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Climatological distribution of dissolved inorganic nutrients in the western Mediterranean Sea (1981-2017)
Belgacem, M.; Schroeder, K.; Barth, A.; Troupin, C.; Pavoni, B.; Raimbault, P.; Garcia, N.; Borghini, M.; Chiggiato, J. (2021). Climatological distribution of dissolved inorganic nutrients in the western Mediterranean Sea (1981-2017). ESSD 13(12): 5915-5949. https://dx.doi.org/10.5194/essd-13-5915-2021
In: Earth System Science Data. Copernicus: Göttingen. ISSN 1866-3508; e-ISSN 1866-3516, meer
Peer reviewed article  

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  • Belgacem, M.
  • Schroeder, K.
  • Barth, A., meer
  • Troupin, C., meer
  • Pavoni, B.
  • Raimbault, P.
  • Garcia, N.
  • Borghini, M.
  • Chiggiato, J.

Abstract
    The Western MEDiterranean Sea BioGeochemical Climatology (BGC-WMED, https://doi.org/10.1594/PANGAEA.930447) (Belgacem et al., 2021) presented here is a product derived from quality-controlled in situ observations. Annual mean gridded nutrient fields for the period 1981-2017 and its sub-periods 1981-2004 and 2005-2017 on a horizontal 1/4 degrees x 1/4 degrees grid have been produced. The biogeochemical climatology is built on 19 depth levels and for the dissolved inorganic nutrients nitrate, phosphate and orthosilicate. To generate smooth and homogeneous interpolated fields, the method of the variational inverse model (VIM) was applied. A sensitivity analysis was carried out to assess the comparability of the data product with the observational data. The BGC-WMED was then compared to other available data products, i.e., the MedBFM biogeochemical reanalysis of the Mediterranean Sea and the World Ocean Atlas 2018 (WOA18) (its biogeochemical part). The new product reproduces common features with more detailed patterns and agrees with previous records. This suggests a good reference for the region and for the scientific community for the understanding of inorganic nutrient variability in the western Mediterranean Sea, in space and in time, but our new climatology can also be used to validate numerical simulations, making it a reference data product.

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