年份+**观测网+站点名称+EC
1. Liu, S.M., Li, X., Xu, Z.W., Che, T., Xiao, Q., Ma, M.G., Liu, Q.H., Jin, R., Guo, J.W., Wang, L.X., Wang, W.Z., Qi, Y., Li, H.Y., Xu, T.R., Ran, Y.H., Hu, X.L., Shi, S.J., Zhu, Z.L., Tan, J.L., Zhang, Y., & Ren, Z.G. (2018). The Heihe Integrated Observatory Network: A Basin-Scale Land Surface Processes Observatory in China. Vadose Zone Journal, 17(1), 180072. doi:10.2136/vzj2018.04.0072.(查看)
2. Liu, S.M., Xu, Z.W., Wang, W.Z., Bai, J., Jia, Z., Zhu, M., &Wang, J.M. (2011). A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem. Hydrology and Earth System Sciences, 15(4), 1291-1306.(查看)
数据的引用
刘绍民, 李新, 车涛, 徐自为, 任志国, 谭俊磊. (2019). 祁连山综合观测网:黑河流域地表过程综合观测网(大满超级站涡动相关仪-2018). 国家青藏高原科学数据中心, 2019. doi:
10.11888/Meteoro.tpdc.270774.
[Liu, S., Li, X., Che, T., Xu, Z., Ren, Z., Tan, J. (2019). Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (eddy covariance system of Daman Superstation, 2018). National Tibetan Plateau Data Center, 2019]
使用本数据时必须引用“文章的引用”中列出的文献,并进行数据的引用
1.Xu, Z.W., Ma, Y.F., Liu, S.M., Shi, S.J., &Wang, J.M. (2017). Assessment of the energy balance closure under advective conditions and its impact using remote sensing data. Journal of Applied Meteorology and Climatology, 56, 127-140.( 查看 | 下载 )
2.Liu, S.M., Xu, Z.W., Song, L.S., Zhao, Q.Y., Ge, Y., Xu, T.R., Ma, Y.F., Zhu, Z.L., Jia, Z.Z., &Zhang, F. (2016). Upscaling evapotranspiration measurements from multi-site to the satellite pixel scale over heterogeneous land surfaces. Agricultural and Forest Meteorology, 230-231, 97-113.( 查看 | 下载 )
3.Song, L.S., Liu, S.M., Kustas, W.P., Zhou, J., Xu, Z.W., Xia, T., & Li, M.S. (2016). Application of remote sensing-based two-source energy balance model for mapping field surface fluxes with composite and component surface temperatures. Agricultural and Forest Meteorology, 230-231, 8-19.( 查看 | 下载 )
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5.Zhang, Q., Sun, R., Jiang, G.Q., Xu, Z.W., & Liu, S.M. (2016). Carbon and energy flux from a Phragmites australis wetland in Zhangye oasis-desert area, China. Agricultural and Forest Meteorology, 230-231, 45-57.( 查看 | 下载 )
6.Xu, T.R., Bateni, S.M., & Liang, S.L. (2015). Estimating turbulent heat fluxes with a weak-constraint data assimilation scheme: A case study (HiWATER-MUSOEXE). IEEE Geoscience and Remote Sensing Letters, 12(1), 68-72.( 查看 | 下载 )
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8.Song, L.S., Liu, S.M., Zhang, X., Zhou, J., & Li, M.S. (2015). Estimating and Validating Soil Evaporation and Crop Transpiration During the HiWATER-MUSOEXE. IEEE Geoscience and Remote Sensing Letters, 12(2), 334-338.( 查看 | 下载 )
9.Qiao, C., Sun, R., Xu, Z.W., Zhang, L., Liu, L.Y., Hao, L.Y., &Jiang, G.Q. (2015). A study of shelterbelt transpiration and cropland evapotranspiration in an irrigated area in the middle reaches of the Heihe River in northwestern China. IEEE Geoscience and Remote Sensing Letters, 12(2), 369-373.( 查看 | 下载 )
10.Zhu, Z.L., Tan, L., Gao, S.G., &Jiao, Q.S. (2015). Oberservation on soil moisture of irrigated cropland by cosmic-ray probe. IEEE Geoscience and Remote Sensing Letters, 12(3), 472-476.( 查看 | 下载 )
