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Impacts of Mean Dynamic Topography on a Regional Ocean Assimilation System : Volume 12, Issue 3 (15/06/2015)

By Yan, C.

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Book Id: WPLBN0004020853
Format Type: PDF Article :
File Size: Pages 23
Reproduction Date: 2015

Title: Impacts of Mean Dynamic Topography on a Regional Ocean Assimilation System : Volume 12, Issue 3 (15/06/2015)  
Author: Yan, C.
Volume: Vol. 12, Issue 3
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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S. Tanajur, C. A., Zhu, J., & Yan, C. (2015). Impacts of Mean Dynamic Topography on a Regional Ocean Assimilation System : Volume 12, Issue 3 (15/06/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China. An ocean assimilation system was developed for the Pacific-Indian oceans with the aim of assimilating altimetry data, sea surface temperature, and in-situ measurements from ARGO, XBT, CTD, and TAO. The altimetry data assimilation requires the addition of the mean dynamic topography to the altimetric sea level anomaly to match the model sea surface height. The mean dynamic topography is usually computed from the model long-term mean sea surface height, and is also available from gravimeteric satellite data. In this study, different mean dynamic topographies are used to examine their impacts on the sea level anomaly assimilation. Results show that impacts of the mean dynamic topography cannot be neglected. The mean dynamic topography from the model long-term mean sea surface height without assimilating in-situ observations results in worsened subsurface temperature and salinity estimates. The gravimeter-based mean dynamic topography results in an even worse estimate. Even if all available observations including in-situ measurements, sea surface temperature measurements, and altimetry data are assimilated, the estimates are still not improved. This further indicates that the other types of observations do not compensate for the shortcoming due to the altimetry data assimilation. The mean dynamic topography computed from the model's long-term mean sea surface height after assimilating in-situ observations presents better results.

Summary
Impacts of mean dynamic topography on a regional ocean assimilation system

Excerpt
Evensen, G.: The ensemble Kalman filter: theoretical formulation and practical implementation, Ocean Dynam., 53, 343–367, 2003.; Bertino, L. and Lisæter, K. A.: The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans, J. Operat. Oceanogr., 2, 15–18, 2008.; Bleck, R.: An oceanic general circulation model framed in hybrid isopycnic-cartesian coordinates, Ocean Model., 4, 55–88, 2002.; Brasseur, P., Bahurel, P., Bertino, L., Birol, F., Brankart, J.-M., Ferry, N., Losa, S., Rémy, E., Schröter, J., Skachko, S., Testut, C.-E., Tranchant, B., van Leeuwen, P. J., and Verron, J.: Data Assimilation for marine monitoring and prediction: The Mercator operational assimilation systems and the MERSEA developments, Q. J. R. Met. Soc., 131, 3561–3582, 2005.; Carnes, M. R., Mitchell, J. L., and DeWitt, P. W.: Synthetic temperature profiles derived from geosat altimetry: comparison with air-dropped expendable bathythermograph profiles, J. Geophys. Res., 95, 17979–17992, 1990.; Carton, J. A., Giese, B. S., Cao, X., and Miller, L.: Impact of altimeter, thermistor, and expendable bathythermograph data on restrospective analyses of the tropical Pacific Ocean, J. Geophys. Res., 101, 14147–14159, 1996.; Carton, J. A., Chepurin, G., and Cao, X.: A simple ocean data assimilation analysis of the global upper ocean 1950–95. Part I: Methodology, J. Phys. Oceanogr., 30, 294–309, 2000.; Chassignet, E. P., Hurlburt, H. E., Smedstad, O. M., Halliwell, G. R., Hogan, P. J., Wallcraft, A. J., Baraille, R., and Bleck, R.: The HYCOM (Hybrid Coordinate Ocean Model) data assimilative system, J. Marine Syst., 65, 60–83, 2007.; Ducet, N., Le Traon, P.-Y., and Reverdin, G.: Global high resolution mapping of ocean circulation from TOPEX/Poseidon and ERS-1 and -2, J. Geophys. Res., 105, 19477–19498, 2000.; Fischer, M., Flugel, M., Ji, M., and Latif, M.: The impact of data assimilation on ENSO simulations and predictions, Mon. Weather Rev., 125, 810–829, 1997.; Fujii, Y. and Kamachi, M.: Three-dimensional analysis of temperature and salinity in the equatorial Pacific using a variational method with vertical coupled temperature-salinity empirical orthogonal function modes, J. Geophys. Res., 108, 3297, doi:10.1029/2002JC001745, 2003.; Guinehut, S., Coatanoan, C., Dhomps, A.-L., Le Traon, P.-Y., and Larnicol, G.: On the use of satellite altimeter data in Argo quality control, J. Atmos. Ocean. Tech., 26, 395–402, doi:10.1175/2008JTECHO648.1, 2009.; Hurlburt, H. E.: The potential for ocean prediction and the role of altimeter data, Mar. Geod., 8, 17–66, 1984.; Ingleby, B. and Huddleston, M.: Quality control of ocean temperature and salinity profiles – historical and real-time data, J. Marine Syst., 65, 158–175, doi:10.1016/j.jmarsys.2005.11.019, 2007.; Large, W. G., McWilliams, J. C., and Doney, S. C.: Oceanic vertical mixing: a review and a model with a nonlocal boundary layer parameterization, Rev. Geophys., 32, 363–403, 1994.; Le Traon, P.-Y., Nadal, F., and Ducet, N.: An improved mapping method of multisatellite altimeter data, J. Atmos. Ocean. Tech., 15, 522–534, 1998.; Martin, M. J., Hines, A., and Bell, M. J.: Data assimilation in the FOAM operational short-range ocean forecasting system: a description of the scheme and its impact, Q. J. Roy. Meteor. Soc., 133, 981–995, 2007.; Oke, P. R, Schiller A, Griffin, D. A., and Brassington, G. B.: Ensemble data assimilation for an eddy-resolving ocean model of the Australian region, Q. J. Roy. Meteor. Soc., 131, 3301–3311, 2005.; Oke, P. R., Brassington, G. B., Griffin, D. A., and Schiller, A.: The Bluelink Ocean Data Assimilation System (BODAS), Ocean Model., 20, 46–70, doi:10.1016/j.ocemod.2007.11.002, 2008.; Peters, H., Gregg, M. C., and

 

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