C3s2_361B Development of Machine Learning-Based Methods for Downscaling the Era5... Tender

Procurement Summary

Country : United Kingdom

Summary : C3s2_361B Development of Machine Learning-Based Methods for Downscaling the Era5 Global Reanalysis to European and Arctic Regions

Deadline : 22 Oct 2024

Other Information

Notice Type : Tender

TOT Ref.No.: 105287836

Document Ref. No. : DN736492

Competition : ICB

Financier : Self Financed

Purchaser Ownership : Public

Tender Value : Refer Document

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Tender Details

C3s2_361B Development Of Machine Learning-Based Methods For Downscaling The Era5 Global Reanalysis To European And Arctic Regions

ECMWF, as the Entrusted Entity for the Copernicus Climate Change Service (C3S), invites Tenders for services related to machine learning-based downscaling of global reanalysis datasets with the main goal of the quick timely updates of the European and Arctic regional reanalyses.



ECMWF intends to award a single Framework Agreement for a period of maximum 24 months, which shall be implemented via a single Service Contract expected to commence in Q12025.



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 Tender Notice