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Helge Avlesens bilde

Helge Avlesen

Gjesteforsker
  • E-posthelge.avlesen@uib.no
  • Besøksadresse
    Allégaten 70
    5007 Bergen
  • Postadresse
    Postboks 7803
    5020 Bergen

Jobber stort sett på prosjekt med, og utvikling av havmodellen Bergen Ocean Model (BOM): http://org.uib.no/bom/

Eksempler på anvendelser er spredning av forurensning som feks mikroplast i fjordene rundt Bergen, transport av CO2 som er oppløst i vann i nordsjøen. 

Vitenskapelig artikkel
  • Vis forfatter(e) (2022). Topographic effects on buoyancy driven flows along the slope. Environmental Fluid Mechanics. 1-20.
  • Vis forfatter(e) (2022). Assuring the integrity of offshore carbon dioxide storage. Renewable & Sustainable Energy Reviews. 9 sider.
  • Vis forfatter(e) (2020). Impact and detectability of hypothetical CCS offshore seep scenarios as an aid to storage assurance and risk assessment. International Journal of Greenhouse Gas Control.
  • Vis forfatter(e) (2019). The role of eddies on pathways, transports, and entrainment in dense water flows along a slope. Ocean Dynamics. 841-860.
  • Vis forfatter(e) (2018). Effects of the bottom boundary condition in numerical investigations of dense water cascading on a slope. Ocean Dynamics. 553-573.
  • Vis forfatter(e) (2017). Using Bayes theorem to quantify and reduce uncertainties when monitoring varying marine environments for indications of a leak. Energy Procedia. 3607-3612.
  • Vis forfatter(e) (2016). Simulating spatial and temporal varying CO2 signals fromsources at the seafloor to help designing risk-basedmonitoring programs. Journal of Geophysical Research (JGR): Oceans. 745-757.
  • Vis forfatter(e) (2016). Gravity currents down canyons: effects of rotation. Ocean Dynamics. 1353-1378.
  • Vis forfatter(e) (2015). Layout of CCS monitoring infrastructure with highest probability of detecting a footprint of a CO2 leak in a varying marine environment. International Journal of Greenhouse Gas Control. 274-279.
  • Vis forfatter(e) (2015). Internal pressure gradient errors in σ-coordinate ocean models in high resolution fjord studies. Ocean Modelling. 42-55.
  • Vis forfatter(e) (2012). Stratified flow over complex topography: A model study of the bottom drag and associated mixing. Continental Shelf Research. 41-52.
Rapport
  • Vis forfatter(e) (2019). Underpinning data for monitoring activities (including current statistics and carbon tracer quantifications). .
  • Vis forfatter(e) (2019). Strøm- og temperaturforhold i Evangervatnet under smoltutgangen i 2018. 330. 330. .
  • Vis forfatter(e) (2019). Modelling of extreme currents along the planned bridge in Bjørnafjorden. Part II: the importance of mixing schemes . .
  • Vis forfatter(e) (2018). Modelling of extreme currents along the planned bridge in Bjørnafjorden. .
  • Vis forfatter(e) (2014). Technical report on environmental conditions and possible leak scenarios in the North Sea. .
  • Vis forfatter(e) (2013). Technical report on verified and validated application of droplet/bubble plume-, geochemical- and general flow- models. .
  • Vis forfatter(e) (2012). Numerisk simulering av strøm i Sørfjorden. 29. 29. .
  • Vis forfatter(e) (2011). Tracking of passive, neutrally buoyant particles using the Bergen Ocean Model. 27. 27. .
  • Vis forfatter(e) (1998). A study of two new splitting methods for the gravity part of the shallow water equations. 145. 145. .
  • Vis forfatter(e) (1998). A convergence study of two prognostic, sigma coordinate ocean models on a density driven flow in a quadratic basin. 157. 157. .
  • Vis forfatter(e) (1998). A convergence study of two prognostic, sigma coordinate ocean models on a dencity driven flow in a quadratic basin. No. 157. No. 157. .
Faglig foredrag
  • Vis forfatter(e) (2018). Effekten av Evanger kraftverk på strømforholda i Evangervatnet under smoltutgangen 2018 – målingar og modeller.
Vitenskapelig foredrag
  • Vis forfatter(e) (2022). Modelling the fate of sinking microplastics in an urban fjord in western Norway .
  • Vis forfatter(e) (2018). Machine Learning in CO2 leak detection.
  • Vis forfatter(e) (2018). Ensuring efficient and robust offshore storage – the role of marine system modelling.
  • Vis forfatter(e) (2018). Combining Models and Machine Learning Techniques to Design Leak Detection Monitoring .
  • Vis forfatter(e) (2018). Combining Environmental Statistics and Marine Process Modelling to Design Monitoring Programs for Offshore CO2 Storage.
  • Vis forfatter(e) (2017). The role of Ekman drainage in numerical investigations of dense water cascading on a slope: Sensitivity to vertical resolution and bottom boundary condition.
  • Vis forfatter(e) (2013). Spatial footprint of a leak.
Doktorgradsavhandling
  • Vis forfatter(e) (2000). On the choice of numerical algorithms for ocean modeling.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Vis forfatter(e) (2017). Numerical investigations of dense water cascading on a slope - the role of the bottom boundary layer. 13 sider.
Poster
  • Vis forfatter(e) (2019). Ensuring efficient and robust carbon storage: marine modelling for environmental monitoring.
  • Vis forfatter(e) (2018). Model Reduction for Tracer Transport and Applications.
  • Vis forfatter(e) (2018). Mathematical methods for detection and localization of CO2 leaks.
  • Vis forfatter(e) (2017). Bayes’ theorem as the fundament to design monitoring programs.
  • Vis forfatter(e) (2017). Assessment of machine learning methods as a tool in detecting leakages.
  • Vis forfatter(e) (2017). Assessment of Topological Data Analysis and Machine Learning Technologies as Tools for Seep Detection.
  • Vis forfatter(e) (2016). Using Bayes Theorem to Quantify and Reduce Uncertainties when Monitoring Varying Marine Environments for Indications of a Leak.
  • Vis forfatter(e) (2016). Bayes’ theorem as the fundament to design monitoring programs.

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