World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Super-ensemble Techniques Applied to Wave Forecast: Performance and Limitations : Volume 7, Issue 2 (16/03/2010)

By Lenartz, F.

Click here to view

Book Id: WPLBN0003979549
Format Type: PDF Article :
File Size: Pages 29
Reproduction Date: 2015

Title: Super-ensemble Techniques Applied to Wave Forecast: Performance and Limitations : Volume 7, Issue 2 (16/03/2010)  
Author: Lenartz, F.
Volume: Vol. 7, Issue 2
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2010
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Chiggiato, J., Troupin, C., Rixen, M., Beckers, J., Lenartz, F., & Vandenbulcke, L. (2010). Super-ensemble Techniques Applied to Wave Forecast: Performance and Limitations : Volume 7, Issue 2 (16/03/2010). Retrieved from http://www.worldlibrary.org/


Description
Description: NATO Undersea Research Centre (NURC), Viale San Bartolomeo 400, 19126 La Spezia, Italy. Nowadays, several operational forecasts of surface gravity waves are available for a same region through different forecasting systems. However, their results may considerably diverge, and choosing one single forecasting system among them is not an easy task. A recently developed approach consists in merging different forecasts and past observations into a single multi-model prediction system, called the super-ensemble. First implemented in meteorology, the method has also already been tested with success in oceanography for determining temperature, acoustic properties or surface drift. During the DART06 campaigns organized by the NURC, four wave forecasting systems were simultaneously run in the Adriatic Sea, while significant wave height was measured at six stations and along the tracks of two remote sensors, hence offering an opportunity to evaluate the skills of the super-ensemble techniques. The improvement shown during both the learning and testing periods was essentially due to a bias reduction, though the correlation was also increased. The possibility of extrapolating locally obtained results in the whole domain of interest was assessed against satellite observations. Though definitive conclusions can not be drawn from these experiments, the results open the door for further investigations.

Summary
Super-ensemble techniques applied to wave forecast: performance and limitations

Excerpt
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.; 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{.} P}art1{. {M}odel description and validation, J. Geophys. Res., 104, 7649–7666, 1999.; 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 high-resolution operational wave forecasting system in the Adriatic Sea, J. Mar. Syst., 78, S255–S271, 2009.; Krishnamurti, T., Kishtawal, C., Shin, D., and Williford, E.: Improving tropical precipitation forecasts from a multianalysis superensemble, J. Climate, 13, 4217–4227, 2000{a}.; Krishnamurti, T., Kishtawal, C., Zhang, Z., Larow, T., Bachiochi, D., and Williford, E.: Multimodel ensemble forecasts for weather and seasonal climate, J. Climate, 13, 4196–4216, 2000{b}.; {The WISE {G}roup}: Wave modelling: {T}he state of the art, Progr. Oceanogr., 75, 603–647, 2007.; Kumar, T. V., Krishnamurti, T., Fiorino, M., and Nagata, M.: Multimodel superensemble forecasting of tropical cyclones in the {P}acific, {M}on. {W}eather {R}ev., 131, 574–583, 2003.; Logutov, O. G. and Robinson, A. R.: Multi-model fusion and error parameter estimation, Q. J. Roy. Meteorol. Soc., 131, 3397–3408, 2005.; Pasarić, Z., Belušić, D., and Klaić, Z. B.: Orographic influences on the Adriatic sirocco wind, Ann. Geophys., 25, 1263–1267, 2007.; Pasarić, Z., Belušić, D., and Chiggiato, J.: Orographic effects on meteorological fields over the {A}driatic 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:DOI: 10.1016/j.ocemod.2005.02.002, 2006.; 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: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. D}eterministic forecasting, J. Geophys. Res., 108, 8383, doi:10.1029/2001JD001510, 2003{a.; Shin, D. and Krishnamurti, T.: Short- to medium-range superensemble precipitation forecasts using satellite products: 2. P}robabilistic forecasting, J. Geophys. Res., 108, 8384, doi:10.1029/2001JD001511, 2003{b.; 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, Meteor

 

Click To View

Additional Books


  • Biofouling Protection for Marine Environ... (by )
  • The Improvements of the Ships of Opportu... (by )
  • About Uncertainties in Practical Salinit... (by )
  • Sea Surface Salinity Variability from a ... (by )
  • Quantification of Octacalcium Phosphate,... (by )
  • Heat Loss from the Atlantic Water Layer ... (by )
  • The Sicily Channel Regional Model Foreca... (by )
  • Assimilation of Ocean Colour Data Into a... (by )
  • Technical Note: a Low Cost Unmanned Aeri... (by )
  • Characteristics of the Seasonal Cycle of... (by )
  • Distribution and Transport Processes of ... (by )
  • A Comparison Between Gradient Descent an... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.