[en] Nowadays, several operational ocean wave forecasts are available for a same region. These predictions may considerably differ, and to choose the best one is generally a difficult task. The super-ensemble approach, which consists in merging different forecasts and past observations into a single multi-model prediction system, is evaluated in this study. During the DART06 campaigns organized by the NATO Undersea Research Centre, four wave forecasting systems were simultaneously run in the Adriatic Sea, and significant wave height was measured at six stations as well as along the tracks of two remote sensors. This effort provided the necessary data set to compare the skills of various multi-model combination techniques. Our results indicate that a super-ensemble based on the Kalman Filter improves the forecast skills: The bias during both the hindcast and forecast periods is reduced, and the correlation coefficient is similar to that of the best individual model. The spatial extrapolation of local results is not straightforward and requires further investigation to be properly implemented.
Research Center/Unit :
MARE - Centre Interfacultaire de Recherches en Océanologie - ULiège
Disciplines :
Earth sciences & physical geography
Author, co-author :
Lenartz, Fabian ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Beckers, Jean-Marie ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Chiggiato, Jacopo; NATO Undersea Research Centre (NURC) > Viale San Bartolomeo 400 > 19126 La Spezia, Italy
Mourre, Baptiste; NATO Undersea Research Centre (NURC) > Viale San Bartolomeo 400 > 19126 La Spezia, Italy
Troupin, Charles ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Vandenbulcke, Luc ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Rixen, Michel; NATO Undersea Research Centre (NURC) > Viale San Bartolomeo 400 > 19126 La Spezia, Italy
Language :
English
Title :
Super-ensemble techniques applied to wave forecast: performance and limitations
Ardhuin, F., Jenkins, A. D., Hauser, D., Reniers, A., and Chapron, B.: Waves and operational oceanography: toward a coherent description of the upper ocean, Eos Transactions, American Geophysical Union, 86, 37-44, 2005.
Booij, N., Ris, R. C., and Holthuijsen, L. H.: A third-generation wave model for coastal regions, Part1., Model description and validation, J. Geophys. Res., 104, 7649-7666, 1999.
Cavaleri, L. and Bertotti, L.: In search of the correct wind and wave fields in a minor basin, Mon. Weather Rev., 125, 1964-1975, 1997.
Cavaleri, L. and Sclavo, M.: The calibration of wind and wav model data in the Mediterranean Sea, Coast. Eng., 53, 613-627, 2006.
Dykes, J., Wang, D., and Book, J.: An Evaluation of a highresolution operational wave forecasting system in the Adriatic Sea, J. Mar. Syst., 78, S255-S271, 2009.
Hwang, P., Teague, W., Jacobs, G., and Wang, D.: A statistical comparison of wind speed, wave height, and wave period derived from satellite altimeters and ocean buoys in the Gulf of Mexico region, J. Geophys. Res., 103, 1998.
Krishnamurti, T., Kishtawal, C., Shin, D., and Williford, E.: Improving tropical precipitation forecasts from a multianalysis superensemble, J. Climate, 13, 4217-4227, 2000a.
Krishnamurti, T., Kishtawal, C., Zhang, Z., Larow, T., Bachiochi, D., andWilliford, E.: Multimodel ensemble forecasts for weather and seasonal climate, J. Climate, 13, 4196-4216, 2000b.
Kumar, T. V., Krishnamurti, T., Fiorino, M., and Nagata, M.: Multimodel superensemble forecasting of tropical cyclones in the Pacific, Mon. Weather Rev., 131, 574-583, 2003. (Pubitemid 37030933)
Logutov, O. G. and Robinson, A. R.: Multi-model fusion and error parameter estimation, Q. J. Roy. Meteorol. Soc., 131, 3397-3408, 2005.
Pasaríc, Z., Belusíc, D., and Klaíc, Z. B.: Orographic influences on the Adriatic sirocco wind, Ann. Geophys., 25, 1263-1267, 2007, http://www.ann-geophys.net/25/1263/2007/.
