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ANNUAL AND SEASONAL ANNUAL AND SEASONAL VARIABILITY OF VARIABILITY OF WIND WAVE PARAMETERS WIND WAVE PARAMETERS ON THE ON THE BLACK SEA BLACK SEA F.N. Gippius, V.S. Arkhipkin and G.V. Surkova Lomonosov Moscow State University 11.G.34.31.0007

F.N. Gippius, V.S. Arkhipkin and G.V. Surkova Lomonosov Moscow State University 11.G.34.31.0007

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Annual and seasonal variability of wind wave parameters on the Black Sea. F.N. Gippius, V.S. Arkhipkin and G.V. Surkova Lomonosov Moscow State University 11.G.34.31.0007. Aims & Tasks. - PowerPoint PPT Presentation

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Page 1: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

ANNUAL AND SEASONAL VARIABILITY ANNUAL AND SEASONAL VARIABILITY OF WIND WAVE PARAMETERS OF WIND WAVE PARAMETERS

ON THE BLACK SEA ON THE BLACK SEA

F.N. Gippius, V.S. Arkhipkin and G.V. SurkovaLomonosov Moscow State University

11.G.34.31.0007

Page 2: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

Aims & TasksAims & Tasks

The aim is an assessment of wind waves parameters and their multiannual variability

on the Black Sea

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Tasks:•Preparation of a digital terrain model of the Black Sea’s bottom and coasts•Preparation of a meteorological dataset•Simulation of wind waves on the Black Sea•Evaluation of seasonal average and extreme parameters•Evaluation of multiannual trends•Analysis and interpretation of results

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Page 3: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

DATA & METHODS

Page 4: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

DTM of bottom and coastsDTM of bottom and coasts

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Basis – nautical chart of the Black Sea, M=1:2,5 Mio| Golden Software MapViewer was used to digitize the map | Result – a 129 ×242 cells matrix with 5 km spatial resolution

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Page 5: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

Meteorological data & Wave modelMeteorological data & Wave model

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Page 6: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

MODEL VALIDATION

Page 7: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

AVISO satellite altimetryAVISO satellite altimetry

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• Late 2009 – nowaday• 5-day averaged

multimission SWH values• 1° × 1° spatial resolution

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Page 8: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

SWAN vs AVISOSWAN vs AVISO

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Page 9: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

RESULTS

Page 10: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

Average wave parametersAverage wave parameters

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SWH P

L

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Page 11: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

Seasonal SWH maximaSeasonal SWH maxima

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Winter Spring

Summer Autumn

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Page 12: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

Typical storm casesTypical storm cases

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0 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 E3 0

4 0

5 0

6 0

7 0

8 0N

- 2 8

- 2 0

- 1 2

- 4

4

1 2

2 0

2 8

0 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 E3 0

4 0

5 0

6 0

7 0

8 0N

- 2 8

- 2 0

- 1 2

- 4

4

1 2

2 0

2 8

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Page 13: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

Total storm durationTotal storm duration

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Page 14: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

Extreme wave parametersExtreme wave parametersMaximal wave height possible once in 100 years (m)

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Page 15: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

Interannual storminess variabilityInterannual storminess variabilityAnnual total duration of storms (h)

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r ≈ -0.35

Page 16: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

Interannual storminess variabilityInterannual storminess variabilityAnnual total duration of storms (h)

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r ≈ -0.25

Page 17: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

Seasonal storminess variabilitySeasonal storminess variability

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Page 18: F.N. Gippius, V.S. Arkhipkin and G.V.  Surkova Lomonosov  Moscow State University 11.G.34.31.0007

ConclusionConclusion1.1. Wave parameters of the Black Sea were simulated Wave parameters of the Black Sea were simulated

continuously from 1948 to 2010.continuously from 1948 to 2010.

2.2. Seasonal extreme wind parameters and their spatial Seasonal extreme wind parameters and their spatial distribution were assessed.distribution were assessed.

3.3. Trends of interannual duration and quantity of storms Trends of interannual duration and quantity of storms derived. Practically no alterations of storm activity derived. Practically no alterations of storm activity observed over the entire hindcast period.observed over the entire hindcast period.

4.4. Increases and recessions of storminess on the Black Sea Increases and recessions of storminess on the Black Sea correlate with the NAO indexcorrelate with the NAO index

Further reading:Further reading:Arkhipkin, V. S., Gippius, F. N., Koltermann, K. P., and Surkova, G. V.: Wind

waves on the Black Sea: results of a hindcast study, Nat. Hazards Earth Syst. Sci. Discuss., 2, 1193-1221, doi:10.5194/nhessd-2-1193-2014, 2014.

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