11.Ge, Y., Liang, Y.Z., Wang, J.H., Zhao, Q.Y., &Liu, S.M. (2015). Upscaling sensible heat fluxes with area-to-area regression kriging. IEEE Geoscience and Remote Sensing Letters, 12(3), 656-660.( 查看 | 下载 )
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13.Bai, J., Jia, L., Liu, S., Xu, Z., Hu, G., Zhu, M., &Song, L. (2015). Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes. IEEE Geoscience and Remote Sensing Letters, 12(5), 943-947.( 查看 | 下载 )
14.Xu, T.R., Liu, S.M., Xu, Z.W., Liang, S.L., &Xu, L. (2015). A dual-pass data assimilation scheme for estimating surface fluxes with FY3A-VIRR land surface temperature. Science China Earth Science, 58(2), 211-230.( 查看 | 下载 )
15.Xu, T., Liu, S., Xu, L., Chen ,Y., Jia, Z., Xu, Z., &Nielson, J. (2015). Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration. Remote Sensing, 7(3), 3400-3425.( 查看 | 下载 )
16.Zhang, L., Sun, R., Xu, Z.W., Qiao, C., &Jiang, G.Q. (2015). Diurnal and Seasonal Variations in Carbon Dioxide Exchange in Ecosystems in the Zhangye Oasis Area, Northwest China. PLOS ONE, 10(6).( 查看 | 下载 )
17.Song, L.S., Liu, S.M., William Kustas, P., Zhou, J., &Ma, Y.F. (2015). Using the Surface Temperature-Albedo Space to Separate Regional Soil and Vegetation Temperatures from ASTER Data. Remote Sensing, 7(5), 5828-5848.( 查看 | 下载 )
18.Hu, M.G., Wang, J.H., Ge, Y., Liu, M.X., Liu, S.M., Xu, Z.W., &Xu, T.R. (2015). Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging. Atmosphere, 6(8), 1032-1044.( 查看 | 下载 )
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泛第三极环境变化与绿色丝绸之路建设专项
陆表遥感产品真实性检验中的关键理论与方法研究
1. 黑河生态水文遥感试验:水文气象观测网数据集(裸地站自动气象站-2013)
2. 祁连山综合观测网:黑河流域地表过程综合观测网(混合林站涡动相关仪-2018)
3. 黑河生态水文遥感试验:水文气象观测网数据集(景阳岭站自动气象站-2014)
4. 祁连山综合观测网:黑河流域地表过程综合观测网(大满超级站气象要素梯度观测系统-2019)
7. 祁连山综合观测网:青海湖流域地表过程综合观测网(亚高山灌丛涡动相关仪-2020)
1. 2022-04-06 武汉大学 张艺潇 用途:进行蒸散发验证
2. 2022-03-13 西南大学 陶思诺 用途:科研验证
3. 2022-03-13 西南大学 陶思诺 用途:科研验证
4. 2022-02-24 武汉大学 钟雯 用途:硕士研究生学术研究
5. 2022-02-24 武汉大学 钟雯 用途:硕士学术研究
6. 2022-02-18 天津大学 买买 用途:硕士论文撰写
7. 2022-02-11 中国农业科学院农业资源与农业区划研究所 刘萌 用途:用于农田蒸散发估算及验证
8. 2022-01-24 中科院空天院 李丽 用途:验证数据
9. 2022-01-24 中科院空天院 李丽 用途:验证数据
10. 2022-01-19 天津大学 买买 用途:硕士论文撰写
11. 2022-01-18 中国科学院大学 胡容海 用途:遥感反演数据验证
12. 2022-01-13 None 李丽 用途:碳循环模型研究
13. 2021-11-23 北京师范大学 缪驰远 用途:用于水文过程模拟与率定
14. 2021-10-30 中国水利水电科学研究院 刘宏鑫 用途:学习
15. 2021-10-22 兰州大学 徐聪 用途:申请的涡度和气象相关数据用于硕士论文《基于SIB2模拟的黑河流域蒸散发不同组分时空变化及其影响因素研究》,申请人徐聪,兰州大学,导师朱高峰。
16. 2021-09-25 兰州大学 邱中齐 用途:1、研究半干旱地区SW模型参数优化情况;2、西北地区农业生态系统的水碳平衡在现在以及未来的环境情况下的预测研究;3、通过涡度数据研究生态系统中,各成分的二氧化碳产生及吸收情况。
17. 2021-09-17 成都信息工程大学 黄奇峰 用途:硕士论文
18. 2021-09-15 无 道无却 用途:硕士论文
19. 2021-09-14 中国水利水电科学研究院 胡倩 用途:ET验证数据收集,需要黑河流域涡度数据和自动气象数据
20. 2021-09-12 内蒙古师范大学 周昊强 用途:祁连山区开展遥感光能利用率模型的算法优化,需要地面气象和涡度通量数据。将用于期刊论文和毕业论文。 内蒙古师范大学地理科学学院,导师:包刚,硕士生:周昊强
1.祁连山综合观测网:青海湖流域地表过程综合观测网(青海湖湖面涡动相关仪-2020)
4.祁连山综合观测网:兰州大学寒旱区科学观测网络CARN(瓜州站涡动相关仪-2020)
5.祁连山综合观测网:兰州大学寒旱区科学观测网络CARN(民勤站涡动相关仪-2020)
6.祁连山综合观测网:兰州大学寒旱区科学观测网络CARN(寺大隆站涡动相关仪-2020)
7.祁连山综合观测网:兰州大学寒旱区科学观测网络CARN(西营河站涡动相关仪-2020)
8.祁连山综合观测网:兰州大学寒旱区科学观测网络CARN(苏干湖站涡动相关仪-2020)
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