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黑河生态水文遥感试验:水文气象观测网数据集(上游阿柔超级站大孔径闪烁仪-2016)
HiWATER:Dataset of Hydrometeorological observation network (large aperture scintillometer of A’rou Superstation, 2016)


该数据集包含了黑河水文气象观测网上游阿柔站的大孔径闪烁仪通量观测数据。上游阿柔站分别架设了两台型号为BLS450和zzlas的大孔径闪烁仪,北塔为zzlas的接收端和BLS450的发射端,南塔为zzlas的发射端和BLS450的接收端。观测时间为2016年1月1日至2016年12月31日。站点位于青海省祁连县阿柔乡草达坂村,下垫面是高寒草地。北塔的经纬度是100.4712E,38.0568N,南塔的经纬度是100.4572E,38.0384N,海拔高度约3033m。大孔径闪烁仪的有效高度9.5m,光径长度是2390m,采样频率是1min。

大孔径闪烁仪原始观测数据为1min,发布的数据为经过处理与质量控制后的数据,其中感热通量主要是结合自动气象站观测数据,基于莫宁-奥布霍夫相似理论通过迭代计算得到,主要的质量控制步骤包括:(1)剔除Cn2达到饱和的数据(BLS450:Cn2>7.25E-14,zzlas:Cn2>7.84 E-14);(2)剔除解调信号强度较弱的数据(BLS450:Mininum X Intensity <50;zzlas:Demod>-20mv);(3)剔除降水时刻的数据;(4)剔除稳定条件下的弱湍流的数据(u*小于0.1m/s)。在迭代计算过程中,对于BLS450,选取Thiermann and Grassl(1992)的稳定度普适函数;对于zzlas,选取Andreas, 1988的稳定度普适函数。详细介绍请参考Liu et al(2011, 2013)。2016年10月1-12日由于两台闪烁仪测量信号偏小,导致数据缺失较多。

关于发布数据的几点说明:(1)上游LAS数据以BLS450为主,缺失时刻由zzlas观测补充,两者都缺失则以-6999标记。(2)数据表头:Date/Time :日期/时间(格式:yyyy/m/d h:mm),Cn2 :空气折射指数结构参数(单位:m-2/3),H_LAS :感热通量(单位:W/m2)。数据时间的含义,如0:30代表0:00-0:30的平均;数据以*.xls格式存储,详细信息请查参考文献。

水文气象网或站点信息请参考Li et al. (2013),观测数据处理请参考Liu et al. (2011)。


本数据要求的多篇文献引用

  1. Liu SM, Xu ZW, Wang WZ, Bai J, Jia Z, Zhu M, Wang JM. A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem. Hydrology and Earth System Sciences, 2011, 15(4): 1291-1306. doi:10.5194/hess-15-1291-2011.查看 下载
  2. Li X, Cheng GD, Liu SM, Xiao Q, Ma MG, Jin R, Che T, Liu QH, Wang WZ, Qi Y, Wen JG, Li HY, Zhu GF, Guo JW, Ran YH, Wang SG, Zhu ZL, Zhou J, Hu XL, Xu ZW. Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific objectives and experimental design. Bulletin of the American Meteorological Society, 2013, 94(8): 1145-1160, 10.1175/BAMS-D-12-00154.1.查看 下载

相关文献(作者推荐)

