ESA Open Invitation to Tender AO9708
Open Date: 17/04/2019
Closing Date: 31/05/2019 13:00:00

Status: ISSUED
Reference Nr.: 19.187.01
Prog. Ref.: LTDP-2
Budget Ref.: E/0079-02 – LTDP-2
Special Prov.: AT+BE+DK+FR+DE+IT+NL+ES+SE+CH+GB+IE+AT+NO+FI+PT+GR+LU+CZ+RO+PL+EE+HU+SI+CA
Tender Type: C
Price Range: > 500 KEURO
Products: Ground Segment / Mission Operations / Other
Techology Domains: Space System Software / Earth Observation Payload Data Exploitation / Data and Information Processing and Exploitation
Establishment: ESRIN
Directorate: Directorate of EO Programmes
Department: EO Mission Management & GS Department
Division: EO Mission Mngmt & Product Quality Div.
Contract Officer: Schwarz, Nathalie
Industrial Policy Measure: N/A – Not apply
Last Update Date: 17/04/2019
Update Reason: Tender issue

The term Fundamental Data Record indicates a unified and coherent multi-instrument long-term time series of selected Earth Observation (EO) sensor data fulfilling the performance objectives of the individual missions, but also addressing improvements for quality aspects exceeding the capabilities of the single satellite systems, enhancing accuracy and stability required for comprehension and monitoring of the Earth system. The proposed activity entails definition, generation, and validation of innovative data records fromhistorical EO missions that can be categorised as Fundamental Earth System Data Records in the domain of satellite Atmospheric Composition.The FDR4ATMOS project, part of ESA Long Term Data Preservation programme, will target the valorisation and exploitation of the long-standing record of global atmospheric composition measurements from the ERS-2 and ENVISAT heritage missions (e.g. GOME, SCIAMACHY, MIPAS), with the objective of improving quality aspects and uptake respect to the existing data holdings, and ensuring continuity towards current (e.g. Copernicus Sentinel-5 Precursor, GOME-2) and future missions (e.g. Copernicus Sentinel-4 and -5). The generated long-term data records shall pursue the harmonisation of the different sensors by mean of recalibration and inter-satellite calibration, and shall provide a thorough uncertainty characterization based on solid Metrological principles.