MA Yaoming. Meteorological observation data of Everest integrated atmospheric and environmental observation research station (2017-2018). A Big Earth Data Platform for Three Poles, 2020. doi: 10.11888/Meteoro.tpdc.270315. (Download the reference： RIS | Bibtex )Related Literatures:
1. Ma, Y.M., Kang, S.C., Zhu, L.P., Xu, B.Q., Tian, L.D., & Yao, T.D. (2008). Tibetan Observation and Research Platform- Atmosphere–land interaction over a heterogeneous landscape, Bulletin of the American Meteorological Society. 89, 1487–1492. doi:10.1175/2008BAMS2545.1.( View Details | Bibtex)
2. Ma, Y.M., (2007). An introduction to atmospheric and environmental comprehensive observation and research station on mt. qomolangma,chinese academy of sciences(aecorsq,cas):a new base for the study of atmosphere-land interaction over the himalaya area. Plateau Meteorology. 26(6),1141-1145( View Details | Bibtex)
3. Ma, Y., Wang, Y., Wu, R., Hu, Z., Yang, K., & Li, M., et al. (2009). Recent advances on the study of atmosphere-land interaction observations on the Tibetan Plateau. Hydrology and Earth System Sciences, 13(7), 1103-1111.( View Details | Bibtex)
4. Ma, Y.M., Ma, W.Q., Zhong, L., Hu, Z., Li, M., Zhu, Z., et al. (2017). Monitoring and Modeling the Tibetan Plateau’s climate system and its impact on East Asia, Scientific Reports, 7, 44574, doi:10.1038/srep44574.( View Details | Bibtex)
5. Ma, Y.M., Zhong, L., Wang, B.B., Ma, W.Q., Chen, X.L., & Li, M. (2011). Determination of land surface heat fluxes over heterogeneous landscape of the Tibetan Plateau by using the MODIS and in-situ data. Atmospheric Chemistry and Physics, 11, 10461–10469. doi:10.5194/acp-11-10461-2011( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
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10.HiWATER: Dataset of flux observation matrix (eddy covariance system of Zhangye wetland Station) of the MUlti-Scale Observation EXperiment on Evapotranspiration over heterogeneous land surfaces 2012 (MUSOEXE-12)
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|East: 86.95||West: 86.95|
|South: 28.36||North: 28.36|
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