C3s2_384 Downscaling of Cmip6 Climate Projections Using Machine Learning Tools to... Tender

Procurement Summary

Country : Germany

Summary : C3s2_384 Downscaling of Cmip6 Climate Projections Using Machine Learning Tools to Fill the Gaps of the Worldwide Cordex Rcm Simulations

Deadline : 05 Jun 2025

Other Information

Notice Type : Tender

TOT Ref.No.: 119218899

Document Ref. No. : 315256-2025

Financier : Self Financed

Purchaser Ownership : Public

Tender Value : EUR 2730000

Purchaser's Detail

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Tender Details

The main objective of the contract is to create new regional climate data based on ML technology. The new data shall complement existing and planned CORDEx (RCM: Regional Climate Model) simulations and form a coherent dataset, where dynamical (RCM) and ML-based data can be used together. The work shall begin with a gap analysis checking the available and planned RCM data for the CORDEx simulations and what gaps are seen for all the 14 CORDEx domains and for all the available climate scenarios. A complete ML methodological overview is required to check whether there are ready-to-use emulators (which can provide similar set of dynamically consistent climate variables as RCMs) available to provide the ML-based data to fill the identified gaps. Ideally, the best available and tractable RCM emulator techniques need to be used to provide the missing data for the community. The data provided by the procured work needs to be published in the CDS in a similar manner to the other CORDEx climate projection datasets. User guidance and documentation will be written to fully inform the users on these new data, and particularly how they can be used alongside other available RCM datasets. ECMWF intends to award a single Framework Agreement for a period of maximum 32 months, which shall be implemented via a single Service Contract expected to commence in October 2025.

Doc Title: C3S2_384 Downscaling of CMIP6 Climate Projections using Machine Learning Tools to fill the Gaps of the Worldwid...
Document Type: Contract Notice
Reference Number: C3S2_384
Contract Type: services
Estimated Value: 2730000 - EUR
Authority Type: int-org
Doc Title: C3S2_384 Downscaling of CMIP6 Climate Projections using Machine Learning Tools to fill the Gaps of the Worldwide CORDEx RCM Simulations
Dispatch Date: 2025-05-15
Publish Date: 2025-05-16
Submission Date: 2025-06-05

Documents

 Tender Notice