• Bracher A., Taylor M. H., Taylor B., Dinter T., Röttgers R., Steinmetz F.: Using empirical orthogonal functions to derive from remote sensing reflectance concentrations of different phytoplankton pigments. Submitted on 30 Jul and revised on 29 Nov 2014 to Ocean Science.
  • Soppa M. A., Hirata T., Brenner S., Dinter T., Peeken I., Wiegmann S., Bracher A. (2014) Global retrieval of diatoms abundance based on phytoplankton pigments and satellite. Remote Sensing 6: 10089-10106.

  • Cheah W., Taylor B.B., Wiegmann S., Raimund S., Krathmann G., Quack B., Bracher A. (2013): Photophysiological state of natural phytoplankton communities in the South China Sea and Sulu Sea. Biogeosciences Discussion, Copernicus, 10, pp. 12115-12153, doi:10.5194/bgd-10-12115-2013.
  • Ramírez-Pérez M., “Linkage between transport processes, underwater light variability and water quality in a coastal ecosystem by means of numerical models and advanced observational technologies”. Universitat Politècnica de Catalunya. Master thesis, September 2013. Supervisors: Dr. J. Piera and J. Ballabrera.
  • Bracher A., Hirata T. (2013): Phytoplankton Community Structure from Ocean Colour: Methods, Validation, Intercomparison and Applications. Report on Splinter Session 10, International Ocean Color Science (IOCS) Meeting, Darmstadt, pp. 1-5.
  • Zindler C., Bracher A., Marandino C. A., Taylor B., Torrecilla E., Kock A. and Bange H. W. (2013): Sulphur compounds, methane, and phytoplankton: interactions along a north-south transit in the western Pacific Ocean , Biogeosciences, Copernicus, 10, pp. 3297-3311, doi:10.5194/bg-10-3297-2013.
  • Sadeghi A., Dinter T., Vountas M., Taylor B., Peeken I., Altenburg Soppa M. and Bracher A. (2012): Improvements to the PhytoDOAS method for identification of coccolithophores using hyper-spectral satellite data. Ocean Sciences, Copernicus, 8 (6), pp. 1055-1070,  doi: 10.5194/os-8-1055-2012.
  • Sadeghi A., Dinter T., Vountas M., Taylor B., Altenburg-Soppa M. and Bracher A. (2012): Remote sensing of coccolithophore blooms in selected oceanic regions using the PhytoDOAS method applied to hyper-spectral satellite data, Biogeosciences, Copernicus, 9 (6), pp. 2127-2143, doi: 10.5194/bg-9-2127-2012.
  • Sadeghi A., Dinter T., Vountas M., Taylor B. and Bracher, A. (2012): Improving the PhytoDOAS method to retrieve coccolithophores using hyper-spectral satellite data. In: Earth System Science: Bridging the Gaps between Disciplines Perspectives from a Multi-disciplinary Helmholtz Graduate Research School, Series: SpringerBriefs in Earth System Sciences. Editors: G. Lohmann, K. Grosfeld, D. Wolf-Gladrow, V. Unnithan, J. Notholt and A. Wegner, Heidelberg, Springer, 138 p., ISBN: 978-3-642-32235-8, doi: 10.1007/978-3-642-32235-8.