Conference Presentation (After Call)

FZJ-2022-00489

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png The TOAR database: metadata harmonization and data quality assurance on global air quality data

Selke, N. (Corresponding author)FZJ* ; Schröder, S.FZJ* ; Romberg, M.FZJ* ; Ahring, J.FZJ* ; Leufen, L. H.FZJ* ; Apweiler, S.FZJ* ; Schultz, M.FZJ*

2021

Please use a persistent id in citations: http://hdl.handle.net/2128/30214

Abstract: In the TOAR phase II we are extending the global database of air quality and weather data time series established at the Jülich Supercomputing Center. The database combines different ground-level atmospheric observations and model products with high-resolution geographic data in order to characterize individual measurement locations and regional air pollution patterns. The metadata is enriched by blending controlled vocabulary and ontologies with less constrained full text fields and includes provider information, location description, measurement description, data quality, and versioning information. Furthermore, an automatic flagging system for quality assurance is installed. The results of these automated tests are combined with original quality flags provided by the data providers and saved with each data point in the database. This approach contributes to the reliability and documentation of the TOAR data in line with FAIR data concepts. TOAR data users are provided with a flexible and powerful infrastructure for data access and online analysis.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. IntelliAQ - Artificial Intelligence for Air Quality (787576) (787576)
3. Earth System Data Exploration (ESDE) (ESDE)

Appears in the scientific report 2021

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Database coverage:

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