CAMS_61 Development of regional air quality modelling and data assimilation aspects

Tender description

This ITT is about activities to evaluate and support further development of the modelling and data assimilation aspects of the CAMS Regional Systems, which consist of a geographically distributed ensemble of nine (seven until the end of May 2019) individual operational systems. The successful Tenderer shall critically assess the outputs from the different systems and deliver (essentially) data, routines and pieces of numerical code as well as memoranda and reports. The successful Tenderer shall also advise the providers of the regional production of CAMS and help define the corresponding development plans. The ITT targets organisations with considerable experience in the field of air quality modelling and data assimilation, who will be able to provide the above mentioned contributions for the continuous upgrade of the Regional Systems delivering the CAMS regional production. Portal instructions: In order to allow potential bidders to get a better understanding of the service tendered before committing to it, some of the ITT documents are accessible under the ‘Attachments’ box at bottom right of this page. The full set of ITT documents and relevant questions 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: copernicus, CAMS, meteorology