No single sensor provides comprehensive information about a targeted object in a complex environment, and there is always a need to inject the missing information from complementary observations, modeling or other sources of knowledge. In addition, once the instruments have been deployed, the quality of measurements cannot be radically improved, while the processing algorithms remain under constant improvement and the final product can be notably improved by fusion of information and optimizing the use of joint sensitivity of multi-instrument datasets. Therefore, the need and value of the synergy processing becomes especially evident in the light of the continuous rapid increase in the number and diversity of the available diverse remote sensing observations.
This session encourages the discussion of the approaches exploring the synergies of complimentary observations such as: synergy of passive imagery with active vertical profiling of the atmosphere, synergies of observations in different spectral ranges, at different time and/or spatial scales, as well as, synergies of satellite observations with sub-orbital observations and chemical transport model simulations. The session particularly solicits the presentations demonstrating the novel synergy methods for using observations from the Copernicus Sentinels, EarthCARE, MTG, EPS-SG, PACE and other recent and forthcoming advanced satellite missions as well as field campaigns.