A parameterization for sub-grid emission variability

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Presentation transcript:

A parameterization for sub-grid emission variability S. Galmarini1, J.-F. Vinuesa1 and A. Martilli2 1EC-DG-Joint Research Center, Italy 2CIEMAT, Spain Stefano Galmarini, DG-Joint Research Center, IES

Stefano Galmarini, DG-Joint Research Center, IES

Stefano Galmarini, DG-Joint Research Center, IES

E Stefano Galmarini, DG-Joint Research Center, IES

Stefano Galmarini, DG-Joint Research Center, IES

sE E Stefano Galmarini, DG-Joint Research Center, IES

How to transfer source intensity variability to upper atmospheric layers? Turbulent motions are responsible for creating and generating scalars concentration variance In RANS scalar variance is accounted for by means of the variance conservation equations The source variability at the surface can be though as a boundary condition of scalar variance equation that will take care of describing its transport in x, y and z, creation and dissipation Stefano Galmarini, DG-Joint Research Center, IES

Formulation Stefano Galmarini, DG-Joint Research Center, IES

Equation closure Stefano Galmarini, DG-Joint Research Center, IES

Approach U=5m.s-1 Total duration LES=3hours The dynamic at the end of the first hour is used to fed FVM (u,v,w,theta). Then emission is released for 2 two hours. Statistics are done over the last hour. 10 Km 10 Km LES =100 x 100 grid cells, 100 m resolution Sv3=64% of 5x5km2 (LES-1) Sv4=36% of 5x5km2(LES-2) Sv5=25% of 5x5km2(LES-3) Sv6=16% of 5x5km2(LES-4) Release of=0.1 ppb.m.s-1 FVM= 2 x 2 grid cells, 5 km resolution Stefano Galmarini, DG-Joint Research Center, IES

Source size= 64% 5 km2 grid element Stefano Galmarini, DG-Joint Research Center, IES

Source size= 16% 5 km2 grid element Stefano Galmarini, DG-Joint Research Center, IES

Stefano Galmarini, DG-Joint Research Center, IES

Results: concentration variance B C D 16% surface emission 64% surface emission Stefano Galmarini, DG-Joint Research Center, IES

Virtual monitoring stations Stefano Galmarini, DG-Joint Research Center, IES

64% Stefano Galmarini, DG-Joint Research Center, IES

16% Stefano Galmarini, DG-Joint Research Center, IES

Conclusion A simple method to account for variability of emission Possibility to add error bars to model results Further steps: adding the information on the spatial variability Stefano Galmarini, DG-Joint Research Center, IES

Results: mean concentration B C D Stefano Galmarini, DG-Joint Research Center, IES

Stefano Galmarini, DG-Joint Research Center, IES

Stefano Galmarini, DG-Joint Research Center, IES

Stefano Galmarini, DG-Joint Research Center, IES

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