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    <title>DSpace Collection: 03.01.04. Ocean data assimilation and reanalysis</title>
    <link>http://hdl.handle.net/2122/156</link>
    <description />
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    <item>
      <title>Using Temperature–Salinity Relations in a Global Ocean Implementation of a Multivariate Data Assimilation Scheme</title>
      <link>http://hdl.handle.net/2122/3815</link>
      <description>Title: Using Temperature–Salinity Relations in a Global Ocean Implementation of a Multivariate Data Assimilation Scheme
&lt;br/&gt;
&lt;br/&gt;Authors: Bellucci, A.; Centro Euro-Mediterraneo per i Cambiamenti Climatici, Bologna, Italy; Masina, S.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia; Di Pietro, P.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia; Navarra, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia
&lt;br/&gt;
&lt;br/&gt;Abstract: In this paper results from the application of an ocean data assimilation (ODA) system, combining a&#xD;
multivariate reduced-order optimal interpolator (OI) scheme with a global ocean general circulation model&#xD;
(OGCM), are described. The present ODA system, designed to assimilate in situ temperature and salinity&#xD;
observations, has been used to produce ocean reanalyses for the 1962–2001 period. The impact of assimilating&#xD;
observed hydrographic data on the ocean mean state and temporal variability is evaluated. A special&#xD;
focus of this work is on the ODA system skill in reproducing a realistic ocean salinity state. Results from&#xD;
a hierarchy of different salinity reanalyses, using varying combinations of assimilated data and background&#xD;
error covariance structures, are described. The impact of the space and time resolution of the background&#xD;
error covariance parameterization on salinity is addressed.</description>
      <pubDate>Mon, 29 Oct 2007 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>Multi-model multi-method multi-decadal ocean analyses from the ENACT project</title>
      <link>http://hdl.handle.net/2122/2675</link>
      <description>Title: Multi-model multi-method multi-decadal ocean analyses from the ENACT project
&lt;br/&gt;
&lt;br/&gt;Authors: Davey, M.; Met Office,; Huddleston, M.; Met Office,; Ingleby, B.; Met Office,; Haines, K.; ESSC, reading, UK; Le Traon, P. Y.; CLS, France; Weaver, A.; CERFACS, France; Vialard, J.; LODYC, France; Anderson, D.; ECMWF; Troccoli, A.; ECMWF; Vidard, A.; ECMWF; Burgers, G.; KNMI. Nedelands; Leeuwenburgh, O.; KNMI. Nedelands; Bellucci, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia; Masina, S.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia; Bertino, L.; NERCS, Norway; Korn, P.; MPG-IMET, Germany
&lt;br/&gt;
&lt;br/&gt;Abstract: in the file</description>
      <pubDate>Sat, 29 Oct 2005 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>Data assimilation of temperature and salinity profiles in the Adriatic Sea regional model</title>
      <link>http://hdl.handle.net/2122/2596</link>
      <description>Title: Data assimilation of temperature and salinity profiles in the Adriatic Sea regional model
&lt;br/&gt;
&lt;br/&gt;Authors: Grezio, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia; Pinardi, N.; Università di Bologna, Corso di Scienze Ambientali
&lt;br/&gt;
&lt;br/&gt;Abstract: Temperature and salinity data collected during the October 2002- October 2003 period have&#xD;
been assimilated into a version of the Princeton Ocean Model implemented over the entire Adriatic&#xD;
Sea. The scheme used is SOFA (System for Ocean Analysis and Forecast, DE MEY &amp; BENKIRAN, 2002)&#xD;
and this is the first coastal application of this scheme. The CTD data were collected in 4 coastal&#xD;
areas (Emilia – Romagna Coastal strip, the Gulf of Trieste, the Rovinj and Pelješac-Vis-Drvenik&#xD;
coastal strips) while temperature profiles were acquired with XBT in the southern Adriatic Sea deep&#xD;
ocean areas. The analysis skill scores are examined in order to evaluate the assimilation performance.&#xD;
The results of the assimilation are first compared with independent analyses of satellite Sea&#xD;
Surface Temperature (SST) and it is found that assimilation of profiles improves the SST model estimate.&#xD;
Furthermore, the Root Mean Square (RMS) difference between model and temperature and&#xD;
salinity profiles before data insertion is analysed. The range of RMS temperature error is less than&#xD;
1 0C for the entire area and decreases with time, indicating a positive impact of the assimilation.&#xD;
The RMS of salinity is less than 1 psu and it also shows a decreasing trend during the assimilation&#xD;
period.</description>
      <pubDate>Sat, 29 Oct 2005 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>Spatial and temporal structure of Tropical Pacific interannual variability in 20th century coupled simulations</title>
      <link>http://hdl.handle.net/2122/2587</link>
      <description>Title: Spatial and temporal structure of Tropical Pacific interannual variability in 20th century coupled simulations
&lt;br/&gt;
&lt;br/&gt;Authors: Capotondi, A.; NOAA/Earth System Laboratory, CIRES/Climate Diagnostics Center,; Wittenberg, A.; Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; Masina, S.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia
&lt;br/&gt;
&lt;br/&gt;Abstract: Tropical Pacific interannual variability is examined in nine state-of-the-art coupled climate models, and compared with&#xD;
observations and ocean analyses data sets, the primary focus being on the spatial structure and spectral characteristics of&#xD;
El Nin˜o-Southern Oscillation (ENSO). The spatial patterns of interannual sea surface temperature (SST) anomalies from&#xD;
the coupled models are characterized by maximum variations displaced from the coast of South America, and generally&#xD;
extending too far west with respect to observations. Thermocline variability is characterized by dominant modes that&#xD;
are qualitatively similar in all the models, and consistent with the ‘‘recharge oscillator’’ paradigm for ENSO. The meridional&#xD;
scale of the thermocline depth anomalies is generally narrower than observed, a result that can be related to the&#xD;
pattern of zonal wind stress perturbations in the central-western equatorial Pacific. The wind stress response to eastern&#xD;
equatorial Pacific SST anomalies in the models is narrower and displaced further west than observed. The meridional scale&#xD;
of the wind stress can affect the amount of warm water involved in the recharge/discharge of the equatorial thermocline,&#xD;
while the longitudinal location of the wind stress anomalies can influence the advection of the mean zonal temperature&#xD;
gradient by the anomalous zonal currents, a process that may favor the growth and longer duration of ENSO events when&#xD;
the wind stress perturbations are displaced eastwards. Thus, both discrepancies of the wind stress anomaly patterns in the&#xD;
coupled models with respect to observations (narrow meridional extent, and westward displacement along the equator)&#xD;
may be responsible for the ENSO timescale being shorter in the models than in observations. The examination of the leading&#xD;
advective processes in the SST tendency equation indicates that vertical advection of temperature anomalies tends to&#xD;
favor ENSO growth in all the CGCMs, but at a smaller rate than in observations. In some models it can also promote a&#xD;
phase transition. Longer periods tend to be associated with thermocline and advective feedbacks that are in phase with the&#xD;
SST anomalies, while advective tendencies that lead the SST anomalies by a quarter cycle favor ENSO transitions, thus&#xD;
leading to a shorter period.</description>
      <pubDate>Sat, 29 Oct 2005 22:58:59 GMT</pubDate>
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