NORCE Energi og teknologi
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X/L-band SAR on Lufttransport’s Dornier DO-228 (LN-LYR)
(Research report, 2022)Current climate changes as well as an increased marine activity in the arctic regions impose a growing need for improved scientific observations and increased situational awareness. This document describes mission requirements ... -
InSAR Svalbard – User requirements, technical considerations, and product development plan
(Research report, 2024)The InSAR Svalbard development project (2023–2025) is a partnership between the Geological Survey of Norway (NGU) and NORCE Norwegian Research Centre AS, with funding from the Norwegian Space Agency (Post 74, contract ... -
Machine learning reveals regime shifts in future ocean carbon dioxide fluxes inter-annual variability
(Peer reviewed; Journal article, 2024)The inter-annual variability of global ocean air-sea CO2 fluxes are non-negligible, modulates the global warming signal, and yet it is poorly represented in Earth System Models (ESMs). ESMs are highly sophisticated and ... -
Quantifying prior model complexity for subsurface reservoir models
(Peer reviewed; Journal article, 2023)In Bayesian approaches to history matching for subsurface inference, the prior model specifies the uncertain model parameters and the joint probability of those parameters before incorporating production-related data. A ... -
The dissolution of a miscible drop rising or falling in another liquid at low Reynolds number
(Peer reviewed; Journal article, 2023)“A basic and basically unsolved problem in fluid dynamics is to determine the evolution of rising bubbles and falling drops of one miscible liquid in another” [D. D. Joseph and Y. Y. Renardy, Fundamentals of Two-Fluid ... -
Tectonic-magmatic-hydrothermal interactions in a hot dry rock geothermal system: The role of the transfer and normal faults in the Acoculco caldera (Mexico)
(Peer reviewed; Journal article, 2023)In the Acoculco caldera (hot dry rock system) two geothermal boreholes were planned to intersect fracture systems in the carbonate basement. Even though the caldera is located in an area of active deformation with high ... -
Combining direct and indirect sparse data for learning generalizable turbulence models
(Peer reviewed; Journal article, 2023)Learning turbulence models from observation data is of significant interest in discovering a unified model for a broad range of practical flow applications. Either the direct observation of Reynolds stress or the indirect ... -
Arctic sea ice mass balance in a new coupled ice–ocean model using a brittle rheology framework
(Peer reviewed; Journal article, 2023)Sea ice is a key component of the Earth's climate system as it modulates the energy exchanges and associated feedback processes at the air–sea interface in polar regions. These exchanges have been suggested to strongly ... -
Limits of 3D target detectability of logging while drilling deep-sensing electromagnetic measurements from numerical modeling
(Peer reviewed; Journal article, 2023)Subsurface energy resources are often found in three-dimensional and non-spatially continuous rock formations that exhibit electrical anisotropy. Deep-sensing tri-axial borehole electromagnetic measurements are currently ... -
Learning from weather and climate science to prepare for a future pandemic
(Peer reviewed; Journal article, 2023)Established pandemic models have yielded mixed results to track and forecast the SARS-CoV-2 pandemic. To prepare for future outbreaks, the disease-modeling community can improve their modeling capabilities by learning from ... -
Controlled Interactivity - lean-back media experiences based on lean-forward technologies
(Lecture, 2023)Interactive rendering technologies like maps, timelines, and plots can be powerful tools for data visualization and exploration. In the context of media, such tools are often referred to as lean-forward, implying that the ... -
Perfusion estimation using synthetic MRI-based measurements and a porous media flow model
(Peer reviewed; Journal article, 2023)The measurement of perfusion and filtration of blood in biological tissue give rise to important clinical parameters used in diagnosis, follow-up, and therapy. In this paper, we address techniques for perfusion analysis ... -
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering
(Peer reviewed; Journal article, 2023)The Ensemble Kalman Filters (EnKF) employ a Monte-Carlo approach to represent covariance information, and are affected by sampling errors in operational settings where the number of model realizations is much smaller than ... -
Marginalized iterative ensemble smoothers for data assimilation
(Journal article; Peer reviewed, 2023)Data assimilation is an important tool in many geophysical applications. One of many key elements of data assimilation algorithms is the measurement error that determines the weighting of the data in the cost function to ... -
Treavfall på Agder
(Research report, 2022)Mengden treavfall på Agder er kartlagt basert på Statistisk sentralbyrås sektorinndeling. Denne består av husholdningene, byggeaktivitet, industrien og de tjenesteytende næringene. Det er tildels store usikkerheter i ... -
Sidestrømmer i trevareindustrien
(Research report, 2023)Utnyttelsen av sidestrømmer blant medlemsbedriftene til Tre på Agder er kartlagt ved hjelp av en spørreundersøkelse. Materialrester og avkapp går i dag hovedsakelig til forbrenning. Kvalitet trekkes fram som en viktig grunn ... -
Differences in Direct Geothermal Energy Utilization for Heating and Cooling in Central and Northern European Countries
(Peer reviewed; Journal article, 2023)Geothermal energy has emerged as an alternative heating source that can replace fossil energy. This mature technology is already in use all over Europe, but there are significant differences in its use between European ... -
Simulating offshore hydrogen production via PEM electrolysis using real power production data from a 2.3 MW floating offshore wind turbine
(Peer reviewed; Journal article, 2023)This work presents simulation results from a system where offshore wind power is used to produce hydrogen via electrolysis. Real-world data from a 2.3 MW floating offshore wind turbine and electricity price data from Nord ... -
Sea ice surface temperatures from helicopter-borne thermal infrared imaging during the MOSAiC expedition
(Peer reviewed; Journal article, 2022)The sea ice surface temperature is important to understand the Arctic winter heat budget. We conducted 35 helicopter flights with an infrared camera in winter 2019/2020 during the Multidisciplinary Drifting Observatory for ... -
Randomized maximum likelihood based posterior sampling
(Peer reviewed; Journal article, 2021)Minimization of a stochastic cost function is commonly used for approximate sampling in high-dimensional Bayesian inverse problems with Gaussian prior distributions and multimodal posterior distributions. The density of ...
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