03 Jun 2022
 | 03 Jun 2022
Status: this preprint is currently under review for the journal AMT.

SMEARcore – Modular data infrastructure for atmospheric measurement stations

Anton Rusanen, Kristo Hõrrak, Lauri R. Ahonen, Tuomo Nieminen, Pasi P. Aalto, Pasi Kolari, Markku Kulmala, Tuukka Petäjä, and Heikki Junninen

Abstract. We present here the concept of the SMEARcore data infrastructure framework: a collection of modular programs and processing workflows intended for measurement stations and campaigns as a real-time data analysis and management platform. SMEARcore allows various new SMEAR stations (Station for Measuring Earth Surface – Atmosphere Relations) to be built consistently with existing ones and learn from pre-existing experience. The faster establishment of new measurements particularly from a data flow point of view allows those stations to directly benefit from our general experience and from further development of visualization and analysis codes. It also establishes robust data pipelines that allow easier diagnosis of problems. We show practical examples how SMEARcore is utilised at operational measurement stations. This work differs from earlier similar concepts, such as those utilized at stations within ACTRIS (Aerosols, Clouds, and Trace Gases Research Infrastructure) and ICOS (Integrated Carbon Observation System) networks, in two important aspects: by keeping all the processing under the control of the data owners and being extensible to new instruments.

Anton Rusanen et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-67', Anonymous Referee #1, 08 Jul 2022
  • RC2: 'Comment on amt-2022-67', Anonymous Referee #2, 18 Jul 2022

Anton Rusanen et al.

Anton Rusanen et al.


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Short summary
We present a framework for setting up SMEAR (Station for Measuring Earth Surface-Atmosphere Relations) type measurement station data flows. This framework, called SMEARcore, consists of modular open-source software components that can be chosen to suit various station configurations. The benefits of using this framework are automation of routine operations, real-time monitoring of measurement results and station status.