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RSS FeedsRemote Sensing, Vol. 11, Pages 1186: Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables (Remote Sensing)

 
 

18 may 2019 13:03:34

 
Remote Sensing, Vol. 11, Pages 1186: Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables (Remote Sensing)
 


Climate services are becoming the backbone to translate climate knowledge, data & information into climate-informed decision-making at all levels, from public administrations to business operators. It is essential to assess the technical and scientific quality of the provided climate data and information products, including their value to users, to establish the relation of trust between providers of climate data and information and various downstream users. The climate data and information products (i.e., from satellite, in-situ and reanalysis) shall be fully traceable, adequately documented and uncertainty quantified and can provide sufficient guidance for users to address their specific needs and feedbacks. This paper discusses details on how to apply the quality assurance framework to deliver timely assessments of the quality and usability of Essential Climate Variable (ECV) products. It identifies an overarching structure for the quality assessment of single product ECVs (i.e., consists of only one single variable), multi-product ECVs (i.e., more than one single parameter), thematic products (i.e., water, energy and carbon cycles), as well as the usability assessment. To support a traceable climate service, other than rigorously evaluating the technical and scientific quality of ECV products, which represent the upstream of climate services, how the uncertainty propagates into the resulting benefit (utility) for the users of the climate service needs to be detailed.


 
111 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 1187: Variability of the Suspended Particle Cross-Sectional Area in the Bohai Sea and Yellow Sea (Remote Sensing)
Remote Sensing, Vol. 11, Pages 1185: Spatial Distribution of Forest Fire Emissions: A Case Study in Three Mexican Ecoregions (Remote Sensing)
 
 
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