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Open AccessArticle

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

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National Physical Laboratory, Teddington TW11 0LW, UK
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Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, The Netherlands
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Wageningen University, 6700 AA Wageningen, The Netherlands
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Imaging Group, Mullard Space Sciences Laboratory, University College London, Department of Space and Climate Physics, Holmbury, St Mary RH5 6NT, UK
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Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan-3-Avenue Circulaire, B-1180 Brussels, Belgium
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FastOpt GmbH, Schanzenstraße 36, D-20357 Hamburg, Germany
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European Commission, Joint Research Centre (JRC), Via E. Fermi, 2749, 21027 Ispra VA, Italy
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Atmospheric Spectroscopy, Quantum Chemistry and Photophysics, Université Libre de Bruxelles, 50 avenue F. D. Roosevelt, B-1050 Brussels, Belgium
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Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)/IPSL, boîte 102, Sorbonne Université, 4 place Jussieu, 75252 Paris Cedex 05, France
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European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Eumetsat Allee 1, D-64295 Darmstadt, Germany
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CGI, Keats House, The Office Park, Springfield Drive, Leatherhead KT22 7LP, UK
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Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(8), 1254; https://doi.org/10.3390/rs10081254
Received: 8 June 2018 / Revised: 23 July 2018 / Accepted: 31 July 2018 / Published: 9 August 2018
(This article belongs to the Special Issue Remote Sensing of Essential Climate Variables and Their Applications)
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. Policymakers 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 (C3S), the Quality Assurance for Essential Climate Variables (QA4ECV) project fulfilled a gap in the delivery of climate quality satellite-derived datasets, by prototyping a 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 (LAI), fraction of absorbed photosynthetically active radiation (FAPAR), nitrogen dioxide (NO2), formaldehyde (HCHO), and carbon monoxide (CO). The provision of standardised 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 and their specific applications. View Full-Text
Keywords: essential climate variables; climate data records; earth observation satellites; quality assurance; traceability; user requirements; climate applications; surface albedo; LAI; FAPAR; NO2; HCHO; CO 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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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.

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