  1. Li X, Liu SM, Xiao Q, Ma MG, Jin R, Che T, Wang WZ, Hu XL, Xu ZW, Wen JG, Wang LX. A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system. Scientific Data, 2017, 4: 170083. doi:10.1038/sdata.2017.83.查看下载
  2. Xu ZW, Ma YF, Liu SM, Shi SJ, Wang JM. Assessment of the energy balance closure under advective conditions and its impact using remote sensing data. Journal of Applied Meteorology and Climatology, 2017, 56: 127-140, doi: 10.1175/JAMC-D-16-0096.1.查看下载
  3. Liu SM, Xu ZW, Song LS, Zhao QY, Ge Y, Xu TR, Ma YF, Zhu ZL, Jia ZZ, Zhang F. Upscaling evapotranspiration measurements from multi-site to the satellite pixel scale over heterogeneous land surfaces. Agricultural and Forest Meteorology, 2016, 230-231, 97-113. doi:10.1016/j.agrformet.2016.04.008.查看下载
  4. Song LS, Liu SM, Kustas W P, Zhou J, Xu ZW, Xia T, Li MS. 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, 2016, doi:10.1016/j.agrformet.2016.01.005.查看下载
  5. Song LS , Kustas WP, Liu SM, Colaizzi PD, Nieto H, Xu ZW, Ma YF, Li MS, Xu TR, Agam N, Tolk JA, Evett SR. Applications of a thermal-based two-source energy balance model using Priestley-Taylor approach for surface temperature partitioning under advective conditions. Journal of Hydrology, 2016, doi:10.1016/j.jhydrol.2016.06.034.查看下载
  6. Zhang Q, Sun R, Jiang GQ, Xu ZW, Liu SM. Carbon and energy flux from a Phragmites australis wetland in Zhangye oasis-desert area, China. Agricultural and Forest Meteorology, 2016, doi: 10.1016/j.agrformet.2016.02.019.查看下载
  7. Xu TR, Bateni S.M., Liang SL. Estimating turbulent heat fluxes with a weak-constraint data assimilation scheme: A case study (HiWATER-MUSOEXE). IEEE Geoscience and Remote Sensing Letters, 2015, 12 (1), 68-72.doi:10.1109/LGRS.2014.2326180查看下载
  8. Wang JM, Zhuang JX, Wang WZ, Liu SM, Xu ZW. Assessment of uncertainties in eddy covariance flux measurement based on intensive flux matrix of HiWATER-MUSOEXE. IEEE Geoscience and Remote Sensing Letters, 2015, 12 (2), 259-263. doi:10.1109/LGRS.2014.2334703查看下载
  9. Song LS, Liu SM, Zhang X, Zhou J, Li MS. Estimating and Validating Soil Evaporation and Crop Transpiration During the HiWATER-MUSOEXE. IEEE Geoscience and Remote Sensing Letters, 2015, 12 (2), 334-338. doi:10.1109/LGRS.2014.2339360查看下载
  10. Qiao C, Sun R, Xu ZW, Zhang L, Liu LY, Hao LY, Jiang GQ. 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, 2015, 12(2), 369-373. doi:10.1109/LGRS.2014.2342219查看
  11. Zhu ZL, Tan L, Gao SG, Jiao QS. Oberservation on soil moisture of irrigated cropland by cosmic-ray probe. IEEE Geoscience and Remote Sensing Letters, 2015, 12(3), 472-476.查看下载
  12. Ge Y, Liang YZ, Wang JH, Zhao QY, Liu SM. Upscaling sensible heat fluxes with area-to-area regression kriging.  IEEE Geoscience and Remote Sensing Letters, 2015, 12(3), 656-660.doi:10.1109/LGRS.2014.2355871查看下载
  13. Ma YF, Liu SM, Zhang F, Zhou J, Jia ZZ. 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, 2015, 12(3), 671-675. doi:10.1109/LGRS.2014.2356652查看下载
  14. Bai, J., Jia, L., Liu, S., Xu, Z., Hu, G., Zhu, M., Song, L.. Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes. IEEE Geoscience and Remote Sensing Letters, 2015, 12(5), 943-947. doi:10.1109/LGRS.2014.2368580查看下载
  15. Xu TR, Liu SM, Xu ZW, Liang SL, Xu L. A dual-pass data assimilation scheme for estimating surface fluxes with FY3A-VIRR land surface temperature. Sci. China Earth Sci., 2015, 58(2), 211-230, doi: 10.1007/s11430-014-4964-7.查看下载
  16. Xu T, Liu S, Xu L, Chen Y, Jia Z, Xu Z, Nielson J. Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration. Remote Sensing. 2015, 7(3):3400-3425. doi:10.3390/rs70303400查看下载
  17. Zhang L, Sun R, Xu ZW, Qiao C, Jiang GQ. Diurnal and Seasonal Variations in Carbon Dioxide Exchange in Ecosystems in the Zhangye Oasis Area, Northwest China. PLoS ONE, 2015, 10(3). doi:10.1371/journal.pone.0120660查看下载
  18. Song LS, Liu SM, William Kustas P, Zhou J, Ma YF. Using the Surface Temperature-Albedo Space to Separate Regional Soil and Vegetation Temperatures from ASTER Data. Remote Sensing, 2015, 7(5):5828-5848. doi:10.3390/rs70505828查看下载
  19. Hu MG, Wang JH, Ge Y, Liu MX, Liu SM, Xu ZW, Xu TR. Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging, Atmosphere 2015, 6, 1032-1044.查看下载
  20. Gao SG, Zhu ZL, Liu SM, Jin R, Yang GC, Tan L. 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, 2014, 32, 54-66. doi:10.1016/j.jag.2014.03.003查看下载
  21. Li Y, Sun R, Liu SM. Vegetation Physiological Parameters Setting in the Simple Biosphere Model 2 (SiB2) for alpine meadows in upper reaches of Heihe River. SCIENCE CHINA, 2014,doi:10.1007/s11430-014-4909-1查看下载
  22. Xu ZW, Liu SM, Li X, Shi SJ, Wang JM, Zhu ZL, Xu TR, Wang WZ, Ma MG. Intercomparison of surface energy flux measurement systems used during the HiWATER-MUSOEXE. Journal of Geophysical Research, 2013,118, 13140-13157, doi:10.1002/2013JD020260.查看下载
  23. Liu SM, Xu ZW, Zhu ZL, Jia ZZ, Zhu MJ. Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River Basin, China. Journal of Hydrology, 2013, 487, 24-38.查看下载
  24. Zhou J, Li MS, Liu SM, Jia ZZ, Ma YF. 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, 2015, 7, 7126-7156.查看下载

