Biblio
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Changes in the Arctic sea ice cover from passive microwave satellite measurements. Proceedings of Scientific Conference High Latitude Seas and Marine Cryosphere , 25 27 October 2007, St. Petersburg, Russia (2007).
Ch. 2: Our Changing Climate. Climate Change Impacts in the United States: The third National Climate Assessment (2014).doi:10.7930/J0KW5CXT
Certain aspects of high-latitude climate variability. 188 (2014).
A Cautionary Note on the Use of the Kolmogorov-Smirnov Test for Normality. Monthly Weather Review 135, 1151-1157 (2007).
Causes of the large warm bias in the Angola–Benguela Frontal Zone in the Norwegian Earth System Model. Climate Dynamics (2017).doi:10.1007/s00382-017-3896-2
Case Study of a Coastal jet at Spitsbergen - Comparison of SAR- and model-estimated wind. Monthly Weather Review 130, 1040-1051 (2002).
The carbon cycle in the Greenland Sea ESOP-2 Final Report. GEOS, Univ. i Bergen to EC FP4 (1999).
Capabilities of Remote Sensing as a source of operative objective information about the polar sea ice cover state. Oceanograpy and Sea Ice 19 (2011).
Can Environmental Conditions at North Atlantic Deep-Sea Habitats Be Predicted Several Years Ahead? ——Taking Sponge Habitats as an Example. Frontiers in Marine Science 8, (2021).
Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology 8, (2015).
A brief history of climate e the northern seas from the last Glacial Maximum to global warming. Quaternary Science Reviews 106, (2014).
Bridging observations, theory and numerical simulation of the ocean using machine learning. Environmental Research Letters 16, (2021).
BIO-OPTICAL RETRIEVAL ALGORITHM FOR THE OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. II. EFFICIENCY ASSESSMENT. Труды Карельского научного центра Российской академии наук 3, (2018).
BIO-OPTICAL RETRIEVAL ALGORITHM FOR THE OPTICALLY SHALLOW WATERS OF LAKE MICHIGAN. I.MODEL DESCRIPTION AND SENSITIVITY/ROBUSTNESS ASSESSMENT. Труды Карельского научного центра Российской академии наук 3, (2017).
Biomass changes and trophic amplification of plankton in a warmer ocean. Global Change Biology 20, (2014).
Better Operational Forecasting for the Contemporary Arctic via Ocean Wave Assimilation. ISOPE 2012: The 22nd International Ocean and Polar Engineering Conference (2012).
Better Operational Forecasting for Contemporary Arctic via Ocean Wave Integration. International Journal of Offshore and Polar Engineering 23, (2013).
Bergen earth system model (BCM-C): model description and regional climate-carbon cycle feedbacks assessment. Geoscientific Model Development 3, (2010). Abstract
Download: gmd-3-123-2010.pdf (3.31 MB)
The Bergen Climate Model (BMC) - a fully coupled, global atmosphere-sea ice-ocean climate Model. China-Norway Joint Symposium on Polar Science, July 30 - August 2, Shanghai, China (2001).
Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. Remote Sensing of Environment 203, (2017).
Barents Sea seasonal ice Zone features and processes from ERS 1 synthetic aperture radar: Seasonal Ice Zone Experiment 1992. Journal of Geophysical Research 104, 15843-15857 (1999). Abstract
AXBT and XBT temperature measurements from MIZEX 1983, 1984 and 1985. NERSC Technical Report no. 1 (1987).
Avblåser frykten for en ny istid. Aftenposten (2005).