祁连山综合观测网:黑河流域地表过程综合观测网(景阳岭站自动气象站-2019)

Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (automatic weather station of Jingyangling station, 2019)


该数据集包含了2019年1月1日至2019年12月31日黑河流域地表过程综合观测网上游景阳岭站气象要素观测数据。站点位于青海省祁连县景阳岭垭口,下垫面是高寒草甸。观测点的经纬度是101.1160E, 37.8384N,海拔3750m。空气温度、相对湿度传感器架设在5m处,朝向正北;气压计安装在地面上的防撬箱内;翻斗式雨量计安装在10m处;风速与风向传感器架设在10m,朝向正北;四分量辐射仪安装在6m处,朝向正南;两个红外温度计安装在6m处,朝向正南,探头朝向是垂直向下;土壤温度探头埋设在地表0cm和地下4cm、10cm、20cm、40cm、80cm、120cm、160cm处,在距离气象塔2m的正南方;土壤水分探头埋设在地下4cm、10cm、20cm、40cm、80cm、120cm、160cm处,在距离气象塔2m的正南方;土壤热流板(3块)依次埋设在地下6cm处,在距离气象塔2m的正南方。

观测项目有:空气温湿度(Ta_5m、RH_5m)(单位:摄氏度、百分比)、气压(Press)(单位:百帕)、降水量(Rain)(单位:毫米)、风速(WS_10m)(单位:米/秒)、风向(WD_10m)(单位:度)、四分量辐射(DR、UR、DLR_Cor、ULR_Cor、Rn)(单位:瓦/平方米)、地表辐射温度(IRT_1、IRT_2)(单位:摄氏度)、土壤热通量(Gs_1、Gs_2、Gs_3)(单位:瓦/平方米)、土壤温度(Ts_0cm、Ts_4cm、Ts_10cm、Ts_20cm、Ts_40cm、Ts_80cm、Ts_120cm、Ts_160cm)(单位:摄氏度)、土壤水分(Ms_4cm、Ms_10cm、Ms_20cm、Ms_40cm、Ms_80cm、Ms_120cm、Ms_160cm)(单位:百分比)。

观测数据的处理与质量控制:(1)确保每天144个数据(每10min),若出现数据的缺失,则由-6999标示;由于雪覆盖太阳能板引起供电不足,导致2.3-3.18间数据缺失;由于传感器问题,6.6-6.20、6.22-7.30风速风向出现较多NAN无效值,9-10月四分量向上短波辐射数据出错。(2)剔除有重复记录的时刻;(3)删除了明显超出物理意义或超出仪器量程的数据;(4)数据中以红字标示的部分为有疑问的数据;(5)日期和时间的格式统一,并且日期、时间在同一列。如,时间为:2019-9-10 10:30;(6)命名规则为:AWS+站点名称。

黑河综合观测网或站点信息请参考Liu et al. (2018)和Che et al. (2019),观测数据处理请参考Liu et al. (2011)。


数据使用方法

年份+**观测网+站点名称+AWS


本数据要求的引用方式
文章的引用

1. 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. doi:10.5194/hess-15-1291-2011.(查看)

2. 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.(查看)

3. Che, T., Li, X., Liu, S., Li, H., Xu, Z., Tan, J., Zhang, Y., Ren, Z., Xiao, L., Deng, J., Jin, R., Ma, M., Wang, J., & Yang, X. (2019). Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China. Earth System Science Data, 11, 1483-1499(查看)

数据的引用

刘绍民, 车涛, 徐自为, 张阳, 谭俊磊, 任志国. (2020). 祁连山综合观测网:黑河流域地表过程综合观测网(景阳岭站自动气象站-2019). 国家青藏高原科学数据中心, 2020. doi: 10.11888/Meteoro.tpdc.270682.
[Liu, S., Che, T., Xu, Z., Zhang, Y., Tan, J., Ren, Z. (2020). Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (automatic weather station of Jingyangling station, 2019). National Tibetan Plateau Data Center, 2020]

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

参考文献

1.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. doi:10.1016/j.agrformet.2016.04.008.( 查看 )

2.Song, L.S., Liu, S.M., Kustas WP, 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 )

3.Song, L.S., Kustas WP, Liu, S.M., Colaizzi PD, Nieto, H., Xu, Z.W., Ma, Y.F., Li, M.S., Xu, T.R., Agam, N., Tolk, J., & Evett, S. (2016). Applications of a thermal-based two-source energy balance model using Priestley-Taylor approach for surface temperature partitioning under advective conditions. Journal of Hydrology, 540(540), 574-587.( 查看 | 下载 )

4.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 )

5.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. doi:10.1109/LGRS.2014.2326180.( 查看 )

6.Wang, J.M., Zhuang, J.X., Wang, W.Z., Liu, S.M., &Xu, Z.W. (2015). Assessment of uncertainties in eddy covariance flux measurement based on intensive flux matrix of HiWATER-MUSOEXE. IEEE Geoscience and Remote Sensing Letters, 12(2), 259-263.( 查看 )

7.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. doi:10.1109/LGRS.2014.2339360.( 查看 )

