Reviewing the discoverability and accessibility to data and information products linked to Essential Climate Variables

作     者：Maria Teresa Miranda Espinosa Gregory Giuliani Nicolas Ray 

作者机构：Institute for Environmental SciencesenviroSPACE labUniversity of GenevaGenevaSwitzerland Institute for Environmental SciencesGRID-GenevaUniversity of GenevaGenevaSwitzerland GeoHealth GroupInstitute of Global HealthFaculty of MedicineUniversity of GenevaGenevaSwitzerland' 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2020年第13卷第2期

页      面：236-252页

核心收录：

学科分类：08[工学] 0708[理学-地球物理学] 0835[工学-软件工程] 0704[理学-天文学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by Horizon 2020 Framework Programme[grant number 689443] 

主　　题：Essential Climate Variables Climate services discoverability accessibility usability 

摘      要：Essential Climate Variables(ECVs)are geophysical records generated from systematic Earth Observations associated with climate variations,changes,and *** products support the data and information needs of international frameworks and policies such as the work of the United Nations Framework Convention on Climate Change(UNFCCC)and the Intergovernmental Panel on Climate Change(IPCC).We map the main networks and initiatives publishing ECVs,by presenting an overview of existing satellite-based ECVs,their general data creation characteristics,discoverability and accessibility methods from an end-user *** investigate key initiatives providing or coordinating access to ECV data records,such as the Global Climate Observing System(GCOS),the Committee on Earth Observation Satellites(CEOS),the Coordination Group for Meteorological Satellites(CGMS),Joint Working Group on Climate(WGClimate),the Remote Sensing Systems(REMSS),and the European Space Agency Climate Change Initiative(ESA CCI).We find that ECV data discovery and access is difficult and time consuming due to the lack of common data and metadata *** addition,the selection of fit-for-purpose data records by end-users requires the implementation of interoperable standards and scalable data infrastructures to allow the generation of tailored applications and datadriven information products in support of decision-making processes.