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A global database of sea surface dimethylsulfide (DMS) measurements and a procedure to predict sea surface DMS as a function of latitude, longitude, and month
Global Biogeochemical Cycles
  • A J Kettle, Max Planck Institute for Chemistry
  • M O Andreae, Max Planck Institute for Chemistry
  • D Amouroux, Université de Pau et des Pays de l'Adour
  • T W Andreae, Max Planck Institute for Chemistry
  • T S Bates, NOAA/Pacific Marine Environmental Laboratory, Seattle
  • H Berresheim, DWD/MOHp, Hohenpeissenberg
  • H Bingemer, Johann Wolfgang Goethe University
  • R Boniforti, ENEA Centra Ricerche Ambiente Marino, La Spezia
  • M AJ Curran
  • G R DiTullio, University of Charleston
  • G Helas, Max Planck Institute for Chemistry
  • Graham B Jones, Southern Cross University
  • M D Keller, Bigelow Laboratory of Ocean Sciences
  • R P Kiene, University of South Alabama
  • C Leck, Stockholm University
  • M Levasseur, Institut Maurice-Lamontagne
  • G Malin, University of East Anglia
  • M Maspero, CISE SpA, Milano
  • P Matrai, Bigelow Laboratory of Ocean Sciences
  • A R McTaggart, Australia Antarctic Division
  • N Mihalopoulos, Universityof Crete
  • B C Nguyen, Centre des Faibles Radioactivités, Gif-Sur-Yvettte
  • A Novo, ENEL-CRAM, Milano
  • J P Putaud, Joint Research Centre, Ispra, Ita S. Rapsomanikis
  • S Rapsomanikis, Max Planck Institute for Chemistry
  • G Roberts, Max Planck Institute for Chemistry
  • G Schebeske, Max Planck Institute for Chemistry
  • S Sharma, Atmospheric Environment Service, Downsview, Ontario
  • R Simó, Institue de Ciencies del March, Barcelona
  • R Staubes, Johann Wolfgang Goethe University
  • S Turner, University of East Anglia
  • G Uher, Universiity of Newcastle upon Tyne
Document Type
Article
Publication Date
1-1-1999
Peer Reviewed
Peer-Reviewed
Abstract
A database of 15,617 point measurements of dimethylsulfide (DMS) in surface waters along with lesser amounts of data for aqueous and particulate dimethylsulfoniopropionate concentration, chlorophyll concentration, sea surface salinity and temperature, and wind speed has been assembled. The database was processed to create a series of climatological annual and monthly l°×l° latitude-longitude squares of data. The results were compared to published fields of geophysical and biological parameters. No significant correlation was found between DMS and these parameters, and no simple algorithm could be found to create monthly fields of sea surface DMS concentration based on these parameters. Instead, an annual map of sea surface DMS was produced using an algorithm similar to that employed by Conkright et al. [1994]. In this approach, a first-guess field of DMS sea surface concentration measurements is created and then a correction to this field is generated based on actual measurements. Monthly sea surface grids of DMS were obtained using a similar scheme, but the sparsity of DMS measurements made the method difficult to implement. A scheme was used which projected actual data into months of the year where no data were otherwise present.
Citation Information

Kettle, AJ, Andreae, MO, Amouroux, D, Andreae, TW, Bates, TS, Berresheim, H, Bingemer, H, Boniforti, R, Curran, MAJ, DiTullio, GR, Helas, G, Jones, GB, Keller, MD, Kiene, RP, Leck, C, Levasseur, M, Malin, G, Maspero, M, Matrai, P, McTaggart, AR, Mihalopoulos, N, Nguyen, BC, Novo, A, Putaud, JP, Rapsomanikis, S, Roberts, G, Schebeske, G, Sharma, S, Simó, R, Staubes, R, Turner, S & Uher, G 1999, 'A global database of sea surface dimethylsulfide (DMS) measurements and a procedure to predict sea surface DMS as a function of latitude, longitude, and month', Global Biogeochemical Cycles, vol. 13, no. 2, pp. 399-444.

Published version available from:

http://dx.doi.org/10.1029/1999GB900004