integration tide gauge and satellite altimetry for storm surge and sea level change prediction. ole...

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Integration Tide Gauge and Satellite Altimetry for Storm Surge and Sea Level change prediction. Ole B. Andersen and Y. Cheng (DTU, Denmark) Xiaoli Deng, M. Steward, N Idris, and Zahra Gharineiat (Uni NewCastle, Australia)

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Integration Tide Gauge and Satellite Altimetry for Storm Surge

and Sea Level change prediction.

Ole B. Andersen and Y. Cheng (DTU, Denmark)Xiaoli Deng, M. Steward, N Idris,

and Zahra Gharineiat (Uni NewCastle, Australia)

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

2 DTU Space, Technical University of Denmark

Overview

Why use satellite altimetry

Crital issues: Spatio-temporal sampling vs surge/cyclone Availability and accuracy

Accuracy degradation (Coastal and rain). Reliability of surge capturing Importance of residual range corr errors:

Ocean tide correctionMerging with tide gauges (spatial temporal correlation) Hindcast / forecast modelling

Test region: North European ShelfGreat Barrier Reef (Cyclone Helen and Larry)

Conclusions.

Queenland surge

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

3 DTU Space, Technical University of Denmark

Satellite altimetry is well

Esablished for linear

sea level change

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

4 DTU Space, Technical University of Denmark

Sea Level and Storm Surges

Critial issues:

Spatio-temporal sampling vs surge/cyclone

Availability and accuracy

Accuracy degradation (Coastal and rain).

Reliability of surge capturing

Importance of residual range corr errors:

Ocean tide correction

Merging with tide gauges (spatial temporal correlation)

Hindcast / forecast modelling

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

5 DTU Space, Technical University of Denmark

Typical Surges / Cyclones

North sea has mainly external surges generated by wind forcing.

GBR has numerous cyclones (near seasonal)

= Water level recorders

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

6 DTU Space, Technical University of Denmark

Correlations, Water level recorders

Timescales, ~10-60 h

Counterclockwise propagation of sea level anomalies

Autocorrelation Crosscorrelation

Curtesy of J. Hoyer

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

7 DTU Space, Technical University of Denmark

ObservationsSampling:

SatelliteRepeat Period

Track spacing

InclinationCoverage

CryoSat-2 369 8 km 92°(+/-88°)

AltiKa 35 days 80 km 98°(+/-82°)

TOPEX/JASON 10 days 315 km 66.5°

3-4 ongoing missionsJASON-2

Cryosat-2 (SAR)AltiKa (French-India)**HY-2 (China)Sentinel-3 (SAR)

Near Real time data J2+C2: 4-6 hoursAccurcy: 4-6 cm

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

8 DTU Space, Technical University of Denmark

Sea Level and Storm Surges

Critial issues:

√ Spatio-temporal sampling vs surge/cyclone

√ Availability and accuracy

Accuracy degradation (Coastal and rain).

Reliability of surge capturing

Importance of residual range corr errors:

Ocean tide correction

Merging with tide gauges (spatial temporal correlation)

Hindcast / forecast modelling

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

9 DTU Space, Technical University of Denmark

Heavy Rain can be problematic

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

10 DTU Space, Technical University of Denmark

Sea Level and Storm Surges

Critial issues:

√ Spatio-temporal sampling vs surge/cyclone

√ Availability and accuracy

√ Accuracy degradation (Coastal and rain).

Reliability of surge capturing

Importance of residual range corr errors:

Ocean tide correction

Merging with tide gauges (spatial temporal correlation)

Hindcast / forecast modelling

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

11 DTU Space, Technical University of Denmark

Last devastating storm

surge in Britain – 1953

”Data for validation?”

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

12 DTU Space, Technical University of Denmark

High Water in Hvide Sande

Simple 2 and 3 std. deviation test on ”high water”

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

13 DTU Space, Technical University of Denmark

Satellite Obs

One versus two satellite (TOPEX/ENVISAT)

Degradation not an issue

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

14 DTU Space, Technical University of Denmark

Great Barrier Reef – Summer Cyclones

• Helen (January, 04, 2008) Larry (March 19th, 2006)

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

15 DTU Space, Technical University of Denmark

Sea Level and Storm Surges

Critial issues:

√ Spatio-temporal sampling vs surge/cyclone

√ Availability and accuracy

Accuracy degradation (Coastal and rain).

Reliability of surge capturing

Importance of residual range corr errors:

Ocean tide correction

Merging with tide gauges (spatial temporal correlation)

Hindcast / forecast modelling

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

16 DTU Space, Technical University of Denmark

Tide Correction Models

Remove residual tidal signal using the ”pointwise tide model. This enhances

The spatial correlation between tide gauge and

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

17 DTU Space, Technical University of Denmark

Spatio-temporal Correlation

• TOPEX / JASON (17 years) ERS / ENVISAT (12 years)

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

18 DTU Space, Technical University of Denmark

Temporal Correlation at Newlyn

After Detiding – temporal correlation = 0.93 (0.89 FES 2004 / GOT4.7)

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

19 DTU Space, Technical University of Denmark

Sea Level prediction

CAN WE PREDICT/WARN ABOUT INCREASED SEA LEVEL

”STORM SURGES” FROM SATELLITE ALTIMETRY?????

Main issues:

Sampling (fixed tracks, sampling 9 / 17 or 35 days

Availability of ACCURATE real time data (1-6 hours)

Capture the Surge by the altimeter

Merging Tide gauge and Altimetry (observe the same signal)

Establish warning – ”hindcast” high water.

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

20 DTU Space, Technical University of Denmark

Combing Tide gauges and Altimetry

Small time scale, Large spatial scales, high correlation T/P + Gauges

)()()()( 33221 tsshtsshtsshtTP

Least squares fit in every T/P observation

Regression Model

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

21 DTU Space, Technical University of Denmark

Integrating using Neural Network

Test on using 4 gauges along coast of Norway.

Training using one T/P time series

Predicting other satellite points.

Higher temporal correlation using

Neural Network than regression method.

IAHS-IAPSO-IASPEI Assembly, Gothenburg, Sweden, July, 2013

22 DTU Space, Technical University of Denmark

• Satellite altimetry delivers: – Sea surface height– Wave height– Wind Speed

• predefined tracks+sampling

• Satellite altimetry has high temporal/spatial correlation with tide gauges

• Huge potential for ”high water forecasting”

• with tide gauges offers huge potential for improved warning in the future

Comming satellites (Cryosat + Sentinel-3) might offer even better prediction in the future (higher resolution + across track coverage)

Having vacation in Venice this summer…….

Conclusions