C3S2_361b Development of Machine Learning-based Methods for Downscaling the ERA5 Global Reanalysis to European and Arctic Regions

Tender description

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. Portal instructions: Some of the ITT documents are accessible under the ‘Attachments’ box at bottom right of this page. The full set of ITT documents which are provided inside the response questionnaire are only accessible by registering an interest in this opportunity (see the 'Expression of interest window' at top right). Please refer initially to the ‘ECMWF eProcurement Portal Guidance for suppliers’ file in the Attachments box as this document will help you navigate the portal and locate the necessary information in order to submit a proposal. Please note that the contact email address shown under 'Contact details' is not monitored, and any messages sent to this email address will not be attended to. Questions / clarifications concerning this ITT must be submitted via the Messaging area of the ITT, which can be accessed through the My Activities page of the Portal once you have logged-in and registered your interest in this opportunity. Keywords: global reanalysis, ERA5, machine learning