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            <gco:CharacterString>Copernicus Chlorophyll for the UK shelf 1998 to 2014</gco:CharacterString>
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                <gco:Date>2025-04-29</gco:Date>
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        <gco:CharacterString>This is a chlorophyll product developed from CMEMS product 
OCEANCOLOUR_ATL_CHL_L3_REP_OBSERVATIONS_009_067: 
DATASET-OC-ATL-CHL-MULTI-CCI-L3-CHL_1KM_DAILY-REP-V02. There are two gridded 
products, yearly growing season (March-October) mean chlorophyll 
concentrations, and yearly growing season 90th percentile chlorophyll 
concentrations. The data covers the period 1998 - 2014 and is at 1km 
resolution.

Means and 90th percentiles are also provided for a set of regions used for 
eutrophication assessments: MSFD regions, regional seas, WFD coastal areas, 
and Ecohydrodynamic regions.

Files:

*grseason_chl_mean_98_14_v2.nc and grseason_chl_90pc_98_14_v3.nc* contain 
gridded growing season means and 90th percentiles for the years 1998 to 
2014, at approximately 1km resolution.

*grseason_chl_mean_98_14_v2_5km.nc and grseason_chl_90pc_98_14_v3_5km.nc* 
contain gridded growing season means and 90th percentiles for the years 1998 
to 2014, at approximately 5km resolution.

*chl_MSFD_grseasonstats_1998_2014.csv *contains growing season chlorophyll 
means and 90th percentiles for each of the MSFD regions: Greater North Sea 
and Celtic Seas for the years 1990 - 2014.

*chl_RegionalSeas_grseasonstats_1998_2014.csv *contains growing season 
chlorophyll means and 90th percentiles for each of the regional seas (1-8, 
also known as charting progress 2 regions) for the years 1990 - 2014.

*chl_WFD_coastal_grseasonstats_1990_2014_v1b.csv* contains growing season 
chlorophyll means and 90th percentiles for each of the WFD coastal 
assessment regions, for the years 1990 - 2014.

*chl_Ecohydro_grseasonstats_1998_2014.csv *contains growing season 
chlorophyll means and 90th percentiles for Ecohydrodynamic regions (cropped 
to the MSFD region extent).

Corresponding shapefiles for all of these regions are also available (
*MSFD_regions.zip*, *Regional_seas.zip*, *WFD_coastal.zip*, 
*Ecohydrodynamic_regions_cropped.zip*)</gco:CharacterString>
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Crown copyright, Cefas 2024'


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            <gmx:Anchor xlink:type="simple" xlink:href="http://vocab.nerc.ac.uk/collection/M01/current/DEL">Delimited</gmx:Anchor>
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        </gmd:MD_Format>
        <gmd:MD_Format>
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        <gmd:MD_DigitalTransferOptions>
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                <gmd:URL>https://data.cefas.co.uk/view/19628</gmd:URL>
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                <gco:CharacterString>Cefas Data Portal</gco:CharacterString>
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                <gco:CharacterString>The Cefas Data Portal contains metadata records and data sets available to download and connect to in support of our commitment to open science. Data is available in the following formats: CSV, ESRI Shapefile. The data can also be accessed via the WFS and WMS protocols.</gco:CharacterString>
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            </gmd:CI_OnlineResource>
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                    <gmx:Anchor xlink:type="simple" xlink:href="http://data.europa.eu/eli/reg/2010/1089">Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services</gmx:Anchor>
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                  <gmd:date>
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                        <gco:Date>2010-12-08</gco:Date>
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            <gco:CharacterString>This product was generated using E.U. Copernicus Marine Service Information. 
Daily values from remote sensing data (CMEMS product 009_067 
DATASET-OC-ATL-CHL-MULTI-CCI-L3-CHL_1KM_DAILY-REP-V02) were used to obtain 
growing season 90th percentile values and means of chlorophyll concentrations 
to plot time series from 1998 to 2014.

Processing was done in python (part A):

1. Load netcdfs

2. Subset to the area of interest (15°W to 4°E, 48°N to 64°N).

3. Export netcdf of subsetted data layer (for part B)

4. Calculate the 90th percentile over March-October for each year

5. Export netcdf of growing season 90th percentiles (
chl_grseason_90pc_1998_2014.nc)

6. Calculate the mean over March-October for each year

7. Export netcdf of growing season mean (chl_grseason_mean_1998_2014.nc)

And R (part B)

1. Load netcdfs (from step 3 above)

2. Reshape data arrays to long data table format

3. Spatial overlay with regions

4. Calculate 90th percentile and mean over regions and growing season months 
for each year

5. Export csvs

Additionally, to facilitate fast display in browsers the gridded netcdfs were 
resampled in R using bilinear interpolation to approximately 5km resolution.</gco:CharacterString>
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