Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/2596
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dc.contributor.authorallGrezio, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italiaen
dc.contributor.authorallPinardi, N.; Università di Bologna, Corso di Scienze Ambientalien
dc.date.accessioned2007-10-10T13:15:40Zen
dc.date.available2007-10-10T13:15:40Zen
dc.date.issued2006en
dc.identifier.urihttp://hdl.handle.net/2122/2596en
dc.description.abstractTemperature and salinity data collected during the October 2002- October 2003 period have been assimilated into a version of the Princeton Ocean Model implemented over the entire Adriatic Sea. The scheme used is SOFA (System for Ocean Analysis and Forecast, DE MEY & BENKIRAN, 2002) and this is the first coastal application of this scheme. The CTD data were collected in 4 coastal areas (Emilia – Romagna Coastal strip, the Gulf of Trieste, the Rovinj and Pelješac-Vis-Drvenik coastal strips) while temperature profiles were acquired with XBT in the southern Adriatic Sea deep ocean areas. The analysis skill scores are examined in order to evaluate the assimilation performance. The results of the assimilation are first compared with independent analyses of satellite Sea Surface Temperature (SST) and it is found that assimilation of profiles improves the SST model estimate. Furthermore, the Root Mean Square (RMS) difference between model and temperature and salinity profiles before data insertion is analysed. The range of RMS temperature error is less than 1 0C for the entire area and decreases with time, indicating a positive impact of the assimilation. The RMS of salinity is less than 1 psu and it also shows a decreasing trend during the assimilation period.en
dc.language.isoEnglishen
dc.relation.ispartofActa Adriaticaen
dc.relation.ispartofseriessup / 47 (2006)en
dc.subjectdata assimilationen
dc.subjectAdriatic Seaen
dc.subjectoptimal interpolationen
dc.titleData assimilation of temperature and salinity profiles in the Adriatic Sea regional modelen
dc.typearticleen
dc.description.statusPublisheden
dc.type.QualityControlPeer-revieweden
dc.description.pagenumber149-168en
dc.subject.INGV03. Hydrosphere::03.01. General::03.01.04. Ocean data assimilation and reanalysisen
dc.subject.INGV03. Hydrosphere::03.01. General::03.01.05. Operational oceanographyen
dc.relation.referencesARTEGIANI, A., D. BREGANT, E. PASCHINI, N. PINARDI, F. RAICICH & A. RUSSO. 1997. The Adriatic Sea General Circulation. Part I: Air- Sea interactions and water mass structure, J. Phys. Oceanogr., 27: 1492-1514. ARTEGIANI, A., D. BREGANT, E. PASCHINI, N. PINARDI, F. RAICICH & A. RUSSO. 1997. The Adriatic Sea General Circulation. Part II: Baroclinic Circulation structures, J. Phys. Oceanogr., 27: 1515-1532. BLUMBERG, A. F. & G. L. MELLOR. 1987. A description of a three dimensional coastal ocean circulation model, In Three dimensional ocean models, Coastal Estuarine Sci., (Editors), N.S. Heaps, AGU Washington D.C., pp. 1-16 CARTON, J. A. & E. C HACKERT. 1989. Application of multivariate statistical objective analysis to the circulation of the tropical atlantic. Dyn. Atmos. Oceans, 13: 491-515 CASTELLARI, S., N. PINARDI & A. COLUCCELLI, 2006. The ADRICOSM Pilot Project: a coastal and river basin prediction system for the Adriatic Sea. Acta Adriat., 47 (Suppl.): ______________________ DALEY, R. 1991. Atmosferic data Analysis, Cambridge University Press, Cambridge U. K., p 471. DE MEY, P. & M. BENKIRAN. 2002. A multivariate Reduced-order Optimal Interpolation Method and its application to the Mediterranean Basin-scale Circulation, In Ocean Forecasting. N.Pinardi & J.Woods (Editors), pp. 281-305. DERBER, J. C. & A. ROSATI. 