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Variational Assimilation of Lagrangian Trajectories in the Mediterranean Ocean Forecasting System : Volume 8, Issue 2 (30/03/2012)

By Nilsson, J. A. U.

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Book Id: WPLBN0004020574
Format Type: PDF Article :
File Size: Pages 11
Reproduction Date: 2015

Title: Variational Assimilation of Lagrangian Trajectories in the Mediterranean Ocean Forecasting System : Volume 8, Issue 2 (30/03/2012)  
Author: Nilsson, J. A. U.
Volume: Vol. 8, Issue 2
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Dobricic, S., Pettenuzzo, D., U. Nilsso, J. A., Poulain, P., & Pinardi, N. (2012). Variational Assimilation of Lagrangian Trajectories in the Mediterranean Ocean Forecasting System : Volume 8, Issue 2 (30/03/2012). Retrieved from http://worldlibrary.net/


Description
Description: National Institute of Geophysics and Vulcanology (INGV), Via Donato Creti 12, 40128 Bologna, Italy. A novel method for three-dimensional variational assimilation of Lagrangian data with a primitive-equation ocean model is proposed. The assimilation scheme was implemented in the Mediterranean ocean Forecasting System and evaluated for a 4-month period. Four experiments were designed to assess the impact of trajectory assimilation on the model output, i.e. the sea-surface height, velocity, temperature and salinity fields. It was found from the drifter and Argo trajectory assimilation experiment that the forecast skill of surface-drifter trajectories improved by 15 %, that of intermediate-depth float trajectories by 20 %, and moreover, that the forecasted sea-surface height fields improved locally by 5 % compared to satellite data, while the quality of the temperature and salinity fields remained at previous levels. In conclusion, the addition of Lagrangian trajectory assimilation proved to reduce the uncertainties in the model fields, thus yielding a higher accuracy of the ocean forecasts.

Summary
Variational assimilation of Lagrangian trajectories in the Mediterranean ocean Forecasting System

Excerpt
Coppini, G., De Dominicis, M., Zodiatis, G., Lardner, R., Pinardi, N., Santoleri, R., Colella, S., Bignami, F., Hayes, D. R., Soloviev, D., Georgiou, G., and Kallos, G.: Hindcast of oil-spill pollution during the Lebanon crisis in the {E}astern {M}editerranean, {J}uly–{A}ugust 2006, Mar. Pollut. Bul., 62, 140–153, doi:10.1016/j.marpolbul.2010.08.021, 2011.; Dobricic, S. and Pinardi, N.: An oceanographic three-dimensional variational data assimilation scheme, Ocean Modell., 22, 89–105, 2008.; Dobricic, S., Pinardi, N., Adani, M., Bonazzi, A., Fratianni, C., and Tonani, M.: Mediterranean {F}orecasting {S}ystem: an improved assimilation scheme for sea-level anomaly and its validation, Q. J. R. Meteorol. Soc., 131, 3627–3642, 2005.; Dobricic, S., Pinardi, N., Testor, P., and Send, U.: Impact of data assimilation of glider observations in the {I}onian {S}ea ({E}astern {M}editerranean), Dyn. Atm. Ocean., 50, 78–92, 2010.; Fan, S., Oey, L.-Y., and Hamilton, P.: Assimilation of drifter and satellite data in a model of the {N}ortheastern {G}ulf of {M}exico, Cont. Shelf. Res., 24, 1001–1013, 2004.; Gerin, R., Poulain, P.-M., Taupier-Letage, I., Millot, C., Ben Ismail, S., and Sammari, C.: Surface circulation in the Eastern Mediterranean using drifters (2005-�2007), Ocean Sci., 5, 559–574, doi:10.5194/os-5-559-2009, 2009.; Hansen, D. V. and Poulain, P.-M.: Quality control and interpolations of WOCE-TOGA drifter data, J. Atm. Ocean. Technol., 13, 900–909, 1996.; Hamad, N., Millot, C., and Taupier-Letage, I.: A new hypothesis about the surface circulation in the eastern basin of the {M}editerranean {S}ea, Prog. Oceanogr., 66, 287–298, 2005.; Hamad, N., Millot, C., and Taupier-Letage, I.: The surface circulation in the eastern basin of the {M}editerranean {S}ea, Sci. Mar., 70, 457–503, 2006.; Le Traon, P. Y., Nadal, F., and Ducet, N.: An improved mapping method of multisatellite altimeter data, J. Atm. Ocean. Technol., 15, 522–533, 2003.; Lorenc, A. C.: Development of an operational variational assimilation scheme, J. Meteorol. Soc. Japan, 75, 339–346, 1997.; Madec, G., Delecluse, P., Imbard, M., and Levy, C.: OPA8.1 {O}cean {G}eneral {C}irculation {M}odel reference manual, Note du Pole de modelisazion, Institut Pierre-Simon Laplace (IPSL), France, 11, 1998.; Manzella, G. M. R., Reseghetti, F., Coppini, G., Borghini, M., Cruzado, A., Galli, C., Gertman, I., Gervais, T., Hayes, D., Millot, C., Murashkovsky, A., Özsoy, E., Tziavos, C., Velasquez, Z., and Zodiatis, G.: The improvements of the ships of opportunity program in MFS-TEP, Ocean Sci., 3, 245–258, doi:10.5194/os-3-245-2007, 2007.; Marullo, S., Buongiorno Nardelli, B., Guarracino, M., and Santoleri, R.: Observing the Mediterranean Sea from space: 21 years of Pathfinder-AVHRR sea surface temperatures (1985 to 2005): re-analysis and validation, Ocean Sci., 3, 299–310, doi:10.5194/os-3-299-2007, 2007.; Menna, M. and Poulain, P. M.: Mediterranean intermediate circulation estimated from Argo data in 2003-�2010, Ocean Sci., 6, 331–343, doi:10.5194/os-6-331-2010, 2010.; Molcard, A., Piterbarg, L. I., Griffa, A. M. O. T., and Mariano, A. J.: Assimilation of drifter observations for t

 

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