1 verification of wave forecast models martin holt jim gunson damian holmes-bell
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Verification of wave forecast models
Martin HoltJim Gunson
Damian Holmes-Bell
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Verification
Models are verified against in-situ observations.
Observations from moored buoys and platforms: wave height, wind speed, wave period.
Observations from satellites: wave height, wind speed, wave energy spectrum
Monthly performance statistics are produced and monitored.
International collaboration to validate ERS-2 and Envisat missions.
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Buoy locations (1995!)
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•Started 1995
•Met Office, ECMWF, NCEP, FNMOC, Canada, Meteo-France
•Each centre co-locates model and moored buoy data in agreed format and exchanges monthly by ftp.
•Datasets collated and statistics prepared
•Published results: Bidlot, Holmes, Wittmann, Lalbeharry, Chen 2002, Weather and Forecasting 17
Global wave model verification exchange
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Global wave model verification exchangetimeseries wave height bias December 1996 to December 2002
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Global wave model verification exchangetimeseries peak period bias December 1996 to December 2002
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Global wave model verification exchangetimeseries wind speed bias December 1996 to December 2002
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Global wave model verification exchangeFebruary 2003
Bias through 5 day forecast
(top) Hs
(middle) windspeed
(lower) peak period
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Global wave model verification exchangeFebruary 2003
SD through 5 day forecast
(top) Hs
(middle) windspeed
(lower) peak period
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Satellite radar altimeter
ERS-2 (and now Envisat)
Co-located wave height & wind speed
1 observation per second =7km
use a 9 second average (for approx 60km interval) or 20 second average for assimilation
needs careful quality control
– buddy check
– background check
– climatology check
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Satellite Altimetersalong-track wave height
ERS-2
Envisat
23 January 2003
Track crossing central South Pacific
Some outliers are close to land
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Satellite Altimeter
ENVISAT RA-2 Ku
Wave height
March 2003 all data
before quality
control.
Red indicates rain
flag set
black crosses show
mean value in bin
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Satellite Synthetic Aperture Radar• 5km x 5km vignettes taken every 200km ERS-2 (every 100 km Envisat)
• Values at 12 wavelengths(100m - 1000m) and 12 directions in half-plane.
• Directional ambiguity
• Nonlinear transformation from wave energy spectrum from SAR product
• Software developed at DLR (Susanne Lehner, Johannes Schulz-Stellenfleth) and the Met Office to perform inversion.
• Azimuthal cutoff wave model supplies info
• Compare modelled spectra with retrieved spectra
Processing
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Comparison of modelled spectra with SARexample 12 hours data compare Hs
observed
Model
co-locations in time at 30 minute intervals
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Comparison of modelled spectra with SARexample 12 hours data compare Hs for 18
second waves
Demonstrates need for improved observation retrieval at longer wave periods
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Comparison of modelled spectra with SARexample 12 hours data compare Hs for waves of
10 second period
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Comparison of modelled spectra with ERS-2 SAR
Pacific Swell example 6.68N 122Wtop left: SAR data
top right model wave energy spectrum
bottom left: retrieved SAR wave energy spectrum
bottom right comparison 1d spectra (black model red SAR)
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Comparison of modelled spectra with ERS-2 SAR
Windsea example 48S 30Wtop left: SAR data
top right model wave energy spectrum
bottom left: retrieved SAR wave energy spectrum
bottom right comparison 1d spectra (black model red SAR)
Hs 4.62m model 3.13m SAR
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Comparison of modelled spectra with ERS-2 SAR
Windsea example 66S 91Wtop left: SAR data
top right model wave energy spectrum
bottom left: retrieved SAR wave energy spectrum
bottom right comparison 1d spectra (black model red SAR)
Hs 5.85m model 6.75m SAR
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SUMMARY
•For global and regional wave models, validation is carried out against instrumented moored buoy observations of wave height, wave period and windspeed.
•Validation against altimeter data requires careful quality control when used in near-real time.
•Validation against satellite retrieved wave spectra needs further development of the retrieval scheme
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SPARE SLIDES FOLLOW
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Observing waves with SAR
Synthetic Aperture Radar
Flown on ERS-2, archived daily
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The SAR observation
Hydrodynamic modulation
Tilt modulation
• Bragg scattering of microwaves•Two-scale model of ocean surface: ripples and long waves• Doppler effect used to resolve features
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Remote Sensing of waves: SAR