The new IAGOS Data Portal

Damien Boulanger, Asmae Bouhouili, Olivier Bex-Chauvet,Pawel Wolff,Valérie Thouret,Hannah Clark

crossref(2022)

引用 0|浏览0
暂无评分
摘要
<p>IAGOS (In-service Aircraft for a Global Observing System) is a European Research Infrastructure that aims to provide long-term, regular and spatially resolved in situ observations of the atmospheric composition. &#160;IAGOS observation systems are deployed on a fleet of commercial aircraft and perform uninterrupted measurements, from take-off to landing, of aerosols, cloud particles, greenhouse gases, ozone, carbon monoxide, water vapor and nitrogen oxides, from the surface to the lower stratosphere. The IAGOS database is an essential part of the global atmospheric monitoring network.</p><p>The IAGOS Data Portal (via https://www.iagos.org) is managed by AERIS, the French Data and Services Cluster for Atmosphere (https://en.aeris-data.fr). The new portal offers improved discovery and access to all the IAGOS datasets from the observational data to the derived and elaborated data products. Thanks to the H2020 project ENVRI-FAIR, all data is now managed in accordance with the FAIR principles. Rich metadata and data files are available in standardized formats (NetCDF-CF, etc.). The portal also provides advanced web-processing services such as visualisation capabilities and machine actionable access.</p><p>Particular attention has been paid to the interoperability of IAGOS data with external data portals. Interoperability is currently being implemented with other airborne programs such as SAFIRE and EUFAR, with other Research Infrastructures from the Atmospheric domain and more generally from the Environmental domain in the frame of the ENVRI community.</p><p>In the frame of the European projects ATMO-ACCESS and RI-URBANS, IAGOS is currently developing new advanced services such as: statistical analysis tools, combination of products from different sources with satellite data and models, Jupyter notebooks for demonstration of IAGOS data usage, footprints calculation and homeless data service for datasets acquired on mobile platforms.</p>
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要