1545, https://doi.org/10.1002/2015JC011174, 2016b. a, b
Gerkema, T. and Duran-Matute, M.: Interannual variability of mean sea level
and its sensitivity to wind climate in an inter-tidal basin, Earth Syst.
Dynam., 8, 1223–1235, https://doi.org/10.5194/esd-8-1223-2017, 2017. a, b
Holgate, S. J., Matthews, A., Woodworth, P. L., Rickards, L. J., Tamisiea,
M. E., Bradshaw, E., Foden, P. R., Gordon, K. M., Jevrejeva, S., and Pugh,
J.: New Data Systems and Products at the Permanent Service for
Mean Sea Level, J. Coastal Res., 288, 493–504,
https://doi.org/10.2112/JCOASTRES-D-12-00175.1, 2013. a
Hurrell, J. W., Kushnir, Y., Ottersen, G., and Visbeck, M.: An Overview of the
North Atlantic Oscillation, in: Geophysical Monograph Series, edited
by: Hurrell, J. W., Kushnir, Y., Ottersen, G., and Visbeck, M., 134,
1–35, American Geophysical Union, Washington, DC,
https://doi.org/10.1029/134GM01, 2003. a, b
Marcos, M. and Tsimplis, M. N.: Forcing of Coastal Sea Level Rise Patterns in
the North Atlantic and the Mediterranean Sea, Geophys. Res. Lett., 34, L18604, https://doi.org/10.1029/2007GL030641, 2007. a, b
Piecuch, C. G., Dangendorf, S., Ponte, R. M., and Marcos, M.: Annual Sea
Level Changes on the North American Northeast Coast: Influence of
Local Winds and Barotropic Motions, J. Climate, 29,
4801–4816, https://doi.org/10.1175/JCLI-D-16-0048.1, 2016. a
PSMSL: Permanent Service for Mean Sea Level, Tide Gauge Data,
available at: http://www.psmsl.org/data/obtaining/, last access:
17 August 2017. a
Pugh, D. and Woodworth, P.: Sea-Level Science: Understanding Tides, Surges,
Tsunamis and Mean Sea-Level Changes, Cambridge University Press,
Cambridge, New York, 2014. a
Slangen, A. B. A., Adloff, F., Jevrejeva, S., Leclercq, P. W., Marzeion, B.,
Wada, Y., and Winkelmann, R.: A Review of Recent Updates of
Sea-Level Projections at Global and Regional Scales, Surv. Geophys., 38, 385–406, https://doi.org/10.1007/s10712-016-9374-2, 2017. a
Tsimplis, M. N., Shaw, A. G. P., Flather, R. A., and Woolf, D. K.: The
Influence of the North Atlantic Oscillation on the Sea-Level around the
Northern European Coasts Reconsidered: The Thermosteric Effects,
Philos. T. R. Soc. A, 364, 845–856, https://doi.org/10.1098/rsta.2006.1740, 2006. a
Wahl, T., Haigh, I., Woodworth, P., Albrecht, F., Dillingh, D., Jensen, J.,
Nicholls, R., Weisse, R., and Wöppelmann, G.: Observed Mean Sea Level
Changes around the North Sea Coastline from 1800 to Present,
Earth-Sci. Rev., 124, 51–67, https://doi.org/10.1016/j.earscirev.2013.05.003,
2013.
a, b
Wakelin, S. L., Woodworth, P. L., Flather, R. A., and Williams, J. A.:
Sea-Level Dependence on the NAO over the NW European Continental
Shelf, Geophys. Res. Lett., 30, 1403, https://doi.org/10.1029/2003GL017041, 2003. a
Wessel, P., Smith, W. H. F., Scharroo, R., Luis, J., and Wobbe, F.: Generic
Mapping Tools: Improved Version Released, Eos, Transactions American
Geophysical Union, 94, 409–410, https://doi.org/10.1002/2013EO450001, 2013. a
Woodworth, P., Teferle, F., Bingley, R., Shennan, I., and Williams, S.: Trends
in UK Mean Sea Level Revisited, Geophys. J. Int., 176,
19–30, https://doi.org/10.1111/j.1365-246X.2008.03942.x, 2009. a
Woodworth, P. L.: Differences between Mean Tide Level and Mean Sea Level,
J. Geodesy, 91, 69–90, https://doi.org/10.1007/s00190-016-0938-1,
2017a. a
Woodworth, P. L.: Sea Level Change in Great Britain between 1859 and
the Present, Geophys. J. Int., 213, 222–236, https://doi.org/10.1093/gji/ggx538,
2017b. a
Yan, Z., Tsimplis, M. N., and Woolf, D.: Analysis of the Relationship between
the North Atlantic Oscillation and Sea-Level Changes in Northwest
Europe, Int. J. Climatol., 24, 743–758,
https://doi.org/10.1002/joc.1035, 2004. a