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First 1200 results for ” C Schar”

1. Comparison of model predicted low-level cloud parameters with observations from the BALTEX Bridge Campaigns

   The BALTEX Bridge Campaigns (BBC), which were held in the Netherlands in 2001 and 2003 around the...

   NMN van Lipzig, M Schröder, S Crewell, F Ament, J-P Chaboureau, U Löhnert, V Matthias, E van Meijgaard, M Quante, U Willén, W Yen | Status: published | Journal: Atmospheric Research | Volume: 82 | Year: 2006 | First page: 55 | Last page: 82 | doi: doi:10.1016/j.atmosres.2006.01.010

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2. SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0

   In this paper, we present the implementation and evaluation of the aerosol microphysics module SA...

   H Kokkola, T Kuhn, A Laakso, TR Bergman, KEJ Lehtinen, T Mielonen, A Arola, S Stadtler, H Korhonen, S Ferrachat, U Lohmann, D Neubauer, I Tegen, C Siegenthaler-Le Drian, MGM Schultz, I Bey, P Stier, N Daskalakis, C Heald, S Romakkaniemi | Status: published | Journal: Geoscientific Model Development | Volume: 2018 | Year: 2018 | First page: 3833 | Last page: 3863 | doi: 10.5194/gmd-11-3833-2018

   Publication

3. Algorithm and Software for the Retrieval of Vertical Aerosol Properties using combined Lidar/Radiometer Data: Dissemination in EARLINET

   Ten combined lidar and sun-radiometer stations in the European Aerosol Research Lidar Network (EA...

   A Chaikovski, O Dubovik, G Pappalardo, U Wandinger, A Apituley, L Alados Arbroledas, A Pappayannis, A Pietruczuk | Conference: 26th International Laser Radar Conference | Place: Porto Heli, Greece | Year: 2012 | First page: 339 | Last page: 402

   Publication

4. Estimation of the lifetime of nitrogen oxides over India using SCIAMACHY observations

   The NOx lifetime is needed to determine NOx source strength and allow for source apportionment st...

   CK Jena, SD Ghude, N Blond, G Beig, DM Chate, S Fadnavis, RJ van der A | Status: published | Journal: Int. J. of Remote Sens. | Volume: 35 | Year: 2014 | First page: 1244 | Last page: 1252 | doi: 10.1080/01431161.2013.873146

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5. Crowdsourcing for climate and atmospheric sciences: current status and future potential

   Crowdsourcing is traditionally defined as obtaining data or information by enlisting the services...

   CL Muller, L Chapman, S Johnston, C Kidd, S Illingworth, G Foody, A Overeem, RR Leigh | Status: published | Journal: Int. J. Climatology | Volume: 35 | Year: 2015 | First page: 3185 | Last page: 3203 | doi: 10.1002/joc.4210

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