Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/5854| DC Field | Value | Language |
|---|---|---|
| dc.contributor.authorall | Dombrowsky, E.; Mercator-Ocean, Touluse, France | en |
| dc.contributor.authorall | Bertino, L.; Nansen Environment and Remote Sensing Center, Bergen, Norway | en |
| dc.contributor.authorall | Brassington, G.; Centre for Australian Weather and Climate Research, Bureau of Meteorology, Melbourne, Australia | en |
| dc.contributor.authorall | Chassignet, E.; lorida State University, COAPS, Tallahassee, USA | en |
| dc.contributor.authorall | Davidson, F.; Fisheries and Oceans, St Johns, Canada | en |
| dc.contributor.authorall | Hurlburt, H.; Naval Rerearch Laboratory, Stennis Space Center, MS, USA | en |
| dc.contributor.authorall | Kamachi, M.; Department of Physical Oceanography, Meteorological Research Institute, Tsukuba, Japan | en |
| dc.contributor.authorall | Lee, T.; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA | en |
| dc.contributor.authorall | Martin, M.; Met Office, Exeter, United Kingdom | en |
| dc.contributor.authorall | Mey, S.; National Marine Environment Forecast Center, Beijing, China | en |
| dc.contributor.authorall | Tonani, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia | en |
| dc.date.accessioned | 2010-01-25T10:42:24Z | en |
| dc.date.available | 2010-01-25T10:42:24Z | en |
| dc.date.issued | 2009-09 | en |
| dc.identifier.uri | http://hdl.handle.net/2122/5854 | en |
| dc.description.abstract | During the last 15 years, operational oceanography systems have been developed in several countries around the world. These developments have been fostered primarily by the Global Ocean Data Assimilation Experiment (GODAE), which coordinated these activities, encouraged partnerships, and facilitated constructive competition. This multinational coordination has been very beneficial for the development of operational oceanography. Today, several systems provide routine, real-time ocean analysis, forecast, and reanalysis products. These systems are based on (1) state-of-the-art Ocean General Circulation Model (OGCM) configurations, either global or regional (basin-scale), with resolutions that range from coarse to eddy-resolving, and (2) data assimilation techniques ranging from analysis correction to advanced three- or four-dimensional variational schemes. These systems assimilate altimeter sea level anomalies, sea surface temperature data, and in situ profiles of temperature and salinity, including Argo data. Some systems have implemented downscaling capacities, which consist of embedding higher-resolution local systems in global and basin-scale models (through open boundary exchange of data), especially in coastal regions, where small scale-phenomena are important, and also increasing the spatial resolution for these regional/coastal systems to be able to resolve smaller scales (so-called downscaling). Others have implemented coupling with the atmosphere and/or sea ice. This paper provides a short review of these operational GODAE systems. | en |
| dc.language.iso | English | en |
| dc.publisher.name | The oceanograohy Society, USA | en |
| dc.relation.ispartof | Oceanography | en |
| dc.relation.ispartofseries | 3/22 (2009) | en |
| dc.subject | Operational Oceanography, Ocean Prediction, Ocean Data Assimilation | en |
| dc.subject | ocean forecasting systems | en |
| dc.title | GODAE systems in operation | en |
| dc.type | article | en |
| dc.description.status | Published | en |
| dc.description.pagenumber | 76-91 | en |
| dc.subject.INGV | 03. Hydrosphere::03.01. General::03.01.05. Operational oceanography | en |
