• 1 Data information
  • 2 Geographical extent
    • 2.1 Coordinates
    • 2.2 Defined area
  • 3 Analysis (graphs)
    • 3.1 Monthly composite
    • 3.2 Average
    • 3.3 Monthly climatology
    • 3.4 Monthly boxplot
    • 3.5 Anomalies
  • 4 Analysis (data)
    • 4.1 Average seasonal decomposition
    • 4.2 Download
  • 5 Dynamic graphs
    • 5.1 Time series
    • 5.2 Seasonal component
    • 5.3 Trend
    • 5.4 Residual
  • 6 References
  • 7 Open-notebook

1 Data information

Monthly mean sea surface Chlorophyll-a concentration (in mg.m^-3 (log10) at 4km resolution - Satellite remote sensing Ocean color data): Chlorophyll is a photosynthetic pigment commonly present in all phytoplankton species. It is used as a proxy for phytoplankton biomass. Chlorophyll concentration is a standard product from satellite-based optical sensors, usually retrieved from empirical algorithms using reflectance ratios at two or more wavebands.

Access metadata from dataset’s landing page

2 Geographical extent

2.1 Coordinates

## [1] "West-Longitude: -1.6"
## [1] "South-Latitude: 37.2"
## [1] "East-Longitude: 2.5"
## [1] "North-Latitude: 38.9"

2.2 Defined area

Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under ODbL.

3 Analysis (graphs)

3.1 Monthly composite

Click on the image to enlarge

3.2 Average

3.3 Monthly climatology

3.4 Monthly boxplot

4 Analysis (data)

4.1 Average seasonal decomposition

4.2 Download

name unite timerange pixelnb fracnbna fractsna mean sd min max varseason vartrend trendtest sen.slope
CHLA mg.m-3 1998.01/2018.12 4158 22.69 0 0.2744568 0.431714 0.0208882 61.8488 78.87444 0.8861264 0 0.0021046

Download analysis data (csv) [Time,“Time series”,“Seasonal component”,“Trend”,“Residual”]

5 Dynamic graphs

5.1 Time series

"Time series"
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5.2 Seasonal component

"Seasonal component"
-0.15
-0.1
-0.05
0
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0.25
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5.3 Trend

"Trend"
0.25
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0.3
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5.4 Residual

"Residual"
-0.2
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0
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6 References


The parameters are monthly data.

var gives the short name of the parameter processed.

timerange is the time range of the parameter.

pixelnb gives the number of x by x km pixels covering the defined geographical extent.

fracnbna is the percentage of missing data in the defined area over the time range.

fractsna is the percentage of missing value for the time series of the parameters. This time serie is calculated using the monthly mean of the pixel values inside the defined area.

mean is the average value of the parameter inside the defined area over the time range.

sd is the standard deviation of the parameter values inside the defined area over the time range.

min is the minimum of the parameter values inside the defined area over the time range.

max is the maximum of the parameter values inside the defined area over the time range.

The monthly time series X(t) of the parameter is decomposed as X(t)=S(t)+T(t)+I(t) (see Vantrepotte and Melin, 2009), where S, T, and I represent, respectively, a seasonal signal, a trend, and an irregular (or residual) component (or remainder). These components are presented in the figure “seasonal composition”.

In this framework:
varseason is the percentage of variance associated with the seasonal component and “vartrend” the percentage of variance associated with the linear component (the trend).

A statistical test (Kendall rank correlation coefficient) is performed on the linear component in order to assess the significance of a monotic trend:
trendtest gives the p.value associated to this test.

senslope gives the value of the Sen slope (alternately, Theil slope). This value is the median slope joining all pairs of observations and is expressed by quantity per year.

References: Vantrepotte, V. Melin, F. Temporal variability of 10-year global SeaWiFS time-series of phytoplankton chlorophyll a concentration ICES J. Mar. Sci., 2009, 66, 1547-1556

7 Open-notebook

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