Home > Publications database > The sensitivity of Western European NO2 columns to interannual variability of meteorology and emissions: a model - GOME study > print

001     4843
005     20240709081729.0
024 7 _ |2 DOI
|a 10.1002/asl.193
024 7 _ |2 WOS
|a WOS:000263860800003
037 _ _ |a PreJuSER-4843
041 _ _ |a eng
082 _ _ |a 550
084 _ _ |2 WoS
|a Meteorology & Atmospheric Sciences
100 1 _ |0 P:(DE-HGF)0
|a Savage, N.H.
|b 0
245 _ _ |a The sensitivity of Western European NO2 columns to interannual variability of meteorology and emissions: a model - GOME study
260 _ _ |a Hoboken, NJ
|b Wiley Interscience
|c 2008
300 _ _ |a 182 - 188
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |0 20842
|a Atmospheric Science Letters
|v 9
|x 1530-261X
|y 4
500 _ _ |a We wish to acknowledge the following: EU for funding through RETRO ( Project No. EVK2-CT-2002-00170); NERC centers for Atmospheric Science for Supercomputing resources; Dr Mian Chin of NASA Goddard Space Flight Center for aerosol data and Oliver Wild for stimulating discussions.
520 _ _ |a Interannual variability (IAV) in tropospheric species concentrations can be driven by variability in emissions, chemistry, transport and UV radiation. In a 3D CTM study we have found good agreement between the IAV of NO2 columns observed by the GOME satellite instrument and model simulations over Western Europe from 1996 to 2000. We find that meteorological variability is an important factor during this period. Averaged 10 m wind speeds from the European Centre for Medium-Range Weather Forecasts (ECMWF) operational analysis are a good proxy for the overall meteorology driving the IAV during the studied period of 1996-2000. Copyright (c) 2008 Royal Meteorological Society
536 _ _ |0 G:(DE-Juel1)FUEK406
|2 G:(DE-HGF)
|a Atmosphäre und Klima
|c P22
|x 0
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a interannual variability
653 2 0 |2 Author
|a GOME
653 2 0 |2 Author
|a model
653 2 0 |2 Author
|a NO2
700 1 _ |0 P:(DE-HGF)0
|a Pyle, J.A.
|b 1
700 1 _ |0 P:(DE-HGF)0
|a Braesicke, P
|b 2
700 1 _ |0 P:(DE-HGF)0
|a Wittrock, F.
|b 3
700 1 _ |0 P:(DE-HGF)0
|a Richter, A.
|b 4
700 1 _ |0 P:(DE-HGF)0
|a Nüß, H.
|b 5
700 1 _ |0 P:(DE-HGF)0
|a Burrows, J.P.
|b 6
700 1 _ |0 P:(DE-Juel1)6952
|a Schultz, M. G.
|b 7
|u FZJ
700 1 _ |0 P:(DE-HGF)0
|a Pulles, T.
|b 8
700 1 _ |0 P:(DE-HGF)0
|a van het Bolscher, M.
|b 9
773 _ _ |0 PERI:(DE-600)2025884-7
|a 10.1002/asl.193
|g Vol. 9, p. 182 - 188
|p 182 - 188
|q 9<182 - 188
|t Atmospheric science letters
|v 9
|x 1530-261X
|y 2008
856 7 _ |u http://dx.doi.org/10.1002/asl.193
909 C O |o oai:juser.fz-juelich.de:4843
|p VDB
913 1 _ |0 G:(DE-Juel1)FUEK406
|a DE-HGF
|b Umwelt
|k P22
|l Atmosphäre und Klima
|v Atmosphäre und Klima
|x 0
|z fortgesetzt als P23
914 1 _ |y 2009
915 _ _ |0 StatID:(DE-HGF)0020
|a No peer review
920 1 _ |0 I:(DE-Juel1)VDB791
|d 30.09.2010
|g ICG
|k ICG-2
|l Troposphäre
|x 1
970 _ _ |a VDB:(DE-Juel1)112079
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)IEK-8-20101013
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)ICE-3-20101013
981 _ _ |a I:(DE-Juel1)IEK-8-20101013

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