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 Organization

NO 25
Acronym FMI
Name Finnish Meteorological Institute
Address 1
Address 2
Address 3 P.O. BOX 503 FI-00101 HELSINKI FINLAND
Country/Territory Finland
Website http://www.fmi.fi/en

 Contact(s)

Name Tuomas Laurila
Prefix
Email tuomas.laurila@fmi.fi
Organization No 25
Organization acronym FMI
Organization name Finnish Meteorological Institute
Organization country/territory Finland
Address 1
Address 2
Address 3
Country/territory Finland
Tel
Fax
Last updated date 2020-07-29


NO 46
Acronym MGO
Name Voeikov Main Geophysical Observatory
Person
Name Viktor Ivakhov
Prefix
Email ivakhooo@mail.ru
Address 1
Address 2
Address 3
Country/territory Russian Federation
Tel
Fax
 Background observation
 UTC+09:00
 ppm
 9999-12-31 00:00:00 - 9999-12-31 23:59:59: WMO CO2 X2007
 9999-12-31 00:00:00 - 9999-12-31 23:59:59: G2301(CRDS)
 9999-12-31 00:00:00 - 9999-12-31 23:59:59: 10 (m)
 1 minute
 We used three calibration gas cylinders and one target gas, which were calibrated in FMI, Helsinki against calibration gases by WMO/GAW Central Calibration Laboratory in NOAA/ESRL. Original set deployed to Tiksi in 2009, was replaced by a new set in 2017 and have been in use 2017-05-31 00:00:00 – 9999-12-31 23:59:59. Calibration gases were measured automatically every 10 days. The target gas cylinder was measured more frequently.
 The raw data is calculated to one minute averages, and these averages are calculated to mixing ratios using linear equation based on automatic calibrations. Data is checked manually for values which don’t represent conditions when the measurement system is technically functioning well and flagged accordingly. Quality assurance procedures involve time series plots, target tank (i.e. cylinders containing natural air that are treated as (unknown) sample in a sequence of analyses) measurements, and comparison between the NOAA and MGO weekly flask samples and in-situ data.

 [Hourly] Valid 1min averages are calculated to hourly values. Thus, ND (the number of detections) refers to the number of available 1min averages within the respective hour
 [Daily] Hourly averages are aggregated to daily means. Thus, ND (the number of detections) refers to the number of available hourly averages within the respective day.
 [Monthly] Daily data are aggregated to monthly means. Thus, ND (the number of detections) refers to the number of available daily averages within the respective month.
 1 - Valid
2 – Valid, wind speed lower than 3 m/s
3 - Missing value (or rejected due to system problems)
 Valid (background): 1
 Valid: 2
 Invalid: 3
 Operational/Reporting
 Sample air is drawn by Metal-Bellows MB-158E pump via 13 meter ¼” Teflon tube. Outdoor 9m section is heated. 2013-07-07 00:00:00 - 9999-12-31 23:59:59, we used CRDS measuring wet, without drying. Water vapor coefficients were measured in FMI before shipping.
 Wind direction: 1
 Wind speed: 1
 Relative humidity: 1
 Precipitation amount: 0
 Air pressure: 1
 Air temperature: 1
 Dew point temperature: 0
 Sea water temperature: 0
 Sea surface water temperature: 0
 Sea water salinity: 0
 Sea surface water salinity: 0
Meteorological data may remain as first provided, even when greenhouse gas data are updated.
 Meteo data are 1 hour averages. Time stamp is the beginning of the 1 hour period. Anemometer height 10m. Data is from the same point as gas measurements except when this data is missing, we used data by Tiksi synop station at 1.5km distance.
No DOI available

 Related information

Format Text (WDCGG Data Format Table, WDCGG Meteorological Data Format Table), NetCDF
Relation List (Is Part Of) All CO2 data contributed to WDCGG by GAW stations and mobiles by 2020-09-28
Geolocation Point
Latitude (north: +; south: -) 71.5861663818
Longitude (east: +; west: -) 128.9188232422

 Reference(s)

1  ISSN 1068-3739, Russian Meteorology and Hydrology, 2019, Vol. 44, No. 4, pp. 291–299. Ó Allerton Press, Inc., 2019.
Russian Text Ó V.M. Ivakhov, N.N. Paramonova, V.I. Privalov, A.V. Zinchenko, M.A. Loskutova, A.P. Makshtas, V.Y. Kustov, T. Laurila, M. Aurela, E. Asmi, 2019,
published in Meteorologiya i Gidrologiya, 2019, No. 4, pp. 110–121.