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222Rn _ MNM _ surface - insitu _ MRI _ data1
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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 48
Acronym MRI
Name Meteorological Research Institute
Address 1 Department of Climate and Geochemistry Research
Address 2 Meteorological Research Institute
Address 3 1-1 Nagamine, Tsukuba, 305-0052, Japan
Country/Territory Japan
Website https://www.mri-jma.go.jp/index_en.html

 Contact(s)

Name Kentaro ISHIJIMA
Prefix Dr.
Email ishijima@mri-jma.go.jp
Organization No 48
Organization acronym MRI
Organization name Meteorological Research Institute
Organization country/territory Japan
Address 1
Address 2 Department of Climate and Geochemistry Research
Address 3 1-1 Nagamine, Tsukuba, Ibaraki 305-0052
Country/territory Japan
Tel +81-29-853-8725
Fax
Last updated date 2024-08-13


NO 1
Acronym JMA
Name Japan Meteorological Agency
Person
Name TAKATSUJI Shinya
Prefix Mr.
Email ghg_obs@met.kishou.go.jp
Address 1 Atmosphere and Ocean Department
Address 2 Atmospheric Environment and Ocean Division
Address 3 3-6-9 Toranomon, Minato City, Tokyo 105-8431
Country/territory Japan
Tel +81-3-3434-9127
Fax
 Background observation
 UTC+09:00
 mBq/m3
 9999-12-31 00:00:00 - 9999-12-31 23:59:59: Nagoya university original radon-222 scale
 9999-12-31 00:00:00 - 9999-12-31 23:59:59: A high-precision 222Rn measurement system by Wada et al. (2010)(Electrostatic collection method)
 9999-12-31 00:00:00 - 9999-12-31 23:59:59: 20 (m)
 10 minutes
 The 222Rn analyzer is calibrated by cross-checking with an 222Rn analyzer already calibrated at Nagoya University, Japan.
 Raw data of 218Po counting in 10 minutes time frame are converted to the 222Rn concentration (mBq m-3), and the data are averaged for one-hour at one-hour interval. In the procedure, raw 10-minute interval 222Rn concentration data affected by system maintenances or troubles are regarded as invalid.
 [Hourly] In each one hour time frame, valid 10-minute data are temporally interpolated, adding two data before and after the time frame, and the hourly mean is caluculated. The uncertainty of the hourly data is given by the standard error, which is calculated using valid data existing in the one hour time frame.
 [Daily]
 [Monthly]
 Depending on the number of valid 10-minute data in each one hourly time frame, two different flags are used. 1: six valid 10-minute data exist. 2: not six but enough number of valid data exist. 3: enough number of valid 10-minute data does not exist or no data exist
 Valid: 1
 Valid: 2
 Invalid: 3
 Operational/Reporting
 A high-precision 222Rn measurement system developed by the National Institute of Advanced Industrial Science and Technology (AIST) and the Meteorological Research Institute (MRI) of Japan (Wada et al., 2010), was used to continuously monitor atmospheric 222Rn concentrations. The system employs the electrostatic collection method, which collects positively charged progenies of 222Rn in sample air on a PIN photodiode with a high negative voltage applied, and detects alpha particles emitted by progeny nuclides. Data obtained every 10 minutes were averaged for one-hour at one-hour interval. The detection limit, based on the definition by Currie (1968), is 0.16 Bq m-3 for one hour. Analyzers are calibrated by cross-checking with an analyzer calibrated at Nagoya University, Japan.
 Wind direction:
 Wind speed:
 Relative humidity:
 Precipitation amount:
 Air pressure:
 Air temperature:
 Dew point temperature:
 Sea water temperature:
 Sea surface water temperature:
 Sea water salinity:
 Sea surface water salinity:
Meteorological data may remain as first provided, even when greenhouse gas data are updated.
 

 DOI Metadata

DOI
222rn_mnm_surface-insitu_48_9999-9999_hourly.nc 10.50849/WDCGG_0048-2029-6002-01-01-9999
222rn_mnm_surface-insitu_48_9999-9999_hourly.txt 10.50849/WDCGG_0048-2029-6002-01-01-9999
Version 2024-07-23-0502 (Data Version History)
* DOIs and file names may have multiple versions. Be sure to check the data version.
Title Atmospheric 222Rn at Minamitorishima by Meteorological Research Institute, dataset published as 222Rn_MNM_surface-insitu_MRI_data1 at WDCGG
Creator Meteorological Research Institute
Kentaro ISHIJIMA (JMA)
Publisher World Data Centre for Greenhouse Gases
Publication Date 2021-10-15 (Last Updated: 2024-07-26)
Format Text (WDCGG Data Format Table, WDCGG Meteorological Data Format Table), NetCDF
Relation List (Is Part Of) All 222Rn data contributed to WDCGG by GAW stations and mobiles by 2024-08-13
All 222Rn data contributed to WDCGG by GAW stations and mobiles by 2023-08-16
All 222Rn data contributed to WDCGG by GAW stations and mobiles by 2022-07-11
Geolocation Point
Latitude (north: +; south: -) 24.2883
Longitude (east: +; west: -) 153.9833

 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.
Kentaro ISHIJIMA (MRI), Atmospheric 222Rn at Minamitorishima by Meteorological Research Institute , dataset published as 222Rn_MNM_ surface-insitu_MRI_data1 at WDCGG, ver. 2024-07-23-0502, https://doi.org/10.50849/WDCGG_0048-2029-6002-01-01-9999 (Reference date*: YYYY/MM/DD)

* As the reference date, please indicate the date you downloaded the files.

 Reference(s)

1  Currie, L. A., 1968: Limits for qualitative detection and quantitative determination Application to radiochemistry, Analytical Chemistry, 40 (3), 586–593.
2  Wada, A., S. Murayama, H. Kondo, H. Matsueda, Y. Sawa, and K. Tsuboi, 2010: Development of a compact and sensitive electrostatic Radon-222 measuring system for use in atmospheric observation, J. Meteor. Soc. Jpn, 88, 123–134.