In line with the GAW Data Policy, users should contact the contributors of all data of interest and propose co-authorship or acknowledgement.
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 | Viktor Ivakhov |
|---|---|
| Prefix | |
| ivakhooo@mail.ru | |
| Organization No | 46 |
| Organization acronym | MGO |
| Organization name | Voeikov Main Geophysical Observatory |
| Organization country/territory | Russian Federation |
| Address 1 | |
| Address 2 | |
| Address 3 | |
| Country/territory | Russian Federation |
| Tel | |
| Fax | |
| Last updated date | 2023-06-28 |
| Name | Tuomas Laurila |
|---|---|
| Prefix | |
| 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 | 2022-06-14 |
| Name | Ed Dlugokencky |
|---|---|
| Prefix | |
| ed.dlugokencky@noaa.gov | |
| Organization No | 2 |
| Organization acronym | NOAA |
| Organization name | Global Monitoring Laboratory, NOAA |
| Organization country/territory | United States of America |
| Address 1 | NOAA GML |
| Address 2 | 325 Broadway R/GML-1 |
| Address 3 | Boulder, CO 80305-3328 |
| Country/territory | United States of America |
| Tel | 303-497-6228 |
| Fax | |
| Last updated date | 2022-12-15 |
| Name | Juha Hatakka |
|---|---|
| Prefix | |
| juha.hatakka@fmi.fi | |
| Organization No | 25 |
| Organization acronym | FMI |
| Organization name | Finnish Meteorological Institute |
| Organization country/territory | Finland |
| Address 1 | Finnish Meteorological Institute |
| Address 2 | Erik Palmenin aukio 1 |
| Address 3 | FI-00560 Helsinki, Finland |
| Country/territory | Finland |
| Tel | +358-29-539 5491 |
| Fax | +358-29-539 3503 |
| Last updated date | 2023-08-29 |
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| Background observation | |||||||||||||
| UTC+09:00 | |||||||||||||
| ppb | |||||||||||||
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9999-12-31 00:00:00 - 9999-12-31 23:59:59: WMO CH4 X2004A |
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2010-09-01 00:00:00 - 2013-07-04 23:59:59: DLT100 (Los Gatos Research)(off-axis integrated cavity output spectroscopy (OA-ICOS)) 2013-07-05 00:00:00 - 9999-12-31 23:59:59: G2301 Picarro, Inc.(CRDS) |
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2010-09-01 00:00:00 - 9999-12-31 23:59:59: 10 (m) |
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| 1 minute | |||||||||||||
| Three calibration gas cylinders prepared at the WMO/GAW Central Calibration Laboratory in NOAA/ESRL, Boulder, CO, were measured automatically every 50 hours. In addition one target gas from MGO Voeikovo, St Petersburg was measured every 17 hours. 2013-07-07 00:00:00 - 9999-12-31 23:59:59, we used a target gas cylinder, which was calibrated against a set of CCL cylinders in FMI. 2017-05-31 00:00:00 - 9999-12-31 23:59:59 we used three calibration gases and a target gas, which were prepared at FMI and calibrated against a set of CCL cylinders in FMI. | |||||||||||||
| 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 (cylinder containing natural air that is treated as unknown sample in a sequence of analyses) measurements, and comparison between the NOAA and MGO weekly flask samples (terminated 2018) and in-situ data. | |||||||||||||
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[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. |
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Hourly data is flagged based on wind speed because there is a risk that ambient air concentrations are influenced by local wetland emissions when wind speed is low. Flags: 1 - Valid 2 – Valid, wind speed lower than 3 m/s 3 - Missing value (or rejected due to system problems) |
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Valid: 2 Invalid: 3 Valid (background): 1 |
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| Operational/Reporting | |||||||||||||
| Sample air is drawn by Metal-Bellows MB-158E pump via 13 meter ¼” Teflon tube. Outdoor 9m section is heated. In 2010-09-01 00:00:00 - 2013-07-04 01:26:59sample air to the OA-ICOS analyzer was dried by a Nafion dryer. In the May-September periods, M&C cryo dryer (dew point -28C) was used upstream the Nafion drier. 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. | |||||||||||||
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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 |
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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. |
DOI Metadata
| DOI |
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| Version |
2022-07-08-2150 (Data Version History) * DOIs and file names may have multiple versions. Be sure to check the data version. |
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| Title | Atmospheric CH4 at Tiksi by Finnish Meteorological Institute, dataset published as CH4_TIK_surface-insitu_FMI_data1 at WDCGG | ||||||||||||||||
| Creator |
Finnish Meteorological Institute Viktor Ivakhov (MGO) Tuomas Laurila (MGO) Ed Dlugokencky (MGO) Juha Hatakka (MGO) |
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| Publisher | World Data Centre for Greenhouse Gases | ||||||||||||||||
| Publication Date | 2019-04-08 (Last Updated: 2022-07-11) | ||||||||||||||||
| Format | Text (WDCGG Data Format Table, WDCGG Meteorological Data Format Table), NetCDF | ||||||||||||||||
| Relation List (Is Part Of) |
All CH4 data contributed to WDCGG by GAW stations and mobiles by 2023-09-13 All CH4 data contributed to WDCGG by GAW stations and mobiles by 2022-09-07 All CH4 data contributed to WDCGG by GAW stations and mobiles by 2021-08-27 All CH4 data contributed to WDCGG by GAW stations and mobiles by 2020-09-28 All CH4 data contributed to WDCGG by GAW stations and mobiles by 2019-09-19 |
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| Geolocation Point |
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GAW Data Policy
"For Scientific purposes, access to these data is unlimited and provided without charge.
By their use you accept that an offer of co-authorship will be made through personal contact with the data providers
or owners whenever substantial use is made of their data.
In all cases, an acknowledgement must be made to the data providers or owners and to the data centre when these data are used within a publication."
Citation format
This format is an example of the WDCGG standard citation.
Please follow the citation format which the data providers or owners indicate.
Please follow the citation format which the data providers or owners indicate.
Viktor Ivakhov (MGO),
Tuomas Laurila (FMI),
Ed Dlugokencky (NOAA),
Juha Hatakka (FMI),
Atmospheric CH4
at Tiksi by Finnish Meteorological Institute
,
dataset published as CH4_TIK_
surface-insitu_FMI_data1 at WDCGG,
ver. 2022-07-08-2150, https://doi.org/10.50849/WDCGG_0025-2002-1002-01-01-9999 (Reference date*: YYYY/MM/DD)
* As the reference date, please indicate the date you downloaded the files.
* As the reference date, please indicate the date you downloaded the files.
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. |
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