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Impact of mass consistency errors for atmospheric dispersion
Institution:1. Department of Earth and Planetary Science, University of California, Berkeley, CA 94720, USA;2. Department of Astronomy, University of California, Berkeley, CA 94720, USA;3. Department of Mechanical Engineering, University of California, Berkeley, CA 94720, USA;4. Department of Astrophysics, American Museum of Natural History, 79th Street at Central Park West, New York, NY 10024, USA;5. Space Science and Engineering Center, University of Wisconsin, Madison, WI 53706, USA;6. Department of Physics and Astronomy, University of Leicester, University Road, Leicester LE1 7RH, UK;1. Key Laboratory of Mesoscale Severe Weather (Ministry of Education), School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China;2. PLA University of Science and Technology, Nanjing 210000, China
Abstract:Atmospheric dispersion models are usually off-line coupled to mesoscale meteorological models. This may generate the loss of mass consistency, defined as the conservation of uniform mixing ratio. We investigate in this short paper the impact of the resulting mass consistency errors. Three methods based on the renormalization of density, on fluxes computed with mass mixing ratio and on the adjustment of the vertical velocity, respectively, are aimed at reducing the mass consistency errors. They are benchmarked and applied to two test cases: air quality modeling over Europe for summer 2001 (typical of reactive dispersion) and simulation of the Chernobyl accident (typical of passive dispersion). Our tests indicate the differences between the passive and the reactive cases. The investigation of the spatial patterns (especially of the vertical distribution) discriminates the method based on the adjustment of the vertical velocity. Indeed, this method suffers from the enhancement of the numerical diffusion (illustrated in the passive case) and from the modification of the escape flux (for ozone).
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