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

Related authors

Dissolved inorganic nutrients in the western Mediterranean Sea (2004–2017)
Malek Belgacem, Jacopo Chiggiato, Mireno Borghini, Bruno Pavoni, Gabriella Cerrati, Francesco Acri, Stefano Cozzi, Alberto Ribotti, Marta Álvarez, Siv K. Lauvset, and Katrin Schroeder
Earth Syst. Sci. Data, 12, 1985–2011, https://doi.org/10.5194/essd-12-1985-2020,https://doi.org/10.5194/essd-12-1985-2020, 2020
Short summary

Related subject area

Chemical oceanography
A decade-long cruise time series (2008–2018) of physical and biogeochemical conditions in the southern Salish Sea, North America
Simone R. Alin, Jan A. Newton, Richard A. Feely, Dana Greeley, Beth Curry, Julian Herndon, and Mark Warner
Earth Syst. Sci. Data, 16, 837–865, https://doi.org/10.5194/essd-16-837-2024,https://doi.org/10.5194/essd-16-837-2024, 2024
Short summary
A regional pCO2 climatology of the Baltic Sea from in situ pCO2 observations and a model-based extrapolation approach
Henry C. Bittig, Erik Jacobs, Thomas Neumann, and Gregor Rehder
Earth Syst. Sci. Data, 16, 753–773, https://doi.org/10.5194/essd-16-753-2024,https://doi.org/10.5194/essd-16-753-2024, 2024
Short summary
A 12-year-long (2010–2021) hydrological and biogeochemical dataset in the Sicily Channel (Mediterranean Sea)
Francesco Placenti, Marco Torri, Katrin Schroeder, Mireno Borghini, Gabriella Cerrati, Angela Cuttitta, Vincenzo Tancredi, Carmelo Buscaino, and Bernardo Patti
Earth Syst. Sci. Data, 16, 743–752, https://doi.org/10.5194/essd-16-743-2024,https://doi.org/10.5194/essd-16-743-2024, 2024
Short summary
A decade of marine inorganic carbon chemistry observations in the northern Gulf of Alaska – insights into an environment in transition
Natalie M. Monacci, Jessica N. Cross, Wiley Evans, Jeremy T. Mathis, and Hongjie Wang
Earth Syst. Sci. Data, 16, 647–665, https://doi.org/10.5194/essd-16-647-2024,https://doi.org/10.5194/essd-16-647-2024, 2024
Short summary
A novel sea surface pCO2-product for the global coastal ocean resolving trends over 1982–2020
Alizée Roobaert, Pierre Regnier, Peter Landschützer, and Goulven G. Laruelle
Earth Syst. Sci. Data, 16, 421–441, https://doi.org/10.5194/essd-16-421-2024,https://doi.org/10.5194/essd-16-421-2024, 2024
Short summary

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. 
Download
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.
Altmetrics
Final-revised paper
Preprint