Aeolian observation data in the Ulanbh Desert and in the Kubuqi desert (2011-2012)- A Big Earth Data Platform for Three Poles

I. overview

The data set includes wind and sand activity data of Ulanbuh Desert and Kubuqi Desert along the upper Yellow River from April to May 2011 and April 2012, mainly including wind speed profile, surface roughness, wind-sand flow structure, sand transport rate data under different vegetation coverage and different parts of sand dunes.

II. Data Processing Instructions

The wind speed and direction are observed by 014A wind speed sensor 024A wind direction sensor and CR200 data acquisition instrument produced by MetOne company, and the sediment transport amount is observed by stepped sediment collection instrument.

III. Description of Data Content

The data are stored in EXCEL table, mainly including wind speed profile, surface roughness, wind-sand flow structure and sand transport rate data under different vegetation coverage.

IV. Data Usage Instructions

This paper evaluates the sandstorm hazards along the Yellow River, estimates the amount of sandstorm entering the Yellow River in the upper reaches of the Yellow River, and provides data support for the establishment of an early warning system for sandstorm hazards in the region.

File naming and required software

Data is stored in Excel form and can be opened and read by office, WPS and other office software

Data Citations Data citation guideline What's data citation?

Cite as:

Xue, X., Du, H. (2015). Aeolian observation data in the Ulanbh Desert and in the Kubuqi desert (2011-2012). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270585. CSTR: 18406.11.Meteoro.tpdc.270585. (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

the National Basic Research Program of China (No:2011CB403006)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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