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Arctic Ocean freshwater changes over the past 100 years and their causes. Journal of Climate [Internet]. 2008;21. Available from: http://dx.doi.org/10.1175/2007JCLI1748.1.
Arctic sea ice variability observed by satellite passive microwave sensors: sea ice algorithms comparison. World Climate Research Programme workshop on seasonal to multi-decadal predictability of polar climate. 2010..
Arctic sea ice variability observed by satellite passive microwave sensors: sea ice algorithms comparison. IPY - OsloScience Conference. 2010..
Arctic sea ice variability observed by satellite passive microwave sensors: sea ice algorithms comparison. WCRP Polar Climate Predictability Workshop [Internet]. 2010. Available from: http://www.atmosp.physics.utoronto.ca/SPARC/PolarWorkshop/main.html.
Comparison of the Arctic sea ice extent and area time series obtained from different algorithms for sea ice concentration using passive microwave sensor data. In: Arctic Science Summit Week. Arctic Science Summit Week. 23 – 28 March 2009, Bergen, Norway; 2009. p. ..
Eddy-current interactions using a quasi-geostrophic model. In: Mesoscale/ synoptic coherent structures in geophysical turbulence. Mesoscale/ synoptic coherent structures in geophysical turbulence. ; 1989. p. 277 -291..
On the effect of a sill on dense water formation in a marginal sea. Journal of Marine Research [Internet]. 2008;66:325-345. Available from: http://dx.doi.org/10.1357/002224008786176016.
Encounter of Foehn Wind with an Atmospheric Eddy over the Black Sea as Observed by the Synthetic Aperture Radar Onboard Envisat. Monthly Weather Review. 2011;139(12):3992 - 4000..
Environmental monitoring of the St.Petersburg Region using ERS data. Proceedings Third Symposium on Space at the service of our Environment Florence, Italy, 14. - 21. March, ESA SP-414. 1997;1:325-330..
An estimate of wind waves damping by biogenic and oil surface films. Preprint no. 765, Institute of Applied physics RAS, Nizhny Novgorod. 2008..
Evaluation of ocean carbon cycle models with data-based metrics. Geophysical Research Letters. 2004;31.
Evaluation of ocean model ventilation with CFC-11:comparison of 13 global ocean models. Ocean Modelling. 2002:89-120.
Geodetic observations of the ocean surface topography, geoid, currents and changes in ocean mass and volume, Plenary Session Paper . Proceedings of OceanObs’09: Sustained Ocean Observations and Information for Society [Internet]. 2010:14. Available from: http://www.oceanobs09.net/
The Greenland flow distortion experiment. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY. 2008;89:18.
Heat in the Barents Sea: Transport, storage, and surface fluxes. Ocean Science [Internet]. 2010;6:219-234. Available from: www.ocean-sci.net/6/219/2010/.
High resolving sea ice concentration, and thickness of thin sea ice. Joint PI Workshop of Global Environment Observation Mission 2012. 2013..
Implementation of a new parameterisation of the surface turbulent fluxes for the stable stratification in NWP model HIRLAM. Abstracts: 27th EGS General Assembly, Nice, France, 21-26 April 2002. 2002..
Improved oceanographic database for the Nordic Seas. EGU General Assembly, EGU-A-04222. 2006;8..
Innovative measurements of persistent surface currents from Envisat ASAR – A new tool for routine monitoring. EuroGOOS Conference. 2008..
Interannual variability of water mass in the Greenland Sea and the adjacent areas. Journal of the Norwegian Polar Research. 2001;20:201-208..
Interrelated Changes of Arctic Sea Ice and Surface Air Temperature during last 100 years. Proceedings of JUGG 2007, 2-13 July 2007, Perugia, Italy. 2007..
Investigation of coastal wind fields over the Black Sea using Envisat Synthetic Aperture Radar images. ESA Living Planet Symposium [Internet]. 2010. Available from: http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html.