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000017058 084__ $$2WoS$$aEnvironmental Sciences
000017058 1001_ $$0P:(DE-Juel1)VDB88443$$aStrunk, A.$$b0$$uFZJ
000017058 245__ $$aA nested application of four-dimensional variational assimilation of tropospheric chemical data
000017058 260__ $$aGenève$$bInderscience Enterprises Ltd.$$c2011
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000017058 440_0 $$024925$$aInternational Journal of Environment and Pollution$$v46$$y1
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000017058 500__ $$aThe authors are very grateful for fruitful discussions with Michael Memmesheimer, Elmar Friese and Jorg Schwinger. The measurement data has been provided by the VERTIKO campaign consortium, the European Environment Agency and Anton Kaifel from the Centre for Solar Energy and Hydrogen Research, to which we owe a note of gratitude. Computations have been conducted at Julich Supercomputing Centre, Forschungszentrum Julich. This work has been funded under FKZ 07ATF03 by the German Federal Ministry of Education and Research. Achim Strunk is grateful for funding by the European Space Agency through the project PROMOTE.
000017058 520__ $$aThe chemistry transport model system EURAD-IM and its variational data assimilation module are applied to assess air quality conditions during the measurement campaign VERTIKO. The inverse modelling system has been designed to run in a nested setup, assimilating in-situ observations and measurements by remote sensing. The benefits of joint initial value and emission rate optimisation are emphasised, significantly enhancing analysis skill for air quality related constituents including ammonia and benzene.
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000017058 65320 $$2Author$$avariational data assimilation
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000017058 7001_ $$0P:(DE-HGF)0$$aEbel, A.$$b1
000017058 7001_ $$0P:(DE-Juel1)129194$$aElbern, H.$$b2$$uFZJ
000017058 773__ $$0PERI:(DE-600)2048006-4$$a10.1504/IJEP.2011.042607$$gVol. 46$$q46$$tInternational journal of environment and pollution$$v46$$x0957-4352$$y2011
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