Metamorphoses: Metadata for the merging of diverse atmospheric data on common subspaces

This project will develop enhanced standards for storage efficient decomposed arrays and tools for an automated generation of standardised Lagrange trajectory data files thus enabling an optimised and efficient synergetic merging of large remote sensing data sets.

This data project contains data and software with regard to Metamorphoses , a joint project in the framework of Helmholtz Metadata Collaboration (HMC) with contributions from KIT-IMK and FZJ-IEK7.

Currently the amount and diversity of high-quality satellite-based atmospheric observations is quickly increasing, and their synergetic use offers unprecedented knowledge gaining opportunities. However, for this kind of interoperability and reusability of the remote sensing data, the storage intensive averaging kernels and errorcovariances are needed for each individual observation.

This project will develop enhanced standards for storage efficient decomposed arrays thus enabling the advanced reuse of very large remote sensing data sets. The synergetic data merging will be further supported by Lagrange trajectory metadata. For this purpose, the project will develop tools for an automated generation of standardised trajectory data files.

A case study will demonstrate the impact on science of the multi-sensor atmospheric observational data generated with the support of Lagrange trajectory calculations. The project will actively support data merging activities in other research fields.

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