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Slide 1The Wave Model - Last part Validation of wind & wave analysis using satellite & buoy. Altimeters onboard ERS-1/2, ENVISAT and Jason Quality is monitored.

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Presentation on theme: "Slide 1The Wave Model - Last part Validation of wind & wave analysis using satellite & buoy. Altimeters onboard ERS-1/2, ENVISAT and Jason Quality is monitored."— Presentation transcript:

1 Slide 1The Wave Model - Last part Validation of wind & wave analysis using satellite & buoy. Altimeters onboard ERS-1/2, ENVISAT and Jason Quality is monitored daily. Monthly collocation plots SD m for waves (recent SI 12-15%) SD m/s for wind (recent SI 16-18%) Wave Buoys (and other in-situ instruments) Monthly collocation plots SD m for waves (recent SI 16-20%) SD m/s for wind (recent SI 16-21%)

2 Slide 2The Wave Model - Last part WAM first-guess wave height against ENVISAT Altimeter measurements (June 2003 – May 2004)

3 Slide 3The Wave Model - Last part Global wave height RMSE between ERS-2 Altimeter and WAM FG (thin navy line is 5-day running mean ….. thick red line is 30-day running mean)

4 Slide 4The Wave Model - Last part Analysed wave height and periods against buoy measurements for February to April H S (m) model H S (m) buoy 0 HS ENTRIES: Peak Period Tp (sec.) buoy Peak Period Tp (sec.) model TP ENTRIES: SYMMETRIC SLOPE = CORR COEF = SI = RMSE = BIAS = LSQ FIT: SLOPE = INTR = BUOY MEAN = STDEV = MODEL MEAN = STDEV = ENTRIES = SYMMETRIC SLOPE = CORR COEF = SI = RMSE = BIAS = LSQ FIT: SLOPE = INTR = BUOY MEAN = STDEV = MODEL MEAN = STDEV = ENTRIES = Mean Period Tz (sec.) buoy Mean Period Tz (sec.) model TZ ENTRIES: SYMMETRIC SLOPE = CORR COEF = SI = RMSE = BIAS = LSQ FIT: SLOPE = INTR = BUOY MEAN = STDEV = MODEL MEAN = STDEV = ENTRIES = 6105 Wave height Peak periodMean period

5 Slide 5The Wave Model - Last part Global wave height RMSE between buoys and WAM analysis

6 Slide 6The Wave Model - Last part Quality of wave forecast Compare forecast with verifying analysis. Forecast error, standard deviation of error ( ), persistence. Period: three months (January-March 1995). Tropics is better predictable because of swell: Daily errors for July-September 1994 Note the start of Autumn. New: 1. Anomaly correlation 2. Verification of forecast against buoy data.

7 Slide 7The Wave Model - Last part Significant wave height anomaly correlation and st. deviation of error over 365 days for years Northern Hemisphere (NH)

8 Slide 8The Wave Model - Last part Significant wave height anomaly correlation and st. deviation of error over 365 days for years Tropics

9 Slide 9The Wave Model - Last part Significant wave height anomaly correlation and st. deviation of error over 365 days for years Southern Hemisphere (SH)

10 Slide 10The Wave Model - Last part RMSE of * significant wave height, * 10m wind speed and * peak wave period of different models as compared to buoy measurements for February to April 2005

11 Slide 11The Wave Model - Last part 3. Benefits for Atmospheric Modelling 3.1. Use as Diagnostic Tool Discovered inconsistency between wind speed and stress and resolved it. Over-activity of atmospheric model during the forecast: mean forecast error versus time.

12 Slide 12The Wave Model - Last part 3.2. Coupled Wind-Wave Modelling Coupling scheme: Impact on depression (Doyle). Impact on climate [extra tropic]. Impact on tropical wind field ocean circulation. Impact on weather forecasting. ATM WAM t u 10 t u 10 time

13 Slide 13The Wave Model - Last part WAM – IFS Interface A t m o s p h e r i c M o d e l qTP air z i / L (U 10,V ) W a v e M o d e l

14 Slide 14The Wave Model - Last part Simulated sea-level pressure for uncoupled and coupled simulations for the 60 h time uncoupledcoupled mb963.0 mb U lml > 25 m/s 1000 km

15 Slide 15The Wave Model - Last part Scores of FC 1000 and 500 mb geopotential for SH (28 cases in ~ December 1997) coupled uncoupled

16 Slide 16The Wave Model - Last part Standard deviation of error and systematic error of forecast wave height for Tropics (74 cases: 16 April until 28 June 1998). coupled

17 Slide 17The Wave Model - Last part Global RMS difference between ECMWF and ERS-2 scatterometer winds (8 June – 14 July 1998) coupling ~20 cm/s (~10%) reduction

18 Slide 18The Wave Model - Last part Change from 12 to 24 directional bins: Scores of 500 mb geopotential for NH and SH (last 24 days in August 2000)


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