8.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. doi:10.1109/LGRS.2014.2342219.( 查看 )

9.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. doi:10.1109/LGRS.2014.2346784.( 查看 )

10.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 )

11.Ma, Y.F., Liu, S.M., Zhang, F., Zhou, J., &Jia, Z.Z. (2015). Estimations of regional surface energy fluxes over heterogeneous oasis-desert surfaces in the middle reaches of the Heihe River during HiWATER-MUSOEXE. IEEE Geoscience and Remote Sensing Letters, 12(3), 671-675.( 查看 )

12.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 )

13.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. Sci. China Earth Sci., 58(2), 211-230. doi: 10.1007/s11430-014-4964-7.( 查看 | 下载 )

14.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 )

15.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(3). doi:10.1371/journal.pone.0120660.( 查看 )

16.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 )

17.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 )

18.Zhou, J., Li, M.S., Liu, S.M., Jia, Z.Z., Ma, Y.F. (2015). Validation and performance evaluations of methods for estimating land surface temperatures from ASTER data in the middle reach of the Heihe River Basin, Northwest China. Remote Sensing, 7, 7126-7156.( 查看 )

19.Gao, S.G., Zhu, Z.L., Liu, S.M., Jin, R., Yang, G.C., Tan, L. (2014). Estimating spatial distribution of soil moisture based on Bayesian maximum entropy method with auxiliary data from remote sensing. International Journal of Applied Earth Observation and Geoinformation, 32, 54-66. doi:10.1016/j.jag.2014.03.003.( 查看 )

20.Li, Y., Sun, R., Liu, S.M. (2014).Vegetation Physiological Parameters Setting in the Simple Biosphere Model 2 (SiB2) for alpine meadows in upper reaches of Heihe River. SCIENCE CHINA, doi:10.1007/s11430-014-4909-1.( 查看 )

21.Xu, Z.W., Liu, S.M., Li, X., Shi, S.J., Wang, J.M., Zhu, Z.L., Xu, T.R., Wang, W.Z., &Ma, M.G. (2013). Intercomparison of surface energy flux measurement systems used during the HiWATER-MUSOEXE. Journal of Geophysical Research, 118, 13140-13157.( 查看 | 下载 )

22.Liu, S.M., Xu, Z.W., Zhu, Z.L., Jia, Z.Z., & Zhu, M.J. (2013). Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River Basin, China. Journal of Hydrology, 487, 24-38.( 查看 | 下载 )

23.Xu, T.R., Guo, Z.X., Liu, S.M., He, X.L., Meng, Y.F.Y., Xu, Z.W., Xia, Y.L., Xiao, J.F., Zhang, Y., Ma, Y.F, Song, L.S. (2018). Evaluating Different Machine Learning Methods for Upscaling Evapotranspiration from Flux Towers to the Regional Scale. Journal of Geophysical Research: Atmospheres, 123(16), 8674-8690. doi: 10.1029/2018JD028447.( 查看 )

24.Liu, R., Liu, S.M., Yang, X.F., Lu, H, Pan, X.D., Xu, Z.W., Ma, Y.F., Xu,T.R. (2018). Wind dynamics over a highly heterogeneous oasis area: An experimental and numerical study. Journal of Geophysical Research: Atmospheres. 123, 8418-8440.( 查看 )

25.Ma, Y.F., Liu, S.M., Song, L.S., Xu, Z.W., Liu, Y.L., Xu, T.R., Zhu, Z.L. (2018). Estimation of daily evapotranspiration and irrigation water efficiency at a Landsat-like scale for an arid irrigation area using multi-source remote sensing data. Remote Sensing of Environment, 216, 715-734. doi:10.1016/j.rse.2018.07.019.( 查看 )

26.Li, X., Liu, S.M., Li, H.X., Ma, Y.F., Wang, J.H., Zhang, Y., Xu, Z.W., Xu, T.R., Song, L.S., Yang, X.F., Lu, Z., Wang, Z.Y., Guo, Z.X. (2018). Intercomparison of six upscaling evapotranspiration methods: From site to the satellite pixel. Journal of Geophysical Research: Atmospheres, 123(13), 6777-6803. https://doi.org/10.1029/2018JD028422.( 查看 )

27.Song, L.S., Liu, S.M., William P, K., Hector, N., Sun, L., Xu, Z.W., Todd H, S., Yang, Y., Ma, M.G., Xu, T.R., Tang, X.G., Li, Q.P. (2018). Monitoring and validating spatially and temporally continuous daily evaporation and transpiration at river basin scale. Remote Sensing of Environment, 219, 72–88. doi: 10.1016/j.rse.2018.10.002.( 查看 )

28.Xu, T.R., He, X.L., Bateni, S.M., Auligne, T., Liu, S.M., Xu, Z.W., Zhou, J., Mao, K.B. (2019). Mapping Regional Turbulent Heat Fluxes via Variational Assimilation of Land Surface Temperature Data from Polar Orbiting Satellites. Remote Sensing of Environment, 221, 444-461, doi.org/10.1016/j.rse.2018.11.023( 查看 )

29.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 )

