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Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables

Authors :
Yijian Zeng
Zhongbo Su
Iakovos Barmpadimos
Adriaan Perrels
Paul Poli
K. Folkert Boersma
Anna Frey
Xiaogang Ma
Karianne de Bruin
Hasse Goosen
Viju O. John
Rob Roebeling
Jörg Schulz
Wim Timmermans
Source :
Remote Sensing, Vol 11, Iss 10, p 1186 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

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.

Details

Language :
English
ISSN :
20724292
Volume :
11
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.f443e32d6e04eec9dc8e0bc997b8878
Document Type :
article
Full Text :
https://doi.org/10.3390/rs11101186