祁连山综合观测网 : 青海湖流域地表过程综合观测网 (青海湖湖面气象要素梯度观测系统-2018)

Qilian Mountains integrated observatory network: Dataset of Qinghai Lake integrated observatory network (an observation system of meteorological elements gradient of Yulei station on Qinghai lake, 2018)


该数据集包含了2018年1月1日至2018年10月12日青海湖流域水文气象观测网青海湖鱼雷发射基地站气象要素梯度观测系统数据。站点位于青海省青海湖二郎剑景区鱼雷发射基地,下垫面是青海湖水面。观测点经纬度为:东经 100° 29' 59.726'' E,北纬 36° 35' 27.337'' N,海拔3209m。风速/风向架设在距湖面14m处,共1层,朝向正北;空气温度、相对湿度传感器分别架设在距湖面12m、12.5m处,共2层,朝向正北;翻斗式雨量计安装在距湖面10m处;四分量辐射仪安装在距湖面10m处,朝向正南;一个红外温度计安装在距湖面10m处,朝向正南,探头朝向是垂直向下;湖水温度探头设在水下0.2, 0.5, 1.0, 2.0, and 3.0 m处;光合有效辐射仪安装在距湖面10m处,探头朝向是垂直向下,朝向正南。

观测项目有:风速(WS_14m)(单位:米/秒)、风向(WD_14m)(单位:度)、空气温湿度(Ta_12m、Ta_12.5m和RH_12m、RH_12.5m)(单位:摄氏度、百分比)、降水量(Rain)(单位:毫米)、四分量辐射(DR、UR、DLR_Cor、ULR_Cor、Rn)(单位:瓦/平方米)、湖表辐射温度(IRT_1)(单位:摄氏度)、湖水温度(Tw_20cm、Tw_50cm、Tw_100cm、Tw_200cm、Tw_300cm)(单位:摄氏度) 、光合有效辐射(PAR)(单位:微摩尔/平方米秒)。

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;2018.1.1-10.12由于由于采集器的问题,除四分量外的气象数据均无记录;(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:2018-1-1 10:30。


数据文件命名方式和使用方法

年份+**观测网+站点名称+AWS


本数据要求的引用方式 查看数据引用帮助 数据引用必读
数据的引用

李小雁. (2019). 祁连山综合观测网 : 青海湖流域地表过程综合观测网 (青海湖湖面气象要素梯度观测系统-2018). 时空三极环境大数据平台, DOI: 10.11888/Meteoro.tpdc.270124. CSTR: 18406.11.Meteoro.tpdc.270124.
[Li, X. (2019). Qilian Mountains integrated observatory network: Dataset of Qinghai Lake integrated observatory network (an observation system of meteorological elements gradient of Yulei station on Qinghai lake, 2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270124. CSTR: 18406.11.Meteoro.tpdc.270124. ] (下载引用: RIS格式 | RIS英文格式 | Bibtex格式 | Bibtex英文格式 )

文章的引用

1. Li, X.Y., Yang, X.F., Ma, Y.J., Hu, G.R., Hu, X., Wu, X.C., Wang, P., Huang, Y.M., Cui, B.L., & Wei, J.Q. (2018). Qinghai Lake Basin Critical Zone Observatory on the Qinghai-Tibet Plateau. Vadose Zone Journal, 17(1).( 查看 | Bibtex格式)

2. Li, X.Y., Ma, Y.J., Huang, Y.M., Hu, X., Wu, X.C., Wang, P., Li, G.Y., Zhang, S.Y., Wu, H.W., Jiang, Z.Y., Cui, B.L., & Liu, L. (2016). Evaporation and surface energy budget over the largest high-altitude saline lake on the Qinghai-Tibet Plateau. Journal of Geophysical Research: Atmospheres, 121(18), 10470-10485.( 查看 | Bibtex格式)

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.Zhang, S.Y., Li, X.Y., Zhao, G.Q., &Huang, Y.M. (2016). Surface energy fluxes and controls of evapotranspiration in three alpine ecosystems of Qinghai Lake watershed, NE Qinghai-Tibet Plateau. Ecohydrology, 9(2), 267-279. (查看 )

2.Zhang, S.Y., Li, X.Y., Ma, Y.J., Zhao, G.Q., Li, L., Chen, J., Jiang, Z.Y., & Huang, Y.M. (2014). Interannual and Seasonal Variability in Evapotranspiration and Energy Partitioning over the Alpine Riparian ShrubMyricaria SquamosaDesv. on Qinghai-Tibet Plateau. Cold Regions Science and Technology, 102, 8-20. (查看 )

3.Yu, G.R., Zhu, X.J., Fu, Y.L., He, H.L., Wang, Q.F., Wen, X.F., Li, X.R., Zhang, L.M., Zhang, L., Su, W., Li, S.G., Sun, X.M., Zhang, Y.P., Zhang, J.H., Yan, J.H., Wang, H.M., Zhou, G.S., Jia, B.R., Xiang, W.H., Li, Y.N., Zhao, L., Wang, Y.F., Shi, P.L., Chen, S.P., Zhao, F.H., Wang, Y.Y., & Tong, C.L. (2013). Spatial patterns and climate drivers of carbon fluxes in terrestrial ecosystems of China. Global Change Biology, 19, 798–810. (查看 )