| dc.relation.references | Hurlburt, H.E., D.N. Fox, and E.J. Metzger. 1990. Cummings, J.A. 2005. Operational multivariate ocean Statistical inference of weakly correlated subther- data assimilation. Quarterly Journal of the Royal mocline fields from satellite altimeter data. Journal Meteorological Society 131:3,583–3,604. of Geophysical Research 95(C7):11,375–11,409. Dai, A., and K.E. Trenberth. 2003. New estimates Hurlburt, H.E., E.P. Chassignet, J.A. Cummings, A.B. of continental discharge and oceanic freshwater Kara, E.J. Metzger, J.F. Shriver, O.M. Smedstad, transport. Paper presented at the Symposium on A.J. Wallcraft, C.N. Barron. 2008. Eddy-resolving Observing and Understanding the Variability of global ocean prediction. Pp. 353–381 in Ocean Water in Weather and Climate. February 9–13, Modeling in an Eddying Regime. Geophysical 2003, Long Beach, CA. Monograph 177, M. Hecht and H. Hasumi, eds, Dobricic, S., and N. Pinardi. 2008. An oceanographic American Geophysical Union, Washington, DC. three-dimensional variational data assimilation Imawaki, S., H. Uchida, H. Ichikawa, M. Fukasawa, scheme. Ocean Modelling 22 (3):89–105. S. Umatani, and the ASUKA group. 2001. Satellite Evensen, G. 2006. Data Assimilation: The Ensemble altimeter monitoring the Kuroshio transport south Kalman Filter. Springer, 280 pp. of Japan. Geophysical Research Letters 28:17–20. Fichefet, T., and M.A. Morales Maqueda. 1997. Keghouche, I., L. Bertino, and K.A. Lisæter. 2009. Sensitivity of a global sea ice model to the treat- Parameterization of an iceberg drift model in the ment of ice thermodynamics and dynamics. Barrents Sea. Journal of Atmospheric and Oceanic Journal of Geophysical Research 102:12,609–12,646. Technology, doi:10.1175/2009JTECHO678.1. Fox, D.N., W.J. Teague, C.N. Barron, M.R. Carnes, rEFErENcE S Lee, T., and I. Fukumori. 2003. Interannual to decadal and C.M. Lee. 2002. The Modular Ocean Data Barron, C.N., A.B. Kara, P.J. Martin, R.C. Rhodes, and variation of tropical-subtropical exchange in the Assimilation System (MODAS). Journal of L.F. Smedstad. 2006. Formulation, implementation Pacific Ocean: Boundary versus interior pycnocline Atmospheric and Oceanic Technology 19:240–252. and examination of vertical coordinate choices in transports. International Journal of Climatology Fujii, Y., and M. Kamachi. 2003a. Three-dimensional the global Navy Coastal Ocean Model (NCOM). 16:4,022–4,042. analysis of temperature and salinity in the equa- Ocean Modelling 11:347–375, doi:10.1016/j. Le Provost, C. 2002. GODAE Internal Metrics for Model torial Pacific using a variational method with ocemod.2005.01.004. Performance Evaluation and Intercomparison. vertical coupled temperature-salinity EOF modes. Barron, C.N., and A.B. Kara. 2006. Satellite-based daily CNRS/LEGOS, ed, Toulouse, France, 12 pp. Journal of Geophysical. Research 108(C9), 3297, SSTs over the global ocean. Geophysical Research Levitus, S. 1982. Climatological Atlas of the World doi:10.1029/2002JC001745. Letters 33, L15603, doi:10.1029/2006GL026356. Ocean. Technical report, NOAA Prof. Pap. No. 13, Fujii, Y, and M. Kamachi. 2003b. A reconstruction Barron, C.N., L.F. Smedstad, J.M. Dastugue, and O.M. US Government Printing Office, Washington, DC, of observed profiles in the sea east of Japan using Smedstad. 2007. Evaluation of ocean models using 173 pp. vertical coupled temperature-salinity EOF modes. observed and simulated drifter trajectories: Impact Madec, G. 2008. NEMO Ocean Engine. Report, Institut Journal of Oceanography 59:173–186. of sea surface height on synthetic profiles for data Pierre-Simon-Laplace (IPSL), France, No. 27 ISSN Fujii, Y. 2005. Preconditioned optimizing utility for assimilation. Journal of Geophysical Research 112, No 1288-1619, 197 pp. large-dimensional analyses (POpULar). Journal of C07019, doi:10.1029/2006JC003982. Madec, G., and M. Imbard. 