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Output from all model simulations is available on request from the corresponding author (R.H.).
Ensuring that base case conditions are adequately represented through the combined use of observations and model simulations is shown to result in improved estimates of future air quality under changing emissions and meteorological conditions.
A suite of historical atmospheric model simulations is described that uses a hierarchy of global boundary forcings designed to inform research on the detection and attribution of weather and climate-related extremes.
Principal conclusions of this paper are that the integrated system provides reliable ensemble inflow volume forecasts for the majority of the deciles of forecast frequency, and that the use of climate model simulations is beneficial mainly during high flow periods.
Correction to the drag law that should be employed in Coarse Multi-Phase Particle-in-Cell (MP-PIC) model simulations is examined through a two-step process: separating the coarsening of the fluid and particle phases.
Similar to past studies it was found that WRF model precipitation forecast errors related to model initial conditions are reduced when the three dimensional atmospheric data assimilation (3DVAR) scheme in the WRF model simulations is used.
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Data from our model simulations are available upon request.
The observed rainfall and two examples of model simulations are shown in Fig. 1a.
We employed the following approach: more than 100 000 model simulations were run in the absence of vaccination or screening.
MATLAB code for reproducing the main figures, statistical analyses and model simulations are freely available at: http://github.com/marionrouault/RouaultDayanFleming.
Two MCM box model simulations were run to test the importance of photo-tautomerization in clean and polluted regions of the atmosphere.
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