Estimating the high latitude phytoplankton diversity based on multi- and hyper-spectral satellite retrievals and modeling
ORCID: https://orcid.org/0000-0003-2153-1954, Soppa, Mariana Altenburg, Oelker, Julia, Dinter, Tilman, Losch, Martin ORCID: https://orcid.org/0000-0002-3824-5244, Dutkiewicz, Stephanie, Richter, Andreas, Rozanov, Vladimir, Burrows, J. P. and Bracher, Astrid ORCID: https://orcid.org/0000-0003-3025-5517
;
With a focus at high latitudes, Information on phytoplankton compositions - diatom, coccolithophore, cyanobacteria - retrieved with PhytoDOAS (Bracher et al. 2009, Sadeghi et al. 2012) from available hyper-spectral optical satellite measurements (SCIAMACHY and OMI) is synergistically combined via an optimal interpolation technique with multi-spectral optical OC-CCI-based satellite data (Soppa et al. 2014). When combining the hyper- and multispectral retrievals, we are to assess various designs with different spatial radiuses and time windows of the data influence. The results are supported by a modeling study: The dynamics of diatoms and coccolithophores among other six phytoplankton types are simulated with the DARWIN biogeochemical model (Follows et al. 2007, Dutkiewicz et al. 2015) coupled to the MassachusettsInstitute of Technology General Circulation Model (MITgcm Group 2012). Evaluation is done with in situ high precision liquid chromatography (HPLC) measurements.
ORCID: https://orcid.org/0000-0003-2153-1954, Soppa, Mariana Altenburg, Oelker, Julia, Dinter, Tilman, Losch, Martin ORCID: https://orcid.org/0000-0002-3824-5244, Dutkiewicz, Stephanie, Richter, Andreas, Rozanov, Vladimir, Burrows, J. P. and Bracher, Astrid ORCID: https://orcid.org/0000-0003-3025-5517
;
AWI Organizations > Climate Sciences > Climate Dynamics
AWI Organizations > Climate Sciences > Junior Research Group: Phytooptics
Edit Item
