Biblio
Filters: First Letter Of Last Name is B [Clear All Filters]
The plankton community in Norwegian coastal waters - abundance, composition, spatial distribution and diel variation. Continental Shelf Research 31, 14 (2011).
Data assimilation for marine monitoring and prediction: The MERCATOR operational assimilation systems and the MERSEA developments. Q. J. R. Meteorol. Soc. 131, 3561-3582 (2006).
Connections between data assimilation and machine learning to emulate a numerical model. (2019).doi:10.5065/y82j-f154
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. Journal of Computational Science 44, (2020).
Quantifying the Impact of Wind‐Current Feedback on Mesoscale Variability in Forced Simulation Experiments of the Agulhas Current Using an Eddy‐Tracking Algorithm. Journal of Geophysical Research (JGR): Oceans 125, (2020).
Key indicators of Arctic climate change: 1971–2017. Environmental Research Letters 14, (2019). Abstract
Global sea-level contribution from Arctic land ice: 1971-2017. Environmental Research Letters 13:125012, (2018).
Annual cycles of sea level and sea surface temperature in the western Mediterranean Sea. Journal of Geophysical Research Oceans 108, 4-1-4-20 (2003). Abstract
Classification of sea ice types in sentinel-1 SAR data using convolutional neural networks. Remote Sensing 12, (2020).
Presentation of the dynamical core of neXtSIM, a new sea ice model. Ocean Modelling 91, (2015). Abstract
On producing sea ice deformation data sets from SAR-derived sea ice motion. The Cryosphere 9, (2015). Abstract
Sea ice modelling and forecasting. (2018).
An elastic–viscous–plastic sea ice model formulated on Arakawa B and C grids. Ocean Modelling 27, 174 - 184 (2009).
Power law fault length distribution exponent: a synthesis. NGF (Geological Society of Norway), annual meeting, Stavanger 6-8 Jan 1999 (1999).
Statistical analysis of two dimensional fracture patterns in Granite, from Rogaland region. Second Progress Report ENV-CT97-0456 to EC (1999).
Sea-state contributions to sea-level variability in the European Seas. Ocean Dynamics (2020).doi:10.1007/s10236-020-01404-1
Multisensor approach to automated classification of sea ice image data. IEEE Transactions on geoscience and remote sensing 43, 1648-1664 (2005). Abstract
Automatic Classification of RADARSAT SAR Images of the Northern Sea Route. In proceedings of IGARSS'99, Hamburg Germany, 28June-2July,1999 (1999).
CoCoNet: Towards Coast to Coast Networks of Marine Protected Areas (from the shore to the high and deep sea), coupled with Sea-Based Wind Energy Potential. SCIRES-IT SCIentific RESearch and Information Technology 6, (2017).
CoCoNet: Towards Coast to Coast Networks of Marine Protected Areas (from the shore to the high and deep sea), coupled with Sea-Based Wind Energy Potential. SCIRES-IT : SCIentific RESearch and Information Technology 6, (2016).
Reference upper-air observations for climate: From concept to reality. Bulletin of The American Meteorological Society - (BAMS) 97, (2016).
