A5030785500- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Atmospheric aerosols and clouds
- Meteorological Phenomena and Simulations
- Atmospheric and Environmental Gas Dynamics
- Wind and Air Flow Studies
- Vehicle emissions and performance
- Radioactive contamination and transfer
- Nuclear and radioactivity studies
- Solar Radiation and Photovoltaics
- Energy Load and Power Forecasting
- Electric Power System Optimization
- Oceanographic and Atmospheric Processes
- Atmospheric Ozone and Climate
- Wind Energy Research and Development
- Air Quality Monitoring and Forecasting
- Geophysics and Gravity Measurements
- Aeolian processes and effects
- Solar and Space Plasma Dynamics
- Urban Heat Island Mitigation
- Integrated Energy Systems Optimization
- Market Dynamics and Volatility
- Solar Thermal and Photovoltaic Systems
- Precipitation Measurement and Analysis
- Ocean Waves and Remote Sensing
Norwegian Meteorological Institute
1999-2025
Norwegian University of Life Sciences
2025
University of Oslo
2014
Kjeller Vindteknikk (Norway)
2005-2013
University of Bergen
1988-1993
This paper presents the implementation of a parameterization scheme for convective and stratiform condensation (with cloud water as prognostic variable) into fine mesh numerical weather prediction model. The results from 36 h integration model, with grid distance 50 km, indicate that new contributes to an improved forecast compared obtained by original Furthermore, qualitative comparison satellite pictures, it is found condensation-cloud parameters quite realistic.
Numerical transport models are important tools for nuclear emergency decision makers in that they rapidly provide early predictions of dispersion released radionuclides, which is key information to determine adequate protective measures. They can also help us understand and describe environmental processes give a comprehensive assessment transfer radionuclides the environment. Transport air ocean affected by number different physico-chemical processes. Along with uncertainty arising from...
In this paper, we present a multi-layer Eulerian model aiming at calculating the long-term source-receptor relationships of air pollutants European regional scale. As first approach, results from annual transport and deposition sulphur dioxide sulphate is given in study. The however formulated order to facilitate further studies other future. takes advantage new detailed information on meteorology emissions 50 km × resolution. terrain following coordinate system, higher numerical advection...
The in-cloud conversion of SO2 to sulphate is an important part the modelling sulphur dispersion. description this process requires a coupling meteorological processes in particular clouds and precipitation. In study, bulk wet scavenging coupled precipitation weather prediction model. Results are shown for summer, autumn winter episodes regional scale deposition over Scandinavia. We find that liquid-phase formation all cases comparable uptake through cloud condensation nuclei. Sub-cloud by...
We present a study of the impact initial concentrations on modeling photochemical oxidants. A simple model is employed, and an factor defined which describes ratio between concentration time‐dependent concentration. The calculations have been carried out with data from box comprehensive three‐dimensional (3‐D) model. Results are for three different sites in California San Joaquin Valley. By using chemical very active chemistry rather high obtained since no transport processes included. small...
Parametrisation of wet deposition radionuclides is considered a main contributor uncertainties in atmospheric dispersion models employed within nuclear emergency preparedness and risk management. In order to reduce these the current work aimed improve parametrisation Severe Nuclear Accident Programme (SNAP) model by implementing new codes for in-cloud below-cloud scavenging processes. The was validated comparing outputs with following observation data from areas affected Chernobyl accident:...
In the framework of European project CONFIDENCE, Work Package 1 (WP1) focused on uncertainties in pre- and early phase a radiological emergency, when environmental observations are not available assessment health impact accident largely relies atmospheric dispersion modelling. The latter is subject to large coming from, particular, meteorological release data. WP1, several case studies were identified, including hypothetical scenarios Europe Fukushima accident, for which participants...
Atmospheric dispersion models are crucial for nuclear risk assessment and emergency response systems since they rapidly predict air concentrations deposition of released radionuclides, providing a basis dose estimations countermeasure strategies. associated with relatively large often unknown uncertainties that mostly attributed to meteorology, source terms parametrisation the model. By developing methods can provide reliable uncertainty ranges model outputs, decision makers have an improved...
Parameterization of dry deposition is key for modelling atmospheric transport and radioactive particles. Still, very simple parameterizations are often encountered in preparedness models such as the SNAP model (SNAP=Severe Nuclear Accident Program) Norwegian Meteorological Institute. In a constant velocity (=0.2 cm/s) neglecting aerodynamic surface resistances, presently used. Therefore, two new depositions schemes (the Emerson scheme EMEP (European Monitoring Evaluation Programme) scheme)...
Experience from earlier nuclear accidents has clearly shown the need for maintaining and developing appropriate modelling capabilities. Dealing with complex issues such as human exposure following a accident necessitates implementation of set interconnected models FDMT. FDMT is an integrated module within two main European decision support systems radiological emergency preparedness, ARGOS JRODOS, to simulate transfer radionuclides along terrestrial food chains predict their activity...
Short-term predictions for dispersion of radionuclides in the atmosphere following releases from nuclear incidents are associated with uncertainties originating meteorology, source term and parameterization. Characterization these is key importance preparedness, decision making during an accident further uncertainty propagation subsequent modelling human ecosystem exposures. Increased traffic nuclear-propulsion vessels Norwegian territorial waters gives rise to growing concern a potential...
Abstract The prediction errors of WAsP are analysed by use five 50 m measuring masts and the differences in RIX‐values a mountainous site wind energy development at Norwegian coast. range from 13% to 18% thus terrain is quite complex. High correlation (0.96) found between error RIX‐values. inclusion coastal background station contributes strongly this correlation. Predictions 10%–15% based on site. One should therefore be careful applying meteorological stations resource assessment...