Preprint Article Version 1 This version is not peer-reviewed

Quality Assurance Framework Development Based on Six New ECV Data Products to Enhance User Confidence for Climate Applications

Version 1 : Received: 8 June 2018 / Approved: 11 June 2018 / Online: 11 June 2018 (11:24:59 CEST)

A peer-reviewed article of this Preprint also exists.

Nightingale, J.; Boersma, K.F.; Muller, J.-P.; Compernolle, S.; Lambert, J.-C.; Blessing, S.; Giering, R.; Gobron, N.; De Smedt, I.; Coheur, P.; George, M.; Schulz, J.; Wood, A. Quality Assurance Framework Development Based on Six New ECV Data Products to Enhance User Confidence for Climate Applications. Remote Sens. 2018, 10, 1254. Nightingale, J.; Boersma, K.F.; Muller, J.-P.; Compernolle, S.; Lambert, J.-C.; Blessing, S.; Giering, R.; Gobron, N.; De Smedt, I.; Coheur, P.; George, M.; Schulz, J.; Wood, A. Quality Assurance Framework Development Based on Six New ECV Data Products to Enhance User Confidence for Climate Applications. Remote Sens. 2018, 10, 1254.

Journal reference: Remote Sens. 2018, 10, 1254
DOI: 10.3390/rs10081254

Abstract

Data from Earth Observation (EO) satellites are increasingly used to monitor the environment, understand variability and change, inform evaluations of climate model forecasts and manage natural resources. Policy makers are progressively relying on the information derived from these datasets to make decisions on mitigating and adapting to climate change. These decisions should be evidence based, which requires confidence in derived products as well as the reference measurements used to calibrate, validate or inform product development. In support of the European Union’s Earth Observation Programmes Copernicus Climate Change Service, the Quality Assurance for Essential Climate Variables (QA4ECV) project fulfilled a gap in the delivery of climate quality satellite derived datasets by prototyping a robust, generic system for the implementation and evaluation of Quality Assurance (QA) measures for satellite-derived ECV climate data record products. The project demonstrated the QA system on six new long-term, climate quality ECV data records for surface Albedo, Leaf Area Index, FAPAR, NO2, HCHO and CO. Provision of standardized QA information provides data users with evidence-based confidence in the products and enables judgement on the fitness-for-purpose of various ECV data products their specific applications.

Subject Areas

essential climate variables; climate data records; earth observation satellites; quality assurance; traceability; user requirements; climate applications; surface albedo; LAI; FAPAR; NO2; HCHO; CO

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