Statistical data of water consumption in Qinghai Tibet Plateau from 2004 to 2016- A Big Earth Data Platform for Three Poles

1. The data content includes: year, month, day, hour, longitude, latitude, altitude, meridional (UQ) and latitudinal (VQ) components of water vapor flux;

2. Data source and processing method: GPS meteorological sounding data of voyages in the eastern Indian Ocean, and calculate water vapor flux through relative humidity, wind field, air pressure and altitude;

3. Data quality description: vertical continuous observation with 1 second vertical resolution;

4. Data application achievements and prospects: Study on the changes of water vapor transport in the tropical Indian Ocean;

File naming and required software

File name: the water vapor flux data is stored in text format. The file name is "yyyymmddhh. TXT. TXT", in which yyyy represents year, mm represents month, DD represents date and HH represents hour. For example, 2020092114.txt.txt represents this ASCII file to describe the observation status of Indian Ocean Station at 14:00 on September 21, 2020
Data reading method: all ASCII files in the data set can be opened directly with text programs (such as Notepad). The data content includes: year, month, day, hour, longitude, latitude, altitude, longitude (UQ) and latitude (VQ) components of water vapor flux

Data Citations Data citation guideline What's data citation?

Cite as:

Liu, Z., Yao, Z. (2021). Statistical data of water consumption in Qinghai Tibet Plateau from 2004 to 2016. A Big Earth Data Platform for Three Poles, (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)

Second Tibetan Plateau Scientific Expedition Program

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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