Abstract
Combined emission rate and chemical state optimization by fourdimensional variational data assimilation is presented. Using an adjoint nesting technique, a model setup focussing on the Berlin area is employed, enabling to analyze constituents with strong spatial gradients like NO and NO2. Possible requirements for satellite observations to be used for tropospheric chemical state estimation are shortly discussed.
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ELBERN, H., STRUNK, A. (2007). CHEMICAL WEATHER ANALYSIS OPTIMISATION WITH EMISSION IMPACT ESTIMATION USING NESTED FOUR-DIMENSIONAL VARIATIONAL CHEMISTRY DATA ASSIMILATION. In: Ebel, A., Davitashvili, T. (eds) Air, Water and Soil Quality Modelling for Risk and Impact Assessment. NATO Security Through Science Series. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5877-6_29
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DOI: https://doi.org/10.1007/978-1-4020-5877-6_29
Publisher Name: Springer, Dordrecht
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Online ISBN: 978-1-4020-5877-6
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