1989. A global Ocean data assimilation system, J. Phys. Oceanogr., 19: 1333-1347. DEMIROV, E., N. PINARDI, C. FRATIANNI, M. TONANI, L. GIACOMELLI & P. DE MEY. 2003. Assimilation scheme of the Mediterranean Forecasting System: operational implementation, Ann. Geophys., 21: 189-204. EVENSEN, G. 2003. The Ensemble Kalman Filter, theoretical formulation and practical implementation. Ocean Dynamics, 53: 343- 367. GAVART, M. & P. DE MEY. 1997. Isopycnal EOFs in the Azores Current Region: A statistical tool for Dynamical Analysis and Data Assimilation. J. Phys. Oceanogr., 27: 2146- 2157. GELB, A. 1974. Applied Optimal Estimation, MIT press Cambridge, Ma,1-374. IDE, K., P. COURTIER, M. GHIL & A. C. LORENC. 1997. Unified notation for data assimilation: operational, sequential and variational, J. Meteorol. Soc. Jpn., Special issue on “Data Assimilation in meteorology and oceanography: theory and practice, 75: 181- 189. MANZELLA, G. M. R., E. SCOCCIMARRO, N. PINARDI & M. TONANI. 2003. Improved near real time data management procedures for the Mediterranean ocean Forecasting System- Voluntary Observing Ship program”. Ann. Geophys., 21: 49-62. MURPHY, A. H. 1988. Skill scores based on the mean square error and their relations to the correlation coefficient. Mon. Weather Rev., 116: 2417-2424. ODDO, P., N. PINARDI & M. ZAVATARELLI. 2005. A numerical study of the interannual variabilityof the Adriatic Sea (2000-2002). Sci.Total Environ., 353: 39-56. ODDO, P., & N. PINARDI. (in press) Lateral Open Boundary Conditions for Nested Limited Area Models: a process selective approach, Submitted to J. Phys. Oceanogr. ODDO, P., N. PINARDI, M. ZAVATARELLI & A. COLUCCELLI. 2006. The Adriatic Basin forecasting system. Acta Adriat., 47 (Suppl.): ___________________________________ PINARDI, N., F. AUCLAIR, C. CESARINI, E. DEMIROV, S. FONDA UMANI, M. GIANI, G. MONTANARI, P. ODDO, M. TONANI & M. ZAVATARELLI. 2002. Toward Marine Environmental Predictions in the Mediterranean Sea Coastal Areas: A monitorino Approach, In Ocean Forecasting. N.Pinardi & J.Woods (Editors), pp. 281- 305. PINARDI, N., I. ALLEN, E. DEMIROV, P. DE MEY, A. LASCARATOS, P-Y LE TRAON, C. MAILLARD, G. MANZELLA & C. TZIAVOS. 2003. The Mediterranean Ocean Forecasting System first phase of implementation (1998-2001). Ann. Geophys., 21: 1-20. SCIARRA, R., E. BÖHM, E. D’ACUNZO & R. SANTOLERI. 2005. The large scale observing system component of ADRICOSM: the satellite system. Acta Adriat.,___________ SPARNOCCHIA, S., N. PINARDI & E. DEMIROV. 2003. Multivariate Empirical Orthogonal function analysis of the upper thermocline structure of the Mediterranean Sea from Observations and model simulations. Ann. Geophys., 21: 167-187. THE MEDAR GROUP. 2002. MEDAR/MEDATLAS 1998-2001 Mediterranean and Black Sea database of temperature, salinity and biogeochemical parameters and climatological atlas (4 CDRoms). European Commission Marine Sciences and Technology Programme, and internet server www.ifremer.fr/sismer/ program/medarIFREMER/TMSI/IDM/ SISMER Ed., Centre de Brest. VILIBIĆ, I. 2003. An analysis of dense water production on the North Adriatic shelf. Est. Coast. Shelf Sci., 56: 697-707. ZAVATARELLI, M. & N. PINARDI. 2003. The Adriatic Sea modelling System. Ann. Geophys., 21: 345-364.en
dc.description.fulltextopenen
dc.contributor.authorGrezio, A.en
dc.contributor.authorPinardi, N.en
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italiaen
dc.contributor.departmentUniversità di Bologna, Corso di Scienze Ambientalien
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia-
crisitem.author.orcid0000-0001-6848-7589-
crisitem.author.orcid0000-0003-4765-0775-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.classification.parent03. Hydrosphere-
crisitem.classification.parent03. Hydrosphere-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
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