Temperature and precipitation data at meteorological stations in five Central Asian countries (1980-2015)- A Big Earth Data Platform for Three Poles

The data set covers 599 meteorological stations in five Central Asian countries, including the following elements: * daily maximum temperature, * daily minimum temperature, * observed temperature, * Precipitation (i.e. rain, melting snow), covering the following dates: 1980-1986; 1996-2005; 2010; 2014; 2015

The data comes from ghcn-d, a data set containing global land area daily observation data, which integrates climate records.

The data is a direct measurement of surface temperature, without interpolation or model assumptions, and contains many long-term site records. The disadvantage is uneven space coverage. Due to changes in observation time, site location, and the type of thermometer used, the records contain many heterogeneity.

For more information about this dataset, see https://www.ncdc.noaa.gov/ghcnd-data-access

File naming and required software

The following information serves as a definition of each field in one line of data covering one station-day. Each field described below is separated by a comma ( , ) and follows the order
presented in this document.

ID = 11 character station identification code
YEAR/MONTH/DAY = 8 character date in YYYYMMDD format (e.g. 19860529 = May 29, 1986)
ELEMENT = 4 character indicator of element type
DATA VALUE = 5 character data value for ELEMENT
M-FLAG = 1 character Measurement Flag
Q-FLAG = 1 character Quality Flag
S-FLAG = 1 character Source Flag
OBS-TIME = 4-character time of observation in hour-minute format (i.e. 0700 =7:00 am)

For more information on this data set, please visit the GHCN Daily Website http://www.ncdc.noaa.gov/oa/climate/ghcn-daily/

Data Citations Data citation guideline What's data citation?

Cite as:

(2019). Temperature and precipitation data at meteorological stations in five Central Asian countries (1980-2015). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Geogra.tpdc.271006. CSTR: 18406.11.Geogra.tpdc.271006. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Menne, M.J., Durre, I., Korzeniewski, B., McNeal, S., Thomas, K., Yin, X., Anthony, S., Ray, R., Vose, R.S., Gleason, B.E., and Houston, T.G. (2012). Global Historical Climatology Network - Daily (GHCN-Daily), Version 3. [indicate subset used following decimal, e.g. Version 3.12].( View Details | Bibtex)

2. Menne, M.J., I. Durre, R.S. Vose, B.E. Gleason, and T.G. Houston, 2012: An overview of the Global Historical Climatology Network-Daily Database. Journal of Atmospheric and Oceanic Technology, 29, 897-910, doi.10.1175/JTECH-D-11-00103.1.( View Details | Bibtex)

3. Durre I., M. J. B.E. Gleason, T. G. Houston, and R. S. Vose, 2010: Comprehensive automated quality assurance of daily surface observations. J. Applied Meteor. and Climatol., 49, 1615-1633, doi.10.1175/2010JAMC2375.1( View Details | Bibtex)

4. Durre, I., M.J. Menne, and R.S. Vose, 2008: Strategies for evaluating quality assurance procedures. Journal of Applied Meteorology and Climatology, 47, 1785–1791, doi:10.1175/2007JAMC1706.1.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)