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                        <gco:CharacterString>coastDat-2 Hydrodynamic Model TRIM-NP Principal Component Analysis Residual Currents</gco:CharacterString>
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                                <gco:Date>2016-03-15</gco:Date>
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                    Simulated 2D residual velocity fields in the inner German Bight were
                    subjected to Principal Component Analysis (PCA). Residual currents
                    were obtained from coastDat2 barotropic 2D simulations with the
                    hydrodynamic model TRIM-NP V2.1.22 in barotropic 2D mode on a Cartesian grid (1.6km spatial resolution)
                    stored on an hourly basis for the years 1948 - 2012
                    (doi:10.1594/WDCC/coastDat-2_TRIM-NP-2d) and later extended until
                    August 2015.
                    The present analysis refers to the period Jan 1958 - Aug 2015. The spatial
                    domain considered is the region to the east of 6 degrees east and to
                    the south of 55.6 degrees north. All grid nodes with a bathymetry of
                    less than 10m were excluded.

                    Residual velocities were calculated in two different ways:
                      1.) as 25h means,
                      2.) as monthly means. 

                    Both types of residual current data are available from

                     * RESIDUAL_CURRENTS_195801_201508

                    The directory contains sub-directories for years and months. Daily
                    residual currents for the 13th of September 1974, for instance,
                    are stored in

                     * RESIDUAL_CURRENTS_195801_201508/YEAR_1974/MONTH_09/TRIM2D_1974_09_13_means.nc

                    while monthly mean residual currents for September 1974 are stored in:

                     * RESIDUAL_CURRENTS_195801_201508/YEAR_1974/TRIM2D_1974_09_means.nc

                    All current fields provided were interpolated from the original
                    Cartesian model grid to a more convenient regular geographical grid
                    (116x76 nodes).

                    Mean residual currents are stored in:

                     * mean_residual_currents.nc

                    This data set contains residual velocities both on original Cartesian
                    grid nodes and interpolated to the geographical grid. An example plot
                    is provided:

                     * mean_residual_currents.png

                    For PCA, two residual velocity components from each of 12133 Cartesian
                    grid nodes were combined into one data vector (length 2x12133),
                    referring to 21061 daily or 692 monthly time levels. Results of two
                    independent PCAs for either daily or monthly mean fields are stored
                    in:

                     * PCA_daily_residual_currents.nc
                     * PCA_monthly_residual_currents.nc

                    Files contain three leading Principal Components (PCs) and
                    corresponding Emipirical Orthogonal Functions (EOFs). Again EOFs
                    were also interpolated to a regular geographical grid.

                    PC time series are also stored in plain ASCII format:

                     * PCs_daily.txt 
                     * PCs_monthly.txt

                    For monthly fields the number N of variables (N=2x12133) is much
                    larger than the number T of time levels (T=692). Therefore, to reduce
                    computational demands, the roles of time and space were formally
                    interchanged. Having conducted the PCA the EOFs were then transformed
                    back to the original spatial coordinates (cf. Section 12.2.6 in von
                    Storch and Zwiers (1999), Statistical Analysis in Climate Research,
                    Cambridge University Press).

                    A much larger number of time levels made even this approach
                    prohibitive for the full set of daily data. Therefore, PCAs were
                    performed for six sub-periods (1958-1965, 1966-1975, 1976-1985,
                    1986-1995, 1996-2005, 2006-2015(Aug)) independently. EOFs obtained from
                    these six sub-periods were then averaged to obtain EOFs representative
                    for the whole period. Corresponding PCs were calculated by
                    projecting daily fields onto these average EOFs.

                    IMPORTANT: In contrast with PCA of monthly data, the PCA of daily
                    data INVOLVES SOME APPROXIMATIONS!

                    EOFs on the original nodes were normalized to have unit lengths. The
                    following figures,

                     * daily_EOF1.png
                     * daily_EOF2.png
                     * daily_EOF3.png

                    show the first three EOFs obtained from daily data, assuming that
                    corresponding PCs have the value of one standard deviation. The
                    following two plots,

                     * monthly_EOF1.png
                     * monthly_EOF2.png

                    show the leading EOFs for monthly mean data. EOF3 is omitted as it
                    represents just a very small percentage of overall variance (1.7%).
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                        <gco:CharacterString>n/a</gco:CharacterString>
                    </gmd:nameOfMeasure>
                    <gmd:measureDescription>
                        <gco:CharacterString>None</gco:CharacterString>
                    </gmd:measureDescription>
                    <gmd:result gco:nilReason="missing" />
                </gmd:DQ_NonQuantitativeAttributeAccuracy>
            </gmd:report>
            <gmd:report>
                <gmd:DQ_ConceptualConsistency>
                    <gmd:nameOfMeasure>
                        <gco:CharacterString>n/a</gco:CharacterString>
                    </gmd:nameOfMeasure>
                    <gmd:measureDescription>
                        <gco:CharacterString>None</gco:CharacterString>
                    </gmd:measureDescription>
                    <gmd:result gco:nilReason="missing" />
                </gmd:DQ_ConceptualConsistency>
            </gmd:report>
        </gmd:DQ_DataQuality>
    </gmd:dataQualityInfo>

</gmd:MD_Metadata>
	

    </metadata>

  </record>

</GetRecord>



</OAI-PMH>









 



