Harmonization of the aerosol models in remote sensing and global transport models for data assimilation from new generation of polarimetric measurements

New generation of the multi-angular polarimeters (3MI, PACE/SPEX and HARP2) will essentially improve the aerosol characterization from remote sensing measurements, providing extended set of the advanced optical and microphysical properties. This will open new possibility for aerosol composition assimilation.

Significant differences exist at present time between aerosol modelling methodologies employed in various remote sensing algorithms and global climate models. This complicates the aerosol data assimilations in reanalysis.  This gap also impacts remote sensing approaches, as global climate models provide global information about aerosol masses emissions, accounting for atmospheric states, aerosol sources, and sinks. Consequently, the aerosol information predicted or derived climatologically from global climate models, such as aerosol type and vertical profile, serves as valuable a priori information to constrain remote sensing measurements.

Directly applying the CAMS aerosol modelling approach to remote sensing introduces complexities in the forward model and significantly increases the number of retrieved parameters. However, achieving harmonization between aerosol approaches in global climate modelling and remote sensing holds the potential to enhance the accuracy of aerosol retrieval, as well provide new possibility for aerosol parameters assimilations.

Here we discuss feasibility studies on harmonization of aerosol model approaches in remote sensing and transport models. Different retrieval approaches harmonized with CAMS aerosol model representation are tested on synthetic and real PARASOL measurements as a proxy for future 3MI instrument. The retrieved optical properties are compared with CAMD reanalysis data collocated to PARASOL measurements and will be discussed.