1996. A global ocean mesh Oceanography 61:167–181. Bell, M.J., R.M. Forbes, and A. Hines. 2000. to overcome the North Pole singularity. Climate Fukumori, I. 2002. A partitioned Kalman filter Assessment of the FOAM global data assimilation Dynamics 12:381–388. and smoother. Monthly Weather Review system for real-time operational ocean forecasting. Martin, M.J., A. Hines, and M.J. Bell. 2007. Data 130:1,370–1,383. Journal of Marine Systems 25:1–22. assimilation in the FOAM operational short-range Giraud, S., S. Baudel, E. Dombrowsky, and P. Bahurel. Bertino, L., and K.A. Lisæter. 2008. The TOPAZ ocean forecasting system: A description of the 1997. The SOPRANE project: Real-time moni- monitoring and prediction system for the scheme and its impact. Quarterly Journal of the toring of the North-East Atlantic—ocean circula- Atlantic and Arctic oceans. Journal of Operational Royal Meteorological Society 133:981–995. tion nowcast/forecast for oceanographic scientific Oceanography 1:15–19. Metzger, E.J., O.M. Smedstad, P. Thoppil, H.E. campaigns. In Proceedings of the International Bleck, R. 2002. An oceanic general circulation model Hurlburt, A.J. Wallcraft, D.S. Franklin, J.F. Shriver, Symposium: Monitoring the Oceans in the 2000s: An framed in hybrid isopycnic-cartesian coordinates. and L.F. Smedstad. 2008. Validation Test Report for Integrated Approach. October 15–17, 1997. Biarritz, Ocean Modelling 4:55–88. the Global Ocean Predictions System V3.0 - 1/12° France, CNES, Toulouse, France. Brassington, G.B., T. Pugh, C. Spillman, E. Schulz, H. HYCOM/NCODA: Phase I. NRL Memorandum Griffies, S.M., M.J. Harrison, R.C. Pacanowski, and A. Beggs, A. Schiller, and P.R. Oke. 2007. BLUElink> Report, NRL/MR/7320--08-9148, 88 pp. Rosati. 2004. A technical guide to MOM4 GFDL Development of operational oceanography and Oke, P.R., G.B. Brassington, D.A. Griffin, and A. Ocean Group. Technical Report No. 5, NOAA/ servicing in Australia. Journal of Research and Schiller. 2008. The Bluelink ocean data assimilation Geophysical Fluid Dynamics Laboratory, 339 pp. Practice in Information Technology 39:151–164 system (BODAS). Ocean Modelling 21(1–2):46–70. Halkides, D., and T. Lee. 2009. Mechanisms control- Chassignet, E.P., H.E. Hurlburt, E.J. Metzger, O.M. Pham, D.T., J. Verron, and M.C. Roubaud. 1998. A ling seasonal-to-interannual mixed-layer Smedstad, J. Cummings, G.R. Halliwell, R. Bleck, singular evolutive extended Kalman filter for data temperature variability in the southeastern tropical R. Barialle, A.J. Wallcraft, C. Lozano, and others. assimilation in oceanography. Journal of Marine Indian Ocean. Journal of Geophysical Research 114, 2009. US GODAE: Global Ocean Prediction with Systems 16(3–4):323–340. C02012, doi:10.1029/2008JC004949. the HYbrid Coordinate Ocean Model (HYCOM). Pinardi, N., I. Allen, E. Demirov, P. De Mey , Hellerman, S., and M. Rosenstein. 1983. Normal Oceanography 22(2):64–75. G. Korres, A. Lascaratos, P.-Y. Le Traon, C. monthly wind stress over the world ocean with Counillon, F., and L. Bertino. 2009. High-resolution Maillard, G. Manzella, and C. Tziavos. 2003. The error estimates. Journal of Physical Oceanography ensemble forecasting for the Gulf of Mexico eddies Mediterranean ocean forecasting system: First 13:1,093–1,104. and fronts. Ocean Dynamics 59(1):83–95. phase of implementation (1998–2001). Annales Geophysicae 21:3–20 c. Van Woert, M.L., C.-Z. Zou, W.N. Meier, P.D. Hovey, Purser, R.J., W.-S. Wu, D.F. Parrish, and N.M. Roberts. R.H. Preller, and P.G. Posey. 