Daily Temperature and Precipitation Data for 223 Former-USSR Stations (NDP-040)

Razuvaev, V. N.; Apasova, E. B.; Martuganov, R. A.

doi:10.3334/CDIAC/cli.ndp040

Title: Daily Temperature and Precipitation Data for 223 Former-USSR Stations (NDP-040)

Dataset
Other Related Research

Abstract

The stations in this dataset are considered by RIHMI to comprise one of the best networks suitable for temperature and precipitation monitoring over the the former-USSR. Factors involved in choosing these 223 stations included length or record, amount of missing data, and achieving reasonably good geographic coverage. There are indeed many more stations with daily data over this part of the world, and hundreds more station records are available through NOAA's Global Historical Climatology Network - Daily (GHCND) database. The 223 stations comprising this database are included in GHCND, but different data processing, updating, and quality assurance methods/checks mean that the agreement between records will vary depending on the station. The relative quality and accuracy of the common station records in the two databases also cannot be easily assessed. As of this writing, most of the common stations contained in the GHCND have more recent records, but not necessarily records starting as early as the records available here. This database contains four variables: daily mean, minimum, and maximum temperature, and daily total precipitation (liquid equivalent). Temperature were taken three times a day from 1881-1935, four times a day from 1936-65, and eight times a day since 1966. Daily mean temperaturemore »« less

Authors:

Razuvaev, V. N.; Apasova, E. B.; Martuganov, R. A.

All-Russian Research Institute of Hydrometeorological Information, World Data Centre

Publication Date:: Mon Jan 01 00:00:00 EST 2018

Other Number(s):: osti:1394937; doi:10.3334/CDIAC/CLI.NDP040; cdiac:doi 10.3334/CDIAC/cli.ndp040

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States)

Sponsoring Org.:: U.S. DOE > Office of Science (SC) > Biological and Environmental Research (BER) (SC-23)

Subject:: 54 ENVIRONMENTAL SCIENCES

Keywords:: Maximum temperature; Mean temperature; Minimum temperature; Precipitation; U.S.S.R. Stations; Agreement on Protection of the Environment; Daily Temperature and Precipitation Data; Research Institute of Hydrometeorological Information; NDP-040; DATA; DAY; DIRECT; DIST; ELEV; FLAGA; FLAGB; LAT; LON; LYR; MAXTFYR; MAXTMISS; MIDTFYR; MIDTMISS; MINTFYR; MINTMISS; MONTH; NAME; NOBS; PRCPFYR; PRCPMISS; TYPE; WMO; YEAR

Geolocation:: 73.5,-179.48|35.28,-179.48|35.28,20.62|73.5,20.62|73.5,-179.48

OSTI Identifier:: 1394937

DOI:: https://doi.org/10.3334/CDIAC/cli.ndp040

Project Location:

Citation Formats


                    Razuvaev, V. N., Apasova, E. B., and Martuganov, R. A. Daily Temperature and Precipitation Data for 223 Former-USSR Stations (NDP-040).  United States: N. p., 2018. 
        Web.  doi:10.3334/CDIAC/cli.ndp040.

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                    Razuvaev, V. N., Apasova, E. B., & Martuganov, R. A. Daily Temperature and Precipitation Data for 223 Former-USSR Stations (NDP-040).  United States.  doi:https://doi.org/10.3334/CDIAC/cli.ndp040

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                    Razuvaev, V. N., Apasova, E. B., and Martuganov, R. A. 2018.  
"Daily Temperature and Precipitation Data for 223 Former-USSR Stations (NDP-040)".  United States.  doi:https://doi.org/10.3334/CDIAC/cli.ndp040.  https://www.osti.gov/servlets/purl/1394937. Pub date:Mon Jan 01 00:00:00 EST 2018

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@article{osti_1394937,

  title        = {Daily Temperature and Precipitation Data for 223 Former-USSR Stations (NDP-040)},

  author       = {Razuvaev, V. N. and Apasova, E. B. and Martuganov, R. A.},

  abstractNote = {The stations in this dataset are considered by RIHMI to comprise one of the best networks suitable for temperature and precipitation monitoring over the the former-USSR. Factors involved in choosing these 223 stations included length or record, amount of missing data, and achieving reasonably good geographic coverage. There are indeed many more stations with daily data over this part of the world, and hundreds more station records are available through NOAA's Global Historical Climatology Network - Daily (GHCND) database. The 223 stations comprising this database are included in GHCND, but different data processing, updating, and quality assurance methods/checks mean that the agreement between records will vary depending on the station. The relative quality and accuracy of the common station records in the two databases also cannot be easily assessed. As of this writing, most of the common stations contained in the GHCND have more recent records, but not necessarily records starting as early as the records available here. This database contains four variables: daily mean, minimum, and maximum temperature, and daily total precipitation (liquid equivalent). Temperature were taken three times a day from 1881-1935, four times a day from 1936-65, and eight times a day since 1966. Daily mean temperature is defined as the average of all observations for each calendar day. Daily maximum/minimum temperatures are derived from maximum/minimum thermometer measurements. See the measurement description file for further details. Daily precipitation totals are also available (to the nearest tenth of a millimeter) for each station. Throughout the record, daily precipitation is defined as the total amount of precipitation recorded during a 24-h period, snowfall being converted to a liquid total by melting the snow in the gauge. From 1936 on, rain gauges were checked several times each day; the cumulative total of all observations during a calendar day was presumably used as the daily total. Again, see the measurement description file for further details. For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/ndps/ndp040.html},

  doi          = {10.3334/CDIAC/cli.ndp040},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Jan 01 00:00:00 EST 2018},

  month        = {Mon Jan 01 00:00:00 EST 2018}

}

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DOI: https://doi.org/10.3334/CDIAC/cli.ndp040

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