|Title||Quality assurance framework development based on six new ECV data products to enhance user confidence for climate applications|
|Author(s)||Nightingale, Joanne; Boersma, Klaas Folkert; Muller, Jan Peter; Compernolle, Steven; Lambert, Jean Christopher; Blessing, Simon; Giering, Ralf; Gobron, Nadine; Smedt, Isabelle De; Coheur, Pierre; George, Maya; Schulz, Jörg; Wood, Alexander|
|Source||Remote Sensing 10 (2018)8. - ISSN 2072-4292|
Meteorology and Air Quality
|Publication type||Refereed Article in a scientific journal|
|Keyword(s)||Climate applications - Climate data records - CO - Earth observation satellites - Essential climate variables - FAPAR - HCHO - LAI - NO2 - Quality assurance - Surface albedo - Traceability - User requirements|
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.