30.Song, L.S., Bian, Z.J., William P, K., Liu, S.M., Xiao, Q., Hector, N, Xu, Z.W., Yang, Y., Xu, T.R., Han, X.J. (2020). Estimation of surface heat fluxes using multi-angular observations of radiative surface temperature. Remote sensing of Environment, 239, 111674.( 查看 )

31.Ruehr, S., Lee, X.H., Smith, R., Li, X., Xu, Z.W., Liu, S.M., Yang, X.F., Zhou,Y.Z. (2020). A mechanistic investigation of the oasis effect in the Zhangye cropland in semiarid western China. Journal of Arid Environments. 176, 104120.( 查看 )

32.Xu, Z.W., Liu, S.M., Zhu, Z.L., Zhou, J., Shi, W.J., Xu, T.R., Yang, X.F., Zhang, Y., He,X.L. (2020). Exploring evapotranspiration changes in a typical endorheic basin through the integrated observatory network. Agricultural and Forest Meteorology. 290, 108010.( 查看 )

33.Liu, R., Sogachev, A., Yang, X.F., Liu, S.M., Xu, T.R., Zhang, J.J. (2020). Investigating microclimate effects in an oasis-desert interaction zone. Agricultural and Forest Meteorology, 290, 107992( 查看 )


使用条款

为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力,请数据使用者在使用数据所产生的研究成果中(包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果),明确注明数据来源和数据作者。对于转载(二次或多次发布)的数据,作者还须注明原始数据来源。

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



资助项目

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

相关资源

1. 2022-04-06 河海大学 代阳 用途:进行实验研究验证,谢谢

2. 2022-04-01 中国地质大学(北京) 刘国楷 用途:本人为大四学生,现已推免为中国科学院大学空天信息创新研究院的直博生,因本科毕业论文需要验证青藏高原反照率产品精度,故申请站点辐射表观测数据。依托项目:中国科学院大学生创新实践训练计划

3. 2022-04-01 中国地质大学(北京) 刘国楷 用途:本人为大四学生,现已推免为中国科学院大学空天信息创新研究院的直博生,因本科毕业论文需要验证青藏高原反照率产品精度,故申请站点辐射表观测数据。依托项目:中国科学院大学生创新实践训练计划

4. 2022-03-28 兰州大学资源环境学院 杨文静 用途:论文撰写,感谢

5. 2022-03-28 兰州大学资源环境学院 杨文静 用途:论文撰写,感谢

6. 2022-03-19 中国科学院空天信心创新研究院 薛亚楠 用途:科研使用

7. 2022-01-29 北京师范大学 王阳 用途:用于基金委青年基金申请

8. 2022-01-26 南京大学大气科学学院 罗江鑫 用途:博士学位论文撰写

9. 2022-01-17 清华大学水利系 张才金 用途:用于草地蒸散验证

10. 2022-01-07 天津大学 买买 用途:硕士论文撰写:不同陆地生态系统蒸散发影响因素辨识。导师:天津大学 王铁军

11. 2022-01-07 天津大学 买买 用途:硕士论文撰写:不同陆地生态系统蒸散发影响因素辨识。导师:天津大学 王铁军

12. 2022-01-07 天津大学 买买 用途:硕士论文撰写:不同陆地生态系统蒸散发影响因素辨识。导师:天津大学 王铁军

13. 2022-01-07 天津大学 买买 用途:硕士论文撰写:不同陆地生态系统蒸散发影响因素辨识。导师:天津大学 王铁军

14. 2022-01-07 天津大学 买买 用途:硕士论文撰写:不同陆地生态系统蒸散发影响因素辨识。导师:天津大学 王铁军

15. 2022-01-07 天津大学 买买 用途:硕士论文撰写:不同陆地生态系统蒸散发影响因素辨识。导师:天津大学 王铁军

16. 2022-01-06 兰州理工大学 周孝明 用途:黑河流域水文生态研究

17. 2022-01-06 兰州理工大学 周孝明 用途:黑河流域水文生态研究

18. 2021-12-31 中国农业科学院农业资源与农业区划研究所 练义华 用途:根据申请的数据集获取站点地表温度,以该温度作为参考真值进行机器学习或者深度学习训练,以及用该地表温度进行精度评价。用于硕士论文(中国农业科学农业资源与农业区划研究所),论文题目为基于AMSR-2的无缝地表温度生产方法研究,导师为段四波。

19. 2021-12-31 None 徐富宝 用途:用于验证地表温度反演结果

20. 2021-12-30 中国地质大学北京 王晓书 用途:毕业论文

数据评论

登录 后可以添加数据评论。

关注
关键词
空间位置
East: 101.12 West: 101.12
South: 37.84 North: 37.84
数据细节
  • 时间分辨率:Hourly
  • 空间分辨率:-
  • 大小:10.9 MB
  • 浏览:2412 次
  • 下载量:157 次
  • 数据时间范围:2019-01-14 至 2020-01-13
  • 共享方式: 申请获取
  • 元数据更新时间:2021-04-19
联系信息

刘绍民、 车涛、 徐自为、 张阳、 谭俊磊、 任志国

分发方: 时空三极环境大数据平台

Email: poles@itpcas.ac.cn

导出元数据