METER.AC: Live Open Access Atmospheric Monitoring Data for Bulgaria with High Spatiotemporal Resolution

Atanas Terziyski, Stoyan Tenev, Vedrin Jeliazkov, Nina Jeliazkova and Nikolay Kochev
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Atanas Terziyski: Faculty of Chemistry, University of Plovdiv “Paisii Hilendarski”, 24 Tsar Asen Str, 4000 Plovdiv, Bulgaria
Stoyan Tenev: Faculty of Chemistry, University of Plovdiv “Paisii Hilendarski”, 24 Tsar Asen Str, 4000 Plovdiv, Bulgaria
Vedrin Jeliazkov: Ideaconsult Ltd., 1000 Sofia, Bulgaria
Nina Jeliazkova: Ideaconsult Ltd., 1000 Sofia, Bulgaria
Nikolay Kochev: Faculty of Chemistry, University of Plovdiv “Paisii Hilendarski”, 24 Tsar Asen Str, 4000 Plovdiv, Bulgaria

Data, 2020, vol. 5, issue 2, 1-13

Abstract: Detailed atmospheric monitoring data are notoriously difficult to obtain for some geographic regions, while they are of paramount importance in scientific research, forecasting, emergency response, policy making, etc. We describe a continuously updated dataset, METER.AC, consisting of raw measurements of atmospheric pressure, temperature, relative humidity, particulate matter, and background radiation in about 100 locations in Bulgaria, as well as some derived values such as sea-level atmospheric pressure, dew/frost point, and hourly trends. The measurements are performed by low-power maintenance-free nodes with common hardware and software, which are specifically designed and optimized for this purpose. The time resolution of the measurements is 5 min. The short-term aim is to deploy at least one node per 100 km 2 , while uniformly covering altitudes between 0 and 3000 m asl with a special emphasis on remote mountainous areas. A full history of all raw measurements (non-aggregated in time and space) is publicly available, starting from September 2018. We describe the basic technical characteristics of our in-house developed equipment, data organization, and communication protocols as well as present some use case examples. The METER.AC network relies on the paradigm of the Internet of Things (IoT), by collecting data from various gauges. A guiding principle in this work is the provision of findable, accessible, interoperable, and reusable (FAIR) data. The dataset is in the public domain, and it provides resources and tools enabling citizen science development in the context of sustainable development.

Keywords: open network; atmosphere; monitoring; citizen science; Internet of Things; big data; FAIR data (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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