The chemistry transport model system EURAD-IM and its variational data assimilation module are applied to assess air quality conditions during the measurement campaign VERTIKO. The inverse modelling system has been designed to run in a nested setup, assimilating in-situ observations and measurements by remote sensing. The benefits of joint initial value and emission rate optimisation are emphasised, significantly enhancing analysis skill for air quality related constituents including ammonia and benzene
Atmospheric chemistry dynamics is studied with convection-diffusion-reaction model. The numerical Da...
Chemical data assimilation is the process by which models use measurements to produce an optimal rep...
This work has led to the development of a three-dimensional chemistry-transport model Polair3D which...
In recent years high resolution data have become available due to the deployment of satellite born i...
A novel stratospheric chemical data assimilation system has been developed and applied to Environmen...
Advanced data assimilation can be applied to retrieve as much information as possible from photooxid...
Abstract. This study aims to assess the potential and limits of an advanced inversion method to esti...
The use of models to analyse the complex atmospheric processes deals with a lot of uncertainties of ...
This study aims to assess the potential and limits of an advanced inversion method to estimate pollu...
The University of Cologne chemistry transport model EURAD and its four-dimensional variational data ...
A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...
International audienceOzone measurements by various platforms during the International Consortium fo...
A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...
A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...
Within the EU-funded GEMS project (Global Earth-system Modelling using Satellite and in-situ data) t...
Atmospheric chemistry dynamics is studied with convection-diffusion-reaction model. The numerical Da...
Chemical data assimilation is the process by which models use measurements to produce an optimal rep...
This work has led to the development of a three-dimensional chemistry-transport model Polair3D which...
In recent years high resolution data have become available due to the deployment of satellite born i...
A novel stratospheric chemical data assimilation system has been developed and applied to Environmen...
Advanced data assimilation can be applied to retrieve as much information as possible from photooxid...
Abstract. This study aims to assess the potential and limits of an advanced inversion method to esti...
The use of models to analyse the complex atmospheric processes deals with a lot of uncertainties of ...
This study aims to assess the potential and limits of an advanced inversion method to estimate pollu...
The University of Cologne chemistry transport model EURAD and its four-dimensional variational data ...
A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...
International audienceOzone measurements by various platforms during the International Consortium fo...
A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...
A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheri...
Within the EU-funded GEMS project (Global Earth-system Modelling using Satellite and in-situ data) t...
Atmospheric chemistry dynamics is studied with convection-diffusion-reaction model. The numerical Da...
Chemical data assimilation is the process by which models use measurements to produce an optimal rep...
This work has led to the development of a three-dimensional chemistry-transport model Polair3D which...