2004. Forecast verifi- 2003a. Numerical aspects of the application of cation of the Polar Ice Prediction System (PIPS) sea recursive filters to variational statistical analysis. ice concentration fields. Journal of Atmospheric and Part I: Spatially homogeneous and isotropic Oceanic Technology 21:944–957. Gaussian covariances. Monthly Weather Review Wallcraft, A.J., A.B. Kara, H.E. Hurlburt, and P.A. 131:1,524–1,535. Rochford. 2003. The NRL Layered Ocean Purser, R.J., W.-S. Wu, D.F. Parrish, and N.M. Roberts. Model (NLOM) with an embedded mixed 2003b. Numerical aspects of the application of layer sub-model: Formulation and tuning. recursive filters to variational statistical analysis. Journal of Atmospheric and Oceanic Technology Part II: Spatially inhomogeneous and anisotropic 20:1,601–1,615. general covariances. Monthly Weather Review Wunsch, C. and P. Heimbach. 2007. Practical global 131:1,536–1,548. oceanic state estimation. Physica D-Nonlinear Rhodes, R.C., H.E. Hurlburt, A.J. Wallcraft, C.N. Phenomena 230:197–208. Barron, P.J. Martin, O.M. Smedstad, S.L. Cross, Wunsch, C., P. Heimbach, R.M. Ponte, I. Fukumori, E.J. Metzger, J.F. Shriver, A.B. Kara, and D.S. Ko. and the ECCO-GODAE Consortium Members. 2002. Navy real-time global modeling systems. 2009. The global general circulation of the Oceanography 15(1):29–43. ocean estimated by the ECCO-Consortium. Schiller, A., P.R. Oke, G.B. Brassington, M. Entel, R. Oceanography 22(2):88–103. Fiedler, D.A. Griffin, and J. Mansbridge. 2008. Yan, C.X., J. Zhu, R.F. Li, and G.Q.Zhou. 2004. Roles Eddy-resolving ocean circulation in the Asian- of vertical correlation of background error and Australian region inferred from an ocean reanal- T-S relations in estimation temperature and ysis effort. Progress in Oceanography 76:334–365. salinity profiles from sea surface dynamic height. Seaman, R., W. Bourke, P. Steinle, T. Hart, G. Embery, Journal of Geophysical Research 109, C08010, M. Naughton, and L. Rikus. 1995. Evolution of the doi:10.1029/2003JC002224,2004. Bureau of Meteorology’s global assimilation and Zhang, R.-H., and M. Endoh. 1992. A free surface prediction system. Part 1: Analyses and initializa- general circulation model for the tropical tion. Australian Meteorological Magazine 44:1–18. Pacific Ocean. Journal of Geophysical Research Shriver, J.F., H.E. Hurlburt, O.M. Smedstad, A.J. 97(C7):11,237–11,255. Wallcraft, and R.C. Rhodes. 2007. 1/32°real-time Zhu, J., and C.X. Yan. 2006. Nonlinear balance global ocean prediction and value-added over constraints in 3DVAR data assimilation. Science in 1/16°resolution. Journal of Marine Systems 65:3–26. China Series D 49(3):331–336. Available online at: Smedstad, O.M., H.E. Hurlburt, E.J. Metzger, R.C. http://www.springerlink.com/content/g42n172648 Rhodes, J.F. Shriver, A.J. Wallcraft, and A.B. Kara. 66/?p=f225c9eb3d5c4f4cb21e172ae05123bc&pi=43 2003. An operational eddy-resolving 1/16° global ocean nowcast/forecast system. Journal of Marine Systems 40–41:341–361. Stammer, D., C. Wunsch, R. Giering, C. Eckert, P. Heimbach, J. Marotzke, A. Adcroft, C.N. Hill, and J. Marshall. 2003. Volume, heat, and freshwater transports of the global ocean circu- lation 1993–2000, estimated from a general circulation model constrained by World Ocean Circulation Experiment (WOCE) data. Journal of Geophysical Research 108 (C1), 3007, doi:10.1029/2001JC001115. Tonani, M., N. Pinardi, S. Dobricic, I. Pujol, and C. Fratianni. 2008. A high resolution free surface model on the Mediterranean Sea. Ocean Science 4:1–14. Tranchant, B., C.E. Testut, L. Renault, N. Ferry, E. Obligis, C. Boone, and G. Larnicol. 2008. Data assimilation of simulated SSS SMOS products in an ocean forecasting system. Journal of Operational Oceanography 2008(2):19–27(9). Troccoli, A., and P. Kallberg. 2004. Precipitation Correction in the ERA-40 Reanalysis. ERA-40 Project Report Series, ECMWF, Reading, UK. Usui, N., S. Ishizaki, Y. Fujii, H. Tsujino, T. Yasuda, and M. Kamachi. 2006. Meteorological Research Institute Multivariate Ocean Variational Estimation (MOVE) System: Some early results. Advances in Space Research 37:806–822. | en |
