This data is conventional and satellite data of six hour resolution for the Great Lakes region of Central Asia. The conventional data include the observation of ground stations and sounding stations in the Great Lakes region of Central Asia and its surrounding areas (China, Kazakhstan, Kyrgyzstan, Turkmenistan, Tajikistan, Uzbekistan, Afghanistan, Russia, Iran, Pakistan, India, etc.), and the observation elements include temperature, pressure, wind speed and humidity, with the average number of stations in each time It is about 600, and the interval between stations is between 10-100km; the satellite data comes from the cloud guide wind retrieved by polar orbiting satellites (NOAA series and MetOp Series). All the data are from the global telecommunication system (GTS), and the observation data with poor quality are eliminated through quality control. The data can be applied to the data assimilation of the Great Lakes region in Central Asia, and also to the numerical simulation of the Great Lakes region in Central Asia.

File naming and required software

File name: the data is stored in the format of NetCDF. The file name is "obs_type_yyyy-mm-dd_hh.nc", where type represents the observation type. Synop represents the ground station observation; sound represents the sounding station observation; geoamv represents the AMV retrieved by the satellite.; yyyy represents the year; mm represents the month; dd represents the day, and hh represents the hour.
Data reading method: the data is a self describing file, which can be opened and viewed with software supporting NetCDF format.

Data Citations Data citation guideline What's data citation?

Cite as:

Yao, Y. (2020). Conventional and satellite meteorological data in Central Asia (2017). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270346. CSTR: 18406.11.Meteoro.tpdc.270346. (Download the reference： RIS | 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

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