Consensus Forecasts of Modeled Wave Parameters

Abstract The use of numerical guidance has become integral to the process of modern weather forecasting. Using various techniques, postprocessing of numerical model output has been shown to mitigate some of the deficiencies of these models, producing more accurate forecasts. The operational consensus forecast scheme uses past performance to bias-correct and combine numerical forecasts to produce an improved forecast at locations where recent observations are available. This technique was applied to forecasts of significant wave height (Hs), peak period (Tp), and 10-m wind speed (U10) from 10 numerical wave models, at 14 buoy sites located around North America. Results show the best forecast is achieved with a weighted average of bias-corrected components for both Hs and Tp, while a weighted average of linear-corrected components gives the best results for U10. For 24-h forecasts, improvements of 36%, 47%, and 31%, in root-mean-square-error values over the mean raw model components are achieved, or 14%, 22...

[1]  T. Evgeniou,et al.  To combine or not to combine: selecting among forecasts and their combinations , 2005 .

[2]  S. Caires,et al.  Validation of ocean wind and wave data using triple collocation , 2003 .

[3]  On ensemble prediction of ocean waves , 2002 .

[4]  A. Sterl,et al.  Intercomparison of Different Wind–Wave Reanalyses , 2004 .

[5]  Hendrik L. Tolman,et al.  A Third-Generation Model for Wind Waves on Slowly Varying, Unsteady, and Inhomogeneous Depths and Currents , 1991 .

[6]  H. Glahn,et al.  The Use of Model Output Statistics (MOS) in Objective Weather Forecasting , 1972 .

[7]  W. J. Steenburgh,et al.  Strengths and Weaknesses of MOS, Running-Mean Bias Removal, and Kalman Filter Techniques for Improving Model Forecasts over the Western United States , 2007 .

[8]  Elizabeth E. Ebert,et al.  Performance of Hourly Operational Consensus Forecasts (OCFs) in the Australian Region , 2007 .

[9]  J. Bidlot,et al.  Verification of the ECMWF Wave Forecasting System against Buoy and Altimeter Data , 1997 .

[10]  Diana J. M. Greenslade,et al.  Consensus of Numerical Model Forecasts of Significant Wave Heights , 2007 .

[11]  P. Queffeulou Long-Term Validation of Wave Height Measurements from Altimeters , 2004 .

[12]  Nicolas Picot,et al.  Envisat Ocean Altimetry Performance Assessment and Cross-calibration , 2006, Sensors (Basel, Switzerland).

[13]  Robert L. Winkler,et al.  Limits for the Precision and Value of Information from Dependent Sources , 1985, Oper. Res..

[14]  N. Booij,et al.  A third-generation wave model for coastal regions-1 , 1999 .

[15]  M. Donelan,et al.  Dynamics and Modelling of Ocean Waves , 1994 .

[16]  I. Simmonds,et al.  Validation of Jason-1 and Envisat Remotely Sensed Wave Heights , 2009 .

[17]  J. Bidlot,et al.  Intercomparison of the Performance of Operational Ocean Wave Forecasting Systems with Buoy Data , 2002 .

[18]  T. Wonnacott,et al.  Introductory statistics for business and economics , 1972 .

[19]  B Efron,et al.  Statistical Data Analysis in the Computer Age , 1991, Science.

[20]  Chermelle Engel,et al.  Operational Consensus Forecasts , 2005 .