CAMS2_64_bis Development of the CAMS Global Fire Assimilation System

Description

This ITT is for providing support for and further development of the CAMS global fire emissions estimation products, which are operated at ECMWF. The system, which is currently based on the Global Fire Assimilation System (GFAS), delivers near-real-time emissions of gases and aerosols from biomass burning and wildfires through data assimilation of multi-satellite FRP retrievals supporting atmospheric composition and air quality forecasts. The Successful Tenderer shall support the operational fire emissions data provision, provide near-real-time Fire Radiative Power (FRP) observations from the GOES and Himawari geostationary satellites, implement new satellite data products including the merging of GEO and LEO satellite FRP products, provide and implement recommendations for service evolution based on the requirements in this ITT, update information on spurious FRP signals, and deliver the required memoranda and reports. The Successful Tenderer will also advise the team working on the global production system at ECMWF to ensure optimal use of the fire emission data. The Successful Tenderer will have to demonstrate considerable experience in the field of estimation of fire emissions from satellite data. 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). After registering interest, you can access the questionnaire by clicking "start/edit response". 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: CAMS2_64_bis