the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Optimal variables for retrieval products
Simone Ceccherini
Abstract. The increase of satellite instruments sounding the atmosphere will make it very likely that several instruments simultaneously measure either the same vertical profile or vertical profiles related to nearby geo-locations, and users will consult fused products rather than individual measurements. Therefore, the retrieval products should be optimized for the use in data fusion operations, rather than for the representation of the profile. This change of paradigm raises the question if a more functional representation of the retrieval products exists. New variables for the retrieval products are proposed that have several advantages with respect to the standard retrieval products. These variables, in the linear approximation of the forward model, are independent of the a priori information used in the retrieval, allow to represent the profile with any a priori information and can directly be used to perform the data fusion of a set of measurements. Furthermore, the use of these variables allows to reduce to about one third the stored data volume with respect to the use of standard retrieval products.
Simone Ceccherini
Status: open (extended)
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RC1: 'Comment on amt-2023-42', Anonymous Referee #2, 23 May 2023
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General comments
The proposed concept aims to significantly decrease the volume of the processed data during a fusion of several profiles obtained from atmospheric composition measurements using remote sensing. Indeed, in future we may effectively have several profiles collocated or being close in term of location. The formalism for the concept is well described. However, even if it is not quite the objective of this piece of work, the results of this concept need to be confronted to those of the classic retrieval method and more importantly to be validated by independent observations.
Specific comments
See in the attached pdf file
Simone Ceccherini
Simone Ceccherini
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