The stable oxygen isotope data of daily precipitation in Lulang, Nuxia, and Guangzhou (2007-2014)- A Big Earth Data Platform for Three Poles

This data set contains stable oxygen isotope data of daily precipitation in Lulang, Nuxia, and Guangzhou from 2007 to 2014. The precipitation data of the Lulang station are obtained via automatic weather station (AWS) rain gauges, and the precipitation data for Guangzhou and Nuxia are the manual records of meteorological or hydrological stations.

Project source of the data: the general project of the National Natural Science Foundation of China “Exploring the impact of ENSO on the source of water vapor in the north and south of the ‘third pole' through stable isotope of precipitation and ice core” (41571074).

Data processing related information can be found in the following reference: Yang, X, Mary E. Davis, Sunil Acharya, Tandong Yao. Asian Monsoon variations revealed from stable isotopes in precipitation. Climate Dynamics, 2017, doi:10.1007/s00382-017-4011 -4.

Data collection sites:

Lulang Station of Southeast Tibet, Chinese Academy of Sciences, Longitude: 94.73°E; Latitude: 29.77°N; Altitude: 3330 m.

Guangzhou weather station, longitude: 113.32 °E; latitude: 23.13 ° N; altitude: 7 meters.

Nuxia hydrological station, longitude: 94.65 °E; latitude: 29.47 ° N; elevation: 2920 m.

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Cite as:

Yang, X. (2018). The stable oxygen isotope data of daily precipitation in Lulang, Nuxia, and Guangzhou (2007-2014). A Big Earth Data Platform for Three Poles, DOI: 10.11888/AtmosPhys.tpe.249477.db. CSTR: 18406.11.AtmosPhys.tpe.249477.db. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Yang, X.X., Yao, T.D., Yang, W.L., Xu, B.Q., He, Y., &Qu, D.M. (2012). Isotopic signal of earlier summer monsoon onset in the Bay of Bengal. Journal of Climate, 25(7), 2509-2516.( View Details | Download | Bibtex)

2. Yang, X.X., Davis, M.E., Acharya, S., &Yao, T.D. (2018). Asian Monsoon variations revealed from stable isotopes in precipitation. Climate Dynamics, 51, 2267-2283.( View Details | Download | Bibtex)

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

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. Contact: Xiaoxin Yang, Email: xxy@itpcas.ac.cn, Tel: 010-84097123.

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