Browsing NORCE Energi og teknologi by Author "Pedersen, Geir"
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Acoustic characterization of an artificial CO2 seep using split-beam echo sounders
Loranger, Scott; Blomberg, Ann Elisabeth Albright; Pedersen, Geir; Waarum, Ivar-Kristian; Austeng, Andreas (Journal article; Peer reviewed, 2019)Geological carbon storage (GCS) has emerged as a promising method for reducing greenhouse gas emissions and achieving international climate goals. Currently, sub-seafloor GCS sites sequester about 1.8 MtCO2/yr. Additional ... -
Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project
Camus, Lionel; Andrade, Hector; Aniceto, Ana Sofia; Aune, Magnus; Bandara, Kanchana; Basedow, Sünnje Linnéa; Christensen, Kai Håkon; Cook, Jeremy; Daase, Malin; Dunlop, Katherine Mary; Falk-Petersen, Stig; fietzek, Peter; Fonnes, Gro; Ghaffari, Peygham; Gramvik, Geir; Graves, Inger; Hayes, Daniel; Langeland, Tom; Lura, Harald; Marin, Trond Kristiansen; Nøst, Ole Anders; Peddie, David; Pederick, Joel; Pedersen, Geir; Sperrevik, Ann Kristin; Sørensen, Kai; Tassara, Luca; Tjøstheim, Sigurd; Tverberg, Vigdis; Dahle, Salve (Journal article; Peer reviewed, 2021)Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, ... -
Fisheries acoustics and Acoustic Target Classification - Report from the COGMAR/CRIMAC workshop on machine learning methods in fisheries acoustics
Handegard, Nils Olav; Andersen, Lars Nonboe; Brautaset, Olav; Choi, Changkyu; Eliassen, Inge Kristian; Heggelund, Yngve; Hestnes, Arne Johan; Malde, Ketil; Osland, Håkon; Ordonez, Alba; Patel, Ruben; Pedersen, Geir; Umar, Ibrahim; Engeland, Tom Van; Vatnehol, Sindre (Rapport fra havforskningen, Research report, 2021)This report documents a workshop organised by the COGMAR and CRIMAC projects. The objective of the workshop was twofold. The first objective was to give an overview of ongoing work using machine learning for Acoustic Target ... -
Long-Term Statistics of Observed Bubble Depth Versus Modeled Wave Dissipation
Strand, Kjersti Opstad; Breivik, Øyvind; Pedersen, Geir; Vikebø, Frode Bendiksen; Sundby, Svein; Christensen, Kai Håkon (Peer reviewed; Journal article, 2020)Air bubble penetration depths are investigated with a bottom‐mounted echosounder at a seabed observatory in northern Norway. We compare a 1‐year time series of observed bubble depth against modeled and estimated turbulent ... -
Underwater noise from wind at the high north LoVe ocean observatory
Ødegaard, Lars Alf; Pedersen, Geir; Johnsen, Espen (Peer reviewed; Journal article, 2019)The Lofoten-Vesterålen (LoVe) Cabled Ocean Observatory is located in an oceanographic, ecological, and economical hotspot off the Northern Norwegian cost. The observatory is a national research infrastructure under development ...