Artikler, kapitler og presentasjoner fra NORCE Energi og teknologi
Recent Submissions
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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 ... -
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 ... -
Legionella pneumophila in Municipal Shower Systems in Stavanger, Norway; A Longitudinal Surveillance Study Using Whole Genome Sequencing in Risk Management
(Peer reviewed; Journal article, 2022)Following an incidence of Legionnaires disease (LD) in 2007, where a municipal shower system was the likely source of infection, Stavanger municipality initiated a surveillance program for Legionella as part of establishing ... -
Hybrid Iterative Ensemble Smoother for History Matching of Hierarchical Models
(Peer reviewed; Journal article, 2022)The choice of a prior model can have a large impact on the ability to assimilate data. In standard applications of ensemble-based data assimilation, all realizations in the initial ensemble are generated from the same ... -
Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate)
(Peer reviewed; Journal article, 2022)Arctic rain on snow (ROS) deposits liquid water onto existing snowpacks. Upon refreezing, this can form icy crusts at the surface or within the snowpack. By altering radar backscatter and microwave emissivity, ROS over sea ... -
Virtual field trips utilizing virtual outcrop: construction, delivery and implications for the future
(Peer reviewed; Journal article, 2022)The advent of photorealistic, 3D computer models of cliff sections (virtual outcrops) has improved the immersive nature of virtual geological field trips. As the COVID-19 pandemic led to widespread national and international ... -
Pipe Viscometer for Continuous Viscosity and Density Measurement of Oil Well Barrier Materials
(Peer reviewed; Journal article, 2023)The barrier material is a crucial component for wells, as it provides mechanical support to the casing and prevents the uncontrolled flow of formation fluids, ensuring zonal isolation. One of the essential prerequisites ... -
Bayesian model evaluation for multiple scenarios
(Peer reviewed; Journal article, 2023)Traditional uncertainty analysis for subsurface models is typically based on a single dynamic model with a number of uncertain parameters. Improved and more robust forecasting can be obtained by combining several models ... -
Fuzzy Gain-Scheduling PID for UAV Position and Altitude Controllers
(Peer reviewed; Journal article, 2022)Unmanned aerial vehicle (UAV) applications have evolved to a wide range of fields in the last decade. One of the main challenges in autonomous tasks is the UAV stability during maneuvers. Thus, attitude and position control ... -
Post-Processing Air Temperature Weather Forecast Using Artificial Neural Networks with Measurements from Meteorological Stations
(Peer reviewed; Journal article, 2022)Human beings attempt to accurately predict the weather based on their knowledge of climate. The Norwegian Meteorological Institute is responsible for climate-related matters in Norway, and among its contributions is the ... -
Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC
(Peer reviewed; Journal article, 2023)Information about sea ice surface topography and related deformation is crucial for studies of sea ice mass balance, sea ice modeling, and ship navigation through the ice pack. The Ice, Cloud, and land Elevation Satellite-2 ...
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