Central Asia Great Lakes database - barometric pressure (2021)- A Big Earth Data Platform for Three Poles

Data content: atmospheric pressure data of Nukus irrigation area from January 2021 to December 2021, unit: PA.

Data source and processing method: this data is collected from the automatic groundwater monitoring station in Nukus irrigation area.

Data quality description: this data is site data with a time resolution of 3 hours.

Data application achievements and prospects: in the context of climate change, it can be used to analyze the correlation between meteorological elements and groundwater characteristics, and can also be combined with other hydrometeorological data to analyze the temporal and spatial distribution and change characteristics of groundwater. At the same time, it can also be used as basic data for research in related fields such as extreme climate, food production reduction and human health.

File naming and required software

File name: the atmospheric pressure data is stored in xlsx format, including station name, date, probe depth and air temperature (PA).
Data reading method: the data can be read directly by Excel.

Data Citations Data citation guideline What's data citation?

Cite as:

Liu, T. (2022). Central Asia Great Lakes database - barometric pressure (2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272601. CSTR: 18406.11.Atmos.tpdc.272601. (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

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)