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Pytte, E. Utvikling av et system for analyse og presentasjon av isdata. Master Thesis No. 56 (2000).

Pulido, M., Tandeo, P., Bocquet, M., Carrassi, A. & Lucini, M. Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods. Tellus. Series A, Dynamic meteorology and oceanography 70, (2018).

Pripp, T., Gammelsrød, T. & Krakstad, J.-O. Physical influence on biological production along the western shelf of Madagascar. Deep-sea research. Part II, Topical studies in oceanography (2013).

Pozdnyakov, D., Korosov, A., Pettersson, L.H. & Johannessen, O.M. MODIS evidences the river run-off impact on the Kara Sea trophy. International Journal of Remote Sensing 26, 3641-3648 (2005).

Pozdnyakov, D., Pettersson, L.H. & Korosov, A. Exploring the Marine Ecology from Space -experience from Russian-Norwegian cooperation. 215 (2017).at <http://www.springer.com/gp/book/9783319300740>

Pozdnyakov, D., Kondratyev, K.Y. & Pettersson, L.H. Remote sensing assessment of phytoplankton primary productivity: Methodological Aspects. Earth Observation and Remote Sensing 16, 527-540 (2001).

Pozdnyakov, D., Johannessen, O.M., Pettersson, L.H. & Korosov, A. Climate- driven dynamics of biochemical fluxes and food web interactions in the Arctic seas strongly influenced by river discharge: a satellite-based case study of the White and Kara Seas. Arctic frontiers P. 25. (2007).

Pozdnyakov, D., Kondratyev, K.Y. & Pettersson, L.H. Remote sensing of natural water quality parameters. Retrieval algorithm development and optimisation methods. In proceeding SPIE International Conference on Ocean Optics XII, 13-15 June 1994, Bergen, Norway (1994).

Pozdnyakov, D., Korosov, A., Petrova, N.A. & Grassl, H. Multi-year satellite observations of Lake Ladoga's biogeochemical dynamics in relation to the lake's trophic status. Journal of Great Lakes research 39, (2013).

Pozdnyakov, D., et al. A Pilot Satellite-Based Investigation of the Impact of a Deep Polar Cyclone Propagation on the Phytoplankton Chlorophyll Spatial and Temporal Dynamics in the Arctic Ocean. (2014).doi:10.1007/978-3-642-40695-9_11

Pozdnyakov, D., Shuchman, R.A., Korosov, A. & Hatt, C. Operational algorithm for the retrieval of water quality in the Great Lakes. Remote Sensing of the Marine Environment 97, (2005).

Pozdnyakov, D., Lyaskovsky, A.V., Grassl, H. & Pettersson, L.H. Numerical simulations of transspectral interactions (TI) of light with aquatic medium. I. Impact of TI on the spectral distribution of upwelling radiance. Earth Observation and Remote Sensing 5, 3-15 (2000).

Pozdnyakov, D., et al. SeaWiFS maps of water quality parameters in the White Sea. International Journal of Remote Sensing 24, 4065-4071 (2003).

Pozdnyakov, D., Lyaskovsky, A.V., Grassl, H. & Pettersson, L.H. Numerical simulations of transspectral interactions(TI) of light with aquatic medium. II. Impact of TI on the water quality retrieval accuracy. Earth Observation and Remote Sensing 6, 1-18 (2000).

Pozdnyakov, D., et al. A synergistic assessment of carbon fluxes into and through the Kara Sea. Abstracts of SCAR/IASC IPY Open Conference, St. Petersburg, Russia, 8-11 July 2008, p. 235 (2008).

Pozdnyakov, D., Morozov, E., Korosov, A. & Pettersson, L.H. Observation of Multi-Year Spatial Dynamics of Biogeochemical Variables in the Bay of Biscay from Space. ESA Living Planet Symposium (2010).at <http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html> Abstract

Pozdnyakov, D., Kondratyev, K.Y. & Pettersson, L.H. Optimization of coastal zone airborne monitoring through thermohydrodynamic modelling and interpolation techniques. Proceedings for the 27th International Symposium on Remote Sensing of Environment Information for Sustainabilty Tromsø, Norway, organized by International Symposia on Remote Sensing of Environment (ISRSE) and the Norwegian Space Centre (1998).

Pozdnyakov, D. & Petrenko, D. Spaceborne quantitative assessment of primary production variations in the arctic ocean over the previous decade. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3, (2015).

Pozdnyakov, D., Lyaskovsky, A.V., Grassl, H. & Pettersson, L.H. Numerical modelling of transspectral processes in natural waters: implications for remote sensing. International Journal of Remote Sensing 23, 1581-1607 (2002).

Pozdnyakov, D., Korosov, A., Pettersson, L.H. & Ionov, V.V.V. New algorithm for natural water quality retrieval from spatial data (in Russian). Earth Observation and Remote Sensing 17-29 (2004).

Pozdnyakov, D., Korosov, A. & Pettersson, L.H. Visible and infrared remote sensing of the White Sea Bio-Geo-Chemistry and Hydrology. Remote Sensing of the European Seas 129-140 (2008).at <http://www.springerlink.com.pva.uib.no/content/w2j131575v6t43l6/> Abstract

Pozdnyakov, D., Lyaskovsky, A.V., Grassl, H. & Pettersson, L.H. Numerical modelling of water colour formation in coastal waters. Earth Observation and Remote Sensing, Russian Academy of Science 24-37 (2002).

Pozdnyakov, D. & Pettersson, L.H. Seasonal dynamics of the phenomenon of massive Emiliania huxleyi blooms across the Bay of Biscay as revealed from space. Proceedings of the 33rd International Symposium on Remote Sensing of Environment (ISRSE) (2009).

Pozdnyakov, D., Korosov, A., Grassl, H. & Pettersson, L.H. An advanced algorithm for operational retrieval of water quality parameters from satellite data in the visible. International Journal of Remote Sensing 26, 2669-2687 (2005).

Pozdnyakov, D., et al. Satellite evidence of ecosystem changes in the White Sea: A semi-enclosed arctic marginal shelf sea. Geophys. Res. Lett. 34, (2007).

Nansen Environmental and Remote Sensing Center (Bergen, Norway)	Nansen International Environmental and Remote Sensing Center (St. Petersburg, Russia)	Nansen-Bangladesh International Centre for Coastal, Ocean and Climate Studies (Dhaka, Bangladesh)
Nansen Environmental Research Center – India (Cochin, India)	Nansen–Zhu International Research Centre (Beijing, China)	Nansen-Tutu Centre for Marine Environmental Research (Cape Town, South Africa)