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. The new platforms for Earth observation from space are characterized by measurements made at great spatial and temporal resolutions. While thisabundance of information makes it possible to detect and study localized phenomena, it may be difficult to manage this largeamount of data for the study of global and large-scale phenomena. A particularly significant example is the use by assimilation systems of Level 2 products that represent gas profiles in the atmosphere. The modelson which assimilation systems are based are discretized on spatial grids with horizontal dimensions of the order of tens of kilometres in which tensor hundreds of measurements may fall in the future. A simple procedure to overcome this problem is to extract a subset of the original measurements, but this involves a loss of information. Anotheroption is the use of simple averages of the profiles, but this approach also has some limitations that we will discuss in the paper. A more advancedsolution is to resort to the so-called fusion algorithms, capable of compressing the size of the dataset while limiting the information loss. Anovel data fusion method, the Complete Data Fusion algorithm, was recently developed to merge a set of retrieved products in a single product a posteriori. Inthe present paper, we apply the Complete Data Fusion method to ozone profile measurements simulated in the thermal infrared and ultraviolet bandsin a realistic scenario. Following this, the fused products are compared with the input profiles; comparisons show that the output products of data fusion havesmaller total errors and higher information contents in general. The comparisons of the fused products with the fusing products are presented both at singlefusion grid box scale and with a statistical analysis of the results obtained on large sets of fusion grid boxes of the same size. We also evaluatethe grid box size impact, showing that the Complete Data Fusion method can be used with different grid box sizes even if this possibility isconnected to the natural variability of the considered atmospheric molecule.

Application of the Complete Data Fusion algorithm to the ozone profiles measured by geostationary and low-Earth-orbit satellites: a feasibility study