The data obtained from EarthCARE's four sensors includes the distribution of atmospheric particles (aerosols), vertical velocity in clouds (Doppler velocity), cloud distribution (cloud mask), cloud particle phase and shape identification (cloud particle type), cloud microphysical quantities, precipitation characteristics, radiation fluxes, and other physical quantities. Due to differences in observation methods, the sensitivity and characteristics of each physical quantity vary from sensor to sensor.

In order to create a synergistic products that integrates information obtained from different types of sensors, an advanced calculation process (algorithm) is essential, which takes into account the differences in observation methods and sensitivity characteristics of each sensor. JAXA and NICT are developing algorithms to create CPR, ATLID, and MSI stand-alone sensor products, as well as synergy products of two, three, and four of these sensors.

The figure above conceptually illustrates the analytical flow by which higher-order physical quantities in level 2 products are derived from the engineering values contained in level 1b products.

Observables of CPR, ATLID, and MSI are synergistically converted into geophysical quantities of aerosol, cloud, precipitation with higher accuracy than these derived from single sensor observables. These aerosol, cloud, and precipitation parameters are used as inputs to a radiative transfer model to calculate the radiation parameters in each vertical layer of the atmosphere.

The radiation parameters calculated by the radiative transfer model are then optimally corrected by comparing its consistency with the radiation at the top of the atmosphere observed by the BBR, then derive "shortwave and longwave radiation fluxes of solar and terrestrial radiation" and "vertical profile of atmospheric heating rate due to shortwave and longwave radiation" which are EarthCARE's ultimate goals.