专题文献

  1. Li X, Cheng GD, Liu SM, Xiao Q, Ma MG, Jin R, Che T, Liu QH, Wang WZ, Qi Y, Wen JG, Li HY, Zhu GF, Guo JW, Ran YH, Wang SG, Zhu ZL, Zhou J, Hu XL, Xu ZW. Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific objectives and experimental design. Bulletin of the American Meteorological Society, 2013, 94(8): 1145-1160, 10.1175/BAMS-D-12-00154.1.查看 | 下载
  2. 李新, 刘绍民, 马明国, 肖青, 柳钦火, 晋锐, 车涛, 王维真, 祁元, 李弘毅, 朱高峰, 郭建文, 冉有华, 闻建光, 王树果. 黑河流域生态-水文过程综合遥感观测联合试验总体设计. 地球科学进展, 2012, 27(5): 481-498.查看 | 下载

数据使用声明

本数据由“黑河生态水文遥感试验(HiWATER)”产生,用户在使用数据时请在正文中明确声明数据的来源,并在参考文献部分引用本元数据提供的引用方式。

资助项目

国家自然科学基金重大研究计划“黑河流域生态-水文过程集成研究”重点项目“黑河流域生态-水文过程综合遥感观测试验:水文气象要素与多尺度蒸散发观测”(项目编号: 91125002)


相关资源


    最近10条服务记录如下:

    1. 2018-05-30 中国科学院西北生态环境资源研究院 冯姣姣 用途:科研学习
    2. 2018-04-18 兰州大学本科生 汪镡 用途:用于写本科毕业论文
    3. 2018-04-16 天津大学 刘琴 用途:用EC和气象等数据计算实际蒸散发,比较观测值和模型拟合数据,评估模型的适用性。
    4. 2018-04-03 河海大学 孙静静 用途:“水资源“天-空-陆-水”立体监测多时空尺度信息融合技术”项目是“国家水资源立体监测体系与遥感技术应用”国家重点研发计划课题的一部分,目前由于课题需要,正在进行黑河流域蒸散发数据的计算,所以需要黑河流域的通量数据进行验证计算,希望工作人员允以通过,谢谢。
    5. 2018-03-22 中国科学院寒区旱区环境与工程研究所 李艳 用途:陆面蒸散发遥感估算
    6. 2018-01-23 中国水利水电科学研究院 易珍言 用途:蒸散发遥感反演及其尺度相关研究
    7. 2018-01-10 北京大学城市与环境学院 尤南山 用途:硕士毕业论文:《黑河流域土地利用/覆被变化和气候变化对GPP的影响》,导师:蒙吉军副教授。 用于GPP模型的校准和验证。
    8. 2018-01-09 中科院寒旱所 谭俊磊 用途:用于温度与地形关系分析
    9. 2018-01-03 北京师范大学 李小雁 用途:分析黑河流域生态水文过程
    10. 2018-01-02 北京师范大学 李小雁 用途:黑河中上游生态水文过程模拟

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    • 数据时间范围:2016-01-01 至 2016-12-31
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    • 元数据更新时间:2017-12-06
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