Dr.in Vera Schemann
| Address | Pohligstr. 3, 50969 Köln |
|---|---|
| Room | 3.118 |
| Phone | +49 (0)221 470-6489 |
| Fax | +49 (0)221 470-5161 |
schemann meteo.uni-koeln.de |
Research interests
- Combining Observations and Models of atmospheric processes
- Evaluation challenges for a new generation of km-scale global models
- Mathematical modelling of clouds on all scales (from high-resolution large-eddy simulations up to global climate models)
- Influence of microphysical processes on the dynamic and organization of clouds
- Cloud parameterizations in global climate models
- Mathematical description of various processes in the atmosphere and their interaction
Projects
- C3SAR (DFG research unit Cloud Structure & Climate - Closing the 3D Gap) - Modelling cloud micro- and macrophysical properties and their radiative effects
- (AC)3: Arctic Amplification: Climate Relevant Atmospheric and Surface Processes and Feedback Mechanisms (DFG)
- WarmWorld: Exascale Earth System Models to anticipate changes in a Warmer World (BMBF)
- HALO-(AC)3 (HALO-SPP): Understanding clouds and precipitation at the sub kilometer scale using HALO and ICON - Air mass transformations in the Arctic (UCP-Arctic) (DFG)
Selected Publications
- Kiszler, T., Ebell, K., Schemann, V, A performance baseline for the representation of clouds and humidity in cloud-resolving ICON-LEM simulations in the Arctic, 2023: Journal of Advances in Modeling Earth Systems (JAMES), doi: 10.1029/2022MS003299
- Schemann, V., Ebell, K., Pospichal, B., Neggers, R., Moseley, C., and Stevens, B.: Linking large-eddy simulations to local cloud observations, 2020: Journal of Advances in Modeling Earth Systems (JAMES), doi:10.1029/2020MS002209
- Schemann, V. and Ebell, K., 2020: Simulation of mixed-phase clouds with the ICON large-eddy model in the complex Arctic environment around Ny-Ålesund, Atmos. Chem. Phys., 20, 475–485, doi:10.5194/acp-20-475-2020
- Ori, D., Schemann, V., Karrer, M., Neto, J. D., von Terzi, L., Seifert, A., and Kneifel, S., 2020: Evaluation of ice particle growth in ICON using statistics of multi-frequency Doppler cloud radar observations, QJR Meteorol Soc., doi: 10.1002/qj.3875
- Griewank, P. J., V. Schemann, and R. A. J. Neggers, 2018: Evaluating and Improving a PDF Cloud Scheme Using High-Resolution Super Large Domain Simulations, JAMES, doi:10.1029/2018MS001421
- Marke, T., M. Tuononen, J.H. Schwen, V. Schemann, and S. Crewell, 2018: Long-Term Observations and High-Resolution Modeling of Midlatitude Nocturnal Boundary Layer Processes Connected to Low-Level Jets, JAMC, doi:10.1175/JAMC-D-17-0341.1
- Schemann, V. and A. Seifert, 2017: A Budget Analysis of the Variances of Temperature and Moisture in Precipitating Shallow Cumulus Convection. Boundary-Layer Meteorol., doi:10.1007/s10546-016-0230-1
- Rauser, F., et. al. (incl. V. Schemann), 2017: Earth System Science Frontiers: An Early Career Perspective, Bulletin of the American Meteorological Society, 98, 1120-1127, doi:10.1175/BAMS-D-16-0025.1
- Rauser, F., V. Schemann, and S. Sonntag, 2015: Sustainable early-career networks, Nature Geoscience, 8, 745-746, doi:10.1038/ngeo2541
- Schemann, V., B. Stevens, V. Grützun, and J. Quaas, 2013: Scale Dependency of Total Water Variance and Its Implication for Cloud Parameterizations. J. Atmos. Sci., 70, 3615–3630. doi:10.1175/JAS-D-13-09.1
PhD Thesis 2013
Towards a scale aware cloud process parameterization for global climate models (Max Planck Institute for Meteorology, International Max Planck Research School for Earth System Modelling, University Hamburg)
Diplomarbeit (Masterthesis) 2009
Effiziente numerische Verfahren zur interpolationsbasierten Modellreduktion (Efficient numerical methods for model reduction based on interpolation) (University of Bremen)