Intercomparison of the Performance of Operational Ocean Wave Forecasting Systems with Buoy Data

By Jean-Raymond Bidlot, D. Holmes, P. Wittmann, R. Lalbeharry, Hsuan S. Chen. 2002

280 citations recorded by the source corpus.

Subfields: Atmospheric Science, Oceanography

View Paper: https://www.semanticscholar.org/paper/6b92fa7f341b62b58bdceeeeb1fb5dab51452e19

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Citations in the corpus

100-Year Return Value Estimates for Ocean Wind Speed and Significant Wave Height from the ERA-40 Data (2005, methodology): “a. ERA-40 data ERA-40 is the name of ECMWF’s most recent reanalysis of global meteorological quantities, including ocean winds and waves, from 1957 to 2002.”
Wave Modeling—Missing the Peaks (2009, methodology): “However, in daily operational applications, this was compensated by an overestimate of the driving wind speeds (Bidlot et al. 2002) derived from the UKMO meteorological model.”
A machine learning framework to forecast wave conditions (2017, background): “[33] note that 40- to 60-cm RMSEs are typical for”
A New Nonparametric Method to Correct Model Data: Application to Significant Wave Height from the ERA-40 Re-Analysis (2005, methodology): “More details, including the quality controls applied and collocation procedure, can be found in Caires and Sterl (2003b) and Bidlot et al. (2002).”
Assessment of the reliability of wave observations from voluntary observing ships: Insights from the validation of a global wind wave climatology based on voluntary observing ship data (2003, methodology): “To test whether the separation of sea and swell in VOS and in WAM are equivalent we applied the limits as established in WAM [Bidlot et al., 2001].”
Climatology, variability and extrema of ocean waves: the Web‐based KNMI/ERA‐40 wave atlas (2005, methodology): “A distinguishing feature of ECMWF’s model is its coupling to a wave model.”
A global wave parameter database for geophysical applications. Part 1: Wave-current turbulence interaction parameters for the open ocean based on traditional parameterizations (2008, methodology): “We have thus chosen to use the WMO-IOC Joint Commission on Oceanography and Marine Meteorology (JCOMM) intercomparison data for the year 2006 (Bidlot et al., 2002, 2007b) which includes 214 buoys and platforms, with data for Hs and Tp or Tm02 (depending on instrumentation packages), averaged over a…”
An improved C-band scatterometer ocean geophysical model function: CMOD5 (2007, methodology): “Wind speed at buoy observation height is transformed [ Bidlot et al., 2002 ] to 10 m height by applying a logarithmic profile, using a Charnock constant of 0.018 (other values in that range give very similar results).”
Error Estimation of Buoy, Satellite, and Model Wave Height Data (2007, methodology): “Superobservations for buoys are obtained by time averaging 5-hourly observations following the quality control procedure of Bidlot et al. (2002), except that the time window is centered on the altimeter superobservations time.”
An empirical approach for the retrieval of integral ocean wave parameters from synthetic aperture radar data (2007, methodology): “The 2-D wave spectra are given on a polar grid with 30 directional resolution and 25 frequencies ranging from fmin = 0.04177 Hz to fmax = 0.41 Hz. Details on the performance of the ECMWF model in 1996 can be found in the work of Janssen et al. [1997] and Bidlot et al. [2002] .”