Atmospheric dispersion
EPISODE
EPISODE is a city-scale 3D-grid Eulerian numerical model with embedded sub-grid gaussian plume and parameterized models for the estimation of refined point ambient concentrations.
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We present both models that have been fully or to a large extent developed at NILU and modelling systems that were developed elsewhere but are under heavy use at our institute.
All models
01
Transport, transformation, and the movement of pollutants through the atmosphere.
Atmospheric dispersion
EPISODE is a city-scale 3D-grid Eulerian numerical model with embedded sub-grid gaussian plume and parameterized models for the estimation of refined point ambient concentrations.
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We developed a special version of the EPISODE model which allows for the simulation of reactive plumes by using a Lagrangian (FLEXPART based) module for the reactive plume dispersion.
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FLEXPART is a model for atmospheric transport representing the Lagrangian trajectories of a large number of particles in the atmosphere.
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This is a FLEXPART model version tailored to use with the meteorological output data generated by the Norwegian Earth System Model (NorESM1-M).
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FLEXPART-WRF is a FLEXPART version that works with the Weather Research and Forecasting (WRF) mesoscale meteorological model.
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The PALM model system 6.0. PALM (formerly an abbreviation for Parallelized Large-eddy Simulation Model and now an independent name) is a Fortran-based code applied for studying atmospheric and oceanic boundary layers.
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The EMEP MSC-W model is a state-of-the-art chemical transport model (CTM) that is widely used for air quality and PM assessments.
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Tools for mapping and estimating the sources of atmospheric pollutants.
Emission
The MetVed-model provides air pollutant and greenhouse gas emissions from residential wood burning at high-resolution.
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The NERVE model («Norwegian Emissions from Road Vehicle Exchaust») provides greenhouse gas and air pollutant emissions from road traffic.
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Meteorology, observation, and high-resolution air-quality modelling systems.
Other
The AirGAM model is an air quality trend and prediction model developed in EEA projects over the years 2017-2021.
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Clustering is a powerful analytical technique that has long been used across various fields to unlock insights from data by organising it into meaningful groups or clusters.
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S-MESH (Satellite and ML-based Estimation of Surface air quality at High resolution) is a flexible framework that combines satellite observations with machine learning to estimate surface air quality across Europe.
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WRF (Weather Research and Forecasting) model is an open source meteorological model developed at NCAR.
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