Detecting non-linear sea-level variations in tide …...1 Detecting non-linear sea-level variations...

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1 Detecting non-linear sea-level variations in tide gauge records: A study case along the Dutch coast D.B. Steffelbauer, R.E.M. Riva , J.S. Timmermans, J. Arens, J. Kwakkel, & M. Bakker TU Delft Climate Institute, The Netherlands Accommodate Retreat Protect Advance Rationale Early detection of non-linear sea-level variations at decadal scales is crucial for long-term infrastructure planning.

Transcript of Detecting non-linear sea-level variations in tide …...1 Detecting non-linear sea-level variations...

Page 1: Detecting non-linear sea-level variations in tide …...1 Detecting non-linear sea-level variations in tide gauge records: A study case along the Dutch coast D.B. Steffelbauer, R.E.M.

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Detecting non-linear sea-level variations in tide gauge records: A study case along the Dutch coastD.B. Steffelbauer, R.E.M. Riva, J.S. Timmermans, J. Arens, J. Kwakkel, & M. Bakker TU Delft Climate Institute, The Netherlands

AccommodateRetreatProtect

Advance

RationaleEarly detection of non-linear sea-level variations at decadal scales is crucial for long-term infrastructure planning.

Page 2: Detecting non-linear sea-level variations in tide …...1 Detecting non-linear sea-level variations in tide gauge records: A study case along the Dutch coast D.B. Steffelbauer, R.E.M.

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Global vs. regional, and trend dependence on record length

Dangendorf, S., Hay, C., Calafat, F.M. et al. (2019) Persistent acceleration in global sea-level rise since the 1960s. Nat. Clim. Chang. 9, 705–710.Baart, F., Rongen, G., Hijma, M. et al. (2019). Zeespiegelmonitor 2018, Delft, The Netherlands.

Average linear trend: 1948-2018: 2.0 ± 0.5 mm/yr( y(t) = kt + d ) 2013-2018: 8.0 ± 6.0 mm/yr

Starting year (records until 2017/2018)

Page 3: Detecting non-linear sea-level variations in tide …...1 Detecting non-linear sea-level variations in tide gauge records: A study case along the Dutch coast D.B. Steffelbauer, R.E.M.

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Unobserved Components Model (UCM)1 Tren

d

Exte

rnal

Seas

onal

Noise

1Durbin, J., & Koopman, S. J. (2012). Time Series Analysis by State Space Methods: Second Edition. Oxford Statistical Science Series.

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Breakpoint detection and piecewise linear function fitBreakpoint ≈ 1993 (p=0.013)

Linear trend: 1900-1993: 1.77 ± 0.01 mm/yr1993-2018: 2.6 ± 0.1 mm/yr