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000136133 0247_ $$2ISSN$$a0944-2952
000136133 0247_ $$2Handle$$a2128/3609
000136133 037__ $$aPreJuSER-136133
000136133 041__ $$aGerman
000136133 084_0 $$aUMD - Atmospheric models
000136133 084_0 $$2ZB$$aUMB - Atmospheric chemistry
000136133 0881_ $$aJuel-2951
000136133 088__ $$2JUEL$$aJuel-2951
000136133 1001_ $$0P:(DE-Juel1)16311$$aPoppe, Dirk$$b0$$ufzj
000136133 245__ $$aA comparison of measured OH concentrations with model calculations
000136133 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c1994
000136133 300__ $$a44 S.
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000136133 4900_ $$0PERI:(DE-600)2414853-2$$aBerichte des Forschungszentrums Jülich$$v2951
000136133 500__ $$aRecord converted from JUWEL: 18.07.2013
000136133 520__ $$aThe influence of chemical precursors and sunlight on the atmospheric OH abundance is investigated by a comparison of locally measured tropospheric OH concentration with model calculations. The latter are based on the gas phase reaction mechanism of the Regional Acid Deposition Model (RADM2) which incorporates an explicit inorganic and a comprehensive organic chemistry. The experimental data were obtained in the planetary boundary layer during two sets of campaigns. In Deuselbach (1983) and Schauinsland (1984) rural conditions were encountered with NO, concentrations on the average of 2.2 ppb and 0.9 ppb, respectively. This data set was already compared with model calculations based upon an older and less detailed chemical reaction scheme (Pemer et al., 1987). Since then the experimental data were reanalysed leading to modified measured OH concentrations and also to modified precursor concentrations. For a consistent comparison with the more recent campaigns in JOlich (1987 and 1988) we have redone the calculations. The modeled and measured OH-concentrations of the campaigns in 1983 and 1984 correlate well with a coefficient of correlation of r = 0.73. The model overpredicts OH by about 20%. Under more polluted conditions in JOlich with average NO, concentrations of 4 ppb the correlation coefficient between experimental and modeled data are significantly smaller (r = 0.61). Possible reasons are the influence of not measured precursors, for example isoprene, and the inapplicability of a quasi steady state model under the spatially inhomogeneous conditions in JOlich. Again the model overpredicts the OH concentration by about 15%, which is somewhat smaller than for the rural case. The precision of the comparison is limited by the uncertainties of the chemical reaction rate constants.
000136133 540__ $$aNeither this book nor any part of it may be reproduced or transmitted in any form or by any  means, electronic or mechanical, including photocopying, microfilming, and recording, or by any information storage and retrieval  system, without permission in writing from the publisher.
000136133 653__ $$achemical reaction scheme : atmospheric OH chemistry
000136133 650_4 $$aatmospheric calculation
000136133 650_4 $$aatmospheric chemistry
000136133 650_4 $$aatmospheric exchange process
000136133 650_4 $$aatmospheric gas
000136133 650_4 $$aatmospheric model
000136133 650_4 $$aatmospheric monitoring
000136133 7001_ $$0P:(DE-Juel1)VDB1843$$aZimmermann, Joerg$$b1$$ufzj
000136133 7001_ $$0P:(DE-Juel1)139077$$aBauer, Reimar$$b2$$ufzj
000136133 7102_ $$aInstitut für Atmosphärische Chemie (Jülich, 3) - ICG3
000136133 8564_ $$uhttps://juser.fz-juelich.de/record/136133/files/Juel_2951_Poppe.pdf$$yOpenAccess
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000136133 970__ $$a2128/3609
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