Preprints
https://doi.org/10.5194/amt-2022-67
https://doi.org/10.5194/amt-2022-67
 
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 Rusanen1, Kristo Hõrrak2, Lauri R. Ahonen1, Tuomo Nieminen1,3, Pasi P. Aalto1, Pasi Kolari1, Markku Kulmala1,4,5, Tuukka Petäjä1,5, and Heikki Junninen2 Anton Rusanen et al.
  • 1Institute for Atmospheric and Earth System Research (INAR) / Physics, Faculty of Science, University of Helsinki, Finland
  • 2Institute of Physics, University of Tartu, Estonia
  • 3Institute for Atmospheric and Earth System Research (INAR) / Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Finland
  • 4Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Sciences and Engineering, Beijing University of Chemical Technology (BUCT), Beijing, China
  • 5Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China

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.

Viewed

Total article views: 388 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
305 74 9 388 4 3
  • HTML: 305
  • PDF: 74
  • XML: 9
  • Total: 388
  • BibTeX: 4
  • EndNote: 3
Views and downloads (calculated since 03 Jun 2022)
Cumulative views and downloads (calculated since 03 Jun 2022)

Viewed (geographical distribution)

Total article views: 355 (including HTML, PDF, and XML) Thereof 355 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Nov 2022
Download
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.