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Other COSYNA Products

  • Temperature
  • Waves
  • Chlorophyll

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    Sea surface temperatures (SST) from satellites (Operational Sea Surface Temperature and Sea Ice Analysis – OSTIA) and FerryBoxes are assimilated into a North and Baltic Sea version of the three-dimensional circulation model GETM (General Estuarine Transport Model). The output is validated against independent data sets (for instance, the MARNET Deutsche Bucht station).


    COSYNA product: Temperature results from a model, assimilated by remote sensing (OSTIA data set) for June 2017.


    The pre-operational COSYNA wave forecast model system runs twice a day at 0 and 12 UTC and provides a 72 hour forecast horizon on the regional scale for the North Sea and on the local scale for the German Bight (resolution: 1 km). With boundary information from the regional wave model EWAM (DWD) a number of wave parameters such as significant wave height, period, and total wave direction are calculated. Wave rider buoys serve for validation of the model outputs


    COSYNA product: Wave forecast. Model calculations on January 5 show the forecasts for January 7 and January 10. Due to a storm from North significant wave heights are predicted to increase (which was later verified by measurements).


    Monthly means and maxima are derived from the daily fields to obtain an improved understanding of chlorophyll dynamics and to reduce the effect of cloud coverage on data. The images show the monthly maximum concentrations of chlorophyll in 2017. They were created by combining many daily scenes for each month. Optical remote sensing is ideal for obtaining spatial information over large areas for almost every day. The lack of information in deeper water levels and under clouds requires additional information from in situ measurements in combination with numerical models to interpolate missing data. Additional in situ data from measurement campaigns and stationary observing systems are taken to validate and improve satellite-derived data.


    COSYNA product: Monthly mean chlorophyll concentrations. After the first algal bloom in April chlorophyll concentrations decrease in July due to lack of nutrients. In October the concentrations increase again (fall bloom).

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