Head, Data assimilation research group, Rhenish
Institute of Environmental Research at the University of
Aachener Strasse 209
D-50931, Köln, Germany
221 400 2220
Fax: +49 221 400 2320
Main research areas include data assimilation and inverse problems
in atmospheric chemistry and meteorology with a focus on
four-dimensional variational techniques and novel non-Gaussian error
Target areas for chemistry assimilation
include the stratosphere (globally) and the troposphere (continental
domain) with both gas phase and aerosol phase chemistry.
Assimilated data include in situ and remote sensing data in the
realm of atmospheric chemistry.
Meteorological data assimilation
activities include assimilation of radar data for quantitative
precipitation forecasts with special attention to prevailing non-Gaussian
error characteristics, and soil data assimilation.
include the development of algorithms for targeted chemical observations,
and also data assimilation of both atmospheric dynamical and chemical
variables on planet Mars.
Previous activities include parallel
computing with dynamical load balancing and numerical solution of
atmospheric transport- diffusions- reaction equations, and dynamics of
stratospheric-tropospheric exchange processes.
Lectures on :
- Data assimilation and inverse modeling;
- Climate modeling;
- Scientific computing for meteorologists and
Supervision of PhD theses and Diploma/Master theses:
permanent acivity: presently 5 internal PhD students and 1 external PhD
student under supervision as principal supervisor.
Students are members
of my data assimilation research group.
Envisat Data Assimilation summer school, ESA/ESRIN, Frascati, Rome,
(Italy) 18-29 August 2003
||Ongoing review activities for the German Science
foundation (DFG) and other national science foundations (including US NSF
CMG competition (collaboration between mathematical sciences and
geosciences) and Focused Research Group (FRG) activity.|
the German Meteorological Society.
Member of AGU.
reviewer of JGR.
||Lawrence, M.G., O. Hov, M. Beekman, J. Brandt, H.
Elbern, H. Eskes, H. Feichter, and M. Takigawa, The Chemical Weather,
Environmental Chemistry, 2, 1--3, doi:10.1071/EN05014, 2005.|
A., T. Davitashvili, H. Elbern, D. Gordeziani, H.J. Jakobs, M.
Memmesheimer, and I. Tavkhelidze;Numerical modelling of air pollution on
regional and local scales, Appl. Math. Inform. and Mech., 9, 1-14,
M. G. Lawrence, P. J. Rasch, R. von Kuhlmann, J. Williams, H.
Fischer, M. de Reus, J. Lelieveld, P. J. Crutzen, M. Schultz, P. Stier, H.
Huntrieser, J. Heland, A. Stohl, C. Forster, H. Elbern, H. Jakobs, and R.
R. Dickerson Global chemical weather forecasts for field campaign
planning: predictions and observations of large-scale features during
MINOS, CONTRACE, and INDOEX Atmospheric Chemistry and Physics (ACP) MS-NR:
Elbern, H.; Schmidt, H. (2001): Ozone episode analysis
by four-dimensional variational chemistry data assimilation. J. Geophys.
Res., 106, D4, 3569-3590.
Elbern, H.; Schmidt, H.; Talagrand, O.;
Ebel, A. (2000): 4D-variational data assimilation with an adjoint air
quality model for emission analysis. Environ. Mod. Softw., 15,
Elbern, H.; Schmidt, H. (1999): A four--dimensional
variational chemistry data assimilation scheme for Eulerian chemistry
transport modeling. J. Geophys. Res., 104, 18 583--18 598.
H.; Schmidt, H.; Ebel, A. (1997): Variational data assimilation for
tropospheric chemistry modeling. J. Geophys. Res. 10, D13,
Elbern, H., H. Schmidt, A. Ebel, 1999,
Implementation of a parallel 4D-variational Data Assimilation
scheme Environ. Manag. Health, 10, 236--244.
Hoelzemann, J., H.
Elbern, and A. Ebel, PSAS and 4D--var data assimilation for chemical state
analysis by urban and rural observation sites, Phys. and Chem. of
the Earth, 26, 807-812,