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First 484 results for ” C Potma”

1. Independent evaluation of the ability of spaceborne radar and lidar to retrieve the microphysical and radiative properties of ice clouds

   The combination of radar and lidar in space offers the unique potential to retrieve vertical prof...

   RJ Hogan, DP Donovan, C Tinel, M Brooks, D Bouniol, AJ Illingworth | Status: published | Journal: J. Atm. Ocean. Tech. | Volume: 23 | Year: 2006 | First page: 517 | Last page: 523

   Publication

2. Comparison of model predicted low-level cloud parameters with satellite remote sensing observations during the BALTEX Bridge Campaigns

   A pressing task in numerical weather prediction and climate modelling is the evaluation of modell...

   M Schröder, NMN van Lipzig, F Ament, J-P Chaboureau, S Crewell, J Fischer, V Matthias, E van Meijgaard, A Walther, U Willén | Status: published | Journal: Atmospheric Research | Volume: 82 | Year: 2006 | First page: 83 | Last page: 101 | doi: doi:10.1016/j.atmosres.2005.12.005

   Publication

3. The Dutch Continental Shelf Model

   The topic of the paper is quantitative skill assessment in numerical flow modelling. Conceptual m...

   H Gerritsen, JW de Vries, M Philippart | Year: 1995

   Publication

4. Evaluation of the boundary layer dynamics of the TM5 model over Europe

   We evaluate the capability of the global atmospheric transport model TM5 to simulate the boundary...

   EN Koffi, P Bergamaschi, U Karstens, M Krol, A Segers, M Schmidt, I Levin, AT Vermeulen, RE Fischer, V Kazan, H Klein Baltink, D Lowry, G Manca, HA Meijer, J Moncrieff | Status: published | Journal: Geoscientific Model Development | Volume: 9 | Year: 2016 | First page: 3137 | Last page: 3160 | doi: 10.5194/gmd-9-3137-2016

   Publication

5. An empirical model for probabilistic decadal prediction: global attribution and regional hindcasts

   Empirical models, designed to predict surface variables over seasons to decades ahead, provide us...

   EB Suckling, GJ van Oldenborgh, JM Eden, E Hawkins | Status: published | Journal: Clim. Dyn. | Year: 2016 | doi: 10.1007/s00382-016-3255-8

   Publication