Dr. Marcus Huntemann

University of Bremen
Institute of Environmental Physics
Bibliothekstraße 1, 28359 Bremen, Germany
Uni Boulevard 18 (building SpT) office C3240,
phone +49-421-218-62182

email: marcus.huntemann(at)uni-bremen.de

Curriculum Vitae and Research Interests

Marcus Huntemann received his Diploma and Ph.D. in physics from the University of Bremen, Germany, in 2011 and 2015, respectively. Since then he works as a postdoc in the junior research group of sea ice remote sensing at the Institute of Environmental Phyiscs at the University of Bremen.

His main research interests are remote sensing of sea ice and numerical modeling of thermodynamic sea ice evolution and interaction of sea ice with electromagnetic radiation mostly in the microwave regime. Closely related is his affiliation to high performance scientific computing, data analysis methodology and application of machine learning concepts to environmental data. He supports open source software and is part of the developer team of adda, an EM-scattering software where he contributed the OpenCL (GPU) branch. Recently, he is working with interferrometric SAR data over sea ice and the German Wadden Sea.




Dorschel, B. , Gutt, J. , Huhn, O. , Bracher, A. , Huntemann, M. , Huneke, W. , Gebhardt, C. , Schröder, M. and Herr, H. (2016) Environmental information for a marine ecosystem research approach for the northern Antarctic Peninsula (RV Polarstern expedition PS81, ANT-XXIX/3) , Polar Biology, 39 (5), pp. 765-787 . doi:10.1007/s00300-015-1861-2

Yurkin, M.A. and Huntemann, M. (2015) Rigorous and Fast Discrete Dipole Approximation for Particles near a Plane Interface The Journal of Physical Chemistry C 2015 119 (52), 29088-29094, doi: 10.1021/acs.jpcc.5b09271

Istomina, L., Heygster, G., Huntemann, M., Schwarz, P., Birnbaum, G., Scharien, R., Polashenski, C., Perovich, D., Zege, E., Malinka, A., Prikhach, A., & Katsev, I. (2015). Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data, The Cryosphere, 9, 1551-1566, doi:10.5194/tc-9-1551-2015

Istomina, L., Heygster, G., Huntemann, M., Marks, H., Melsheimer, C., Zege, E., Malinka, A., Prikhach,A., & Katsev, I. (2015). Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 2: Case studies and trends of sea ice albedo and melt ponds in the Arctic for years 2002–2011, The Cryosphere, 9, 1567-1578, doi:10.5194/tc-9-1567-2015

Huntemann, M., & Heygster, G. (2015). A New Method to Filter Out Radio-Frequency Interference (RFI) from SMOS Level 1C Data for Sea Ice Applications. In G. Lohmann, H. Meggers, V. Unnithan, D. Wolf-Gladrow, J. Notholt, & A. Bracher (Eds.), Towards an Interdisciplinary Approach in Earth System Science (pp. 91–98). doi:10.1007/978-3-319-13865-7_11

Yurkin, M. A., & Huntemann, M. (2014). Discrete dipole approximation for particles near surface: a 3D-FFT-accelerated implementation. In Laser-light and Interactions with Particles (LIP-2014), Conference Paper, doi:10.13140/2.1.2990.0160

Huntemann, M., Heygster, G., Kaleschke, L., Krumpen, T., Mäkynen, M., & Drusch, M. (2014). Empirical sea ice thickness retrieval during the freeze-up period from SMOS high incident angle observations. The Cryosphere, 8(2), 439–451. doi:10.5194/tc-8-439-2014

Heygster, G., Huntemann, M., Ivanova, N., Saldo, R., & Pedersen, L. T. (2014). Response of passive microwave sea ice concentration algorithms to thin ice. In 2014 IEEE Geoscience and Remote Sensing Symposium (pp. 3618–3621). IEEE. doi:10.1109/IGARSS.2014.6947266

Huntemann, M., Heygster, G., & Hong, G. (2011). Discrete dipole approximation simulations on GPUs using OpenCL—Application on cloud ice particles. Journal of Computational Science, 2(3),262–271. doi:10.1016/j.jocs.2011.05.011