| dc.description.obiettivoSpecifico | 4.6. Oceanografia operativa per la valutazione dei rischi in aree marine | en |
| dc.description.journalType | N/A or not JCR | en |
| dc.description.fulltext | open | en |
| dc.contributor.author | Dombrowsky, E. | en |
| dc.contributor.author | Bertino, L. | en |
| dc.contributor.author | Brassington, G. | en |
| dc.contributor.author | Chassignet, E. | en |
| dc.contributor.author | Davidson, F. | en |
| dc.contributor.author | Hurlburt, H. | en |
| dc.contributor.author | Kamachi, M. | en |
| dc.contributor.author | Lee, T. | en |
| dc.contributor.author | Martin, M. | en |
| dc.contributor.author | Mey, S. | en |
| dc.contributor.author | Tonani, M. | en |
| dc.contributor.department | Mercator-Ocean, Touluse, France | en |
| dc.contributor.department | Nansen Environment and Remote Sensing Center, Bergen, Norway | en |
| dc.contributor.department | Centre for Australian Weather and Climate Research, Bureau of Meteorology, Melbourne, Australia | en |
| dc.contributor.department | lorida State University, COAPS, Tallahassee, USA | en |
| dc.contributor.department | Fisheries and Oceans, St Johns, Canada | en |
| dc.contributor.department | Naval Rerearch Laboratory, Stennis Space Center, MS, USA | en |
| dc.contributor.department | Department of Physical Oceanography, Meteorological Research Institute, Tsukuba, Japan | en |
| dc.contributor.department | Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA | en |
| dc.contributor.department | Met Office, Exeter, United Kingdom | en |
| dc.contributor.department | National Marine Environment Forecast Center, Beijing, China | en |
| dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia | en |
| item.openairetype | article | - |
| item.cerifentitytype | Publications | - |
| item.languageiso639-1 | en | - |
| item.grantfulltext | open | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.fulltext | With Fulltext | - |
| crisitem.author.dept | Mercator-Ocean, Touluse, France | - |
| crisitem.author.dept | NERCS, Norway | - |
| crisitem.author.dept | Centre for Australian Weather and Climate Research, BOM, Melbourne, Australia | - |
| crisitem.author.dept | Florida State University, COAPS, Tallahassee, USA | - |
| crisitem.author.dept | Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, CANADA | - |
| crisitem.author.dept | Naval Research Laboratory, Stennis Space Centre, Slidell, USA | - |
| crisitem.author.dept | Oceanographic Research Department, Meteorological Research Institute, 1-1 Nagamine, Tsukuba 305-0052, Japan. | - |
| crisitem.author.dept | NASA Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA 91109 | - |
| crisitem.author.dept | National Marine Environment Forecast Center, Beijing, China | - |
| crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia | - |
| crisitem.author.orcid | 0000-0001-5452-3251 | - |
| crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
| crisitem.classification.parent | 03. Hydrosphere | - |
| crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
| Appears in Collections: | Article published / in press | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| PaperGODAE.pdf | 109.57 kB | Adobe PDF | View/Open |
Page view(s) 50
160
checked on Apr 17, 2024
Download(s) 50
244
checked on Apr 17, 2024
