Articles | Volume 13, issue 12
https://doi.org/10.5194/essd-13-5915-2021
https://doi.org/10.5194/essd-13-5915-2021
Data description paper
 | 
22 Dec 2021
Data description paper |  | 22 Dec 2021

Climatological distribution of dissolved inorganic nutrients in the western Mediterranean Sea (1981–2017)

Malek Belgacem, Katrin Schroeder, Alexander Barth, Charles Troupin, Bruno Pavoni, Patrick Raimbault, Nicole Garcia, Mireno Borghini, and Jacopo Chiggiato

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Cited articles

Barnes, S.L.: A technique for maximizing details in numerical weather map analysis, J. App. Meteor., 3, 396–409, https://doi.org/10.1175/1520-0450(1964)003<0396:ATFMDI>2.0.CO;2, 1964. 
Barnes, S. L.: Applications of the Barnes Objective Analysis Scheme, Part III: Tuning for Minimum Error, J. Atmos. Ocean. Tech., 11, 1459–1479, 1994. 
Barth, A., Beckers, J.-M., Troupin, C., Alvera-Azcárate, A., and Vandenbulcke, L.: divand-1.0: n-dimensional variational data analysis for ocean observations, Geosci. Model Dev., 7, 225–241, https://doi.org/10.5194/gmd-7-225-2014, 2014. 
Bartoli, G., Migon, C., and Losno, R.: Atmospheric input of dissolved inorganic phosphorus and silicon to the coastal northwestern Mediterranean Sea: fluxes, variability and possible impact on phytoplankton dynamics, Deep-Sea Res. Pt. I, 52, 2005–2016, https://doi.org/10.1016/j.dsr.2005.06.006, 2005. 
Beckers, J. M., Barth, A., Troupin, C., and Alvera-Azcárate, A.: Approximate and efficient methods to assess error fields in spatial gridding with data interpolating variational analysis (DIVA), J. Atmos. Ocean. Tech., 31, 515–530, https://doi.org/10.1175/JTECH-D-13-00130.1, 2014. 
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Short summary
The Mediterranean Sea exhibits an anti-estuarine circulation, responsible for its low productivity. Understanding this peculiar character is still a challenge since there is no exact quantification of nutrient sinks and sources. Because nutrient in situ observations are generally infrequent and scattered in space and time, climatological mapping is often applied to sparse data in order to understand the biogeochemical state of the ocean. The dataset presented here partly addresses these issues.
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