Pasaríc, Z., Belusíc, D., and Chiggiato, J.: Orographic effects on meteorological fields over the Adriatic from different models, J. Mar. Syst., 78, S90-S100, 2009.
Rixen, M. and Ferreira-Coelho, E.: Operational prediction of acoustic properties in the ocean using multi-model statistics, Ocean Modelling, 11, 428-440, doi:10.1016/j.ocemod.2005.02.002, 2006. (Pubitemid 41258957)
Rixen, M. and Ferreira-Coelho, E.: Operational surface drift prediction using linear and non-linear hyper-ensemble statistics on atmospheric and ocean models, J. Mar. Syst., 65, 105-121, 2007.
Rixen, M., Book, J. W., Carta, A., Grandi, V., Gualdesi, L., Stoner, R., Ranelli, P., Cavanna, A., Zanasca, P., Baldasserini, G., Trangeled, A., Lewis, C., Trees, C., Grasso, R., Giannechini, S., Fabiani, A., Merani, D., Berni, A., Leonard, M., Martin, P., Rowley, C., Hulbert, M., Quaid, A., Goode, W., Preller, R., Pinardi, N., Oddo, P., Guarnieri, A., Chiggiato, J., Carniel, S., Russo, A., Tudor, M., Lenartz, F., and Vandenbulcke, L.: Improved ocean prediction skill and reduced uncertainty in the coastal region from multi-model super-ensembles, J. Mar. Syst., 78, S282-S289, doi:10.1016/j.jmarsys.2009.01. 014, 2009.
Shin, D. and Krishnamurti, T.: Short- to medium-range superensemble precipitation forecasts using satellite products: 1. Deterministic forecasting, J. Geophys. Res., 108, 8383, doi:10.1029/2001JD001510, 2003a.
Shin, D. and Krishnamurti, T.: Short- to medium-range superensemble precipitation forecasts using satellite products: 2. Probabilistic forecasting, J. Geophys. Res., 108, 8384, doi:10.1029/2001JD001511, 2003b.
Signell, R. P., Carniel, S., Cavaleri, L., Chiggiato, J., Doyle, J. D., Pullen, J., and Sclavo, M.: Assessment of wind quality for oceanographic modelling in semi-enclosed basins, J. Mar. Syst., 53, 217-233, 2005.
Steppeler, J., Doms, G., Shatter, U., Bitzer, H. W., Gassmann, A., Damrath, U., and Gregoric, G.: Meso-gamma scale forecasts using the nonhydrostatic model LM, Meteorol. Atmos. Phys., 82, 75-96, 2003.
Stewart, R.: Ocean wave measurement techniques. In: Air Sea Interaction, Instruments and Methods., Plenum Press, 1980.
Strong, B., Brumley, B., Terray, E., and Stone, G.: The performance of ADCP-derived directional wave spectra and comparison with other independent measurements., Proc. MTS/IEEE Oceans 2000 Conf. Rhode Island, 1195-1203, 2000.
The WISE Group: Wave modelling: The state of the art, Progr. Oceanogr. 75: 603-647, 2007.
Valentini, A., Delli Passeri, L., Paccagnella, T., Patruno, P., Marsigli, C., Cesari, D., Deserti, M., Chiggiato, J., and Tibaldi, S.: The sea state forecast system of ARPA-SIM, Bollettino di Geofisica Teorica e Applicata, 48, 333-349, 2007.
Vandenbulcke, L., Beckers, J.-M., Lenartz, F., Barth, A., Poulain, P.-M., Aidonidis, M., Meyrat, J., Ardhuin, F., Tonani, M., Fratianni, C., Torrisi, L., Pallela, D., Chiggiato, J., Tudor, M., Book, J., Martin, P., Peggion, G., and Rixen, M.: Super-ensemble techniques: Application to surface drift prediction, Progr. Oceanogr., 82, 149-167, doi:10.1016/j.pocean.2009.06.002, 2009.
WAMDI Group: The WAM model, a third-generation ocean wave prediction model, J. Phys. Oceanogr., 18, 1775 - 1810, 1988.