4.Gu, S., Tang, Y.H., Du, M.Y., Kato, T., Li, Y.N., Cui, X.Y., &Zhao, X.Q. (2003). Short term variation of NEE in relation to environmental controls in an alpine meadow on the Qinghai-Tibetan Plateau, Journal of Geophysical Research, 108(D21), 4670. (查看 )

5.Fu, Y., Zheng, Z., Yu, G., Hu, Z., Sun, X., Shi, P., Wang, Y., & Zhao, X. (2009). Environmental influences on carbon dioxide fluxes over three grassland ecosystems in China. Biogeosciences, 6, 2879–2893. (查看 )

6.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 | 下载 )

7.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 )

8.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 )

9.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 )

10.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, doi:10.1016/j.jhydrol.2016.06.034. (查看 )

11.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 )

12.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 )

13.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 )

14.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 )

15.Su, P.X., Yan, Q.D., Xie, T.T., Zhou,Z.J., & Gao, S. (2012). Associated growth of C3 and C4 desert plants helps the C3 species at the cost of the C4 species. Acta Physiologiae Plantarum, 34(6), 2057-2068. (查看 )

16.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 )

17.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 )

18.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 )

19.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 )

20.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 )

21.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 )

22.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 )

23.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 )

24.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 )

25.Peng H, Zhao C, Feng Z, Tian F, Xu Z. Estimating spatial distribution of radiation below the Qinghai Spruce forest canopy in Qilian Mountains using hemispherical images and Airborne LiDAR data[C]//Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International. 2011: 1954–1957. doi:10.1109/IGARSS.2011.6049509 (查看 )

26.Li, Y., Sun, R., &Liu, S.M. (2015). Vegetation Physiological Parameters Setting in the Simple Biosphere Model 2 (SiB2) for alpine meadows in upper reaches of Heihe River. Science China Earth Sciences, 58(5), 755-769. (查看 | 下载 )

27.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, doi:10.1002/2013JD020260. (查看 | 下载 )

28.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 )


资助项目

泛第三极环境变化与绿色丝绸之路建设专项(XDA20000000) (项目编号:XDA20000000) Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program

数据使用声明

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)


相关资源

1. 2022-11-27 蒋果*   用途:亚热带森林碳水循环研究、模拟结果验证及遥感数据真实性检验等用途 …… 中国科学院新疆生态与地理研究所

2. 2022-11-12 None*   用途:研究青藏高原区域土壤碳循环对地表水热过程的响应[用于学生博士论文,论文名称是青藏高原区域土壤碳循环对地表水热过程的响应与模拟研究,学生姓名:盛丹睿;导师姓名:孟 ……

3. 2022-10-11 王旭*   用途:用于硕士论文 论文题目:《青藏高原近50年地表和大气湿润指数的时空变化特征》 导师姓名:刘亚平 …… 首都师范大学

4. 2022-10-10 郝雨*   用途:论文,Land surface temperature retrieval and its angular normalization from Himawar …… 中国地震局地质研究所

5. 2022-10-01 陈链*   用途:申请该数据用于学术论文写作,与遥感反演产品进行精度验证。 …… 青海师范大学

6. 2022-09-30 王欣*   用途:用于博士论文写作,主要研究青藏高原湖泊能量研究,导师高冰 …… 中国地质大学(北京)

7. 2022-09-22 韩国*   用途:因建立国家青藏科学数据中心青海分中心的数据平台,参照一下贵平台的数据格式,便于我们开展工作。望贵单位能给予协助。 …… 青海师范大学

8. 2022-09-21 王欣*   用途:用于博士论文写作,青藏高原湖泊能量研究,导师高冰 …… 中国地质大学(北京)

9. 2022-09-17 李炎*   用途:硕士论文:青海湖流域及周边区域内遥感降水数据的降尺度研究分析 导师姓名:张乐乐 …… 青海师范大学

10. 2022-09-12 卢琪*   用途:用于碳水通量模型预测 …… 南京师范大学地理科学学院2

11. 2022-09-12 卢琪*   用途:用于碳水通量模型预测 …… 南京师范大学地理科学学院2

12. 2022-09-08 TA*   用途:创新群体:气候变化与水安全 …… 南京水利科学研究院

13. 2022-09-08 冯韬*   用途:创新研究群体项目[气候变化与水安全] …… 南京水利k

14. 2022-08-31 赵仪*   用途:李教授您好,我是中科院西北院的一名研究生,正在做与青海湖湖泊模拟相关的研究,需要您的研究成果用作驱动数据。希望您通过申请 ……

15. 2022-08-12 葛楠*   用途:用于发展水体下垫面感热/潜热通量参数化方案以及卫星估算地表热通量的验证。博士论文中使用静止卫星数据计算青藏高原地区的水热通量和蒸散发,需要站点实测数据进行地面验 …… 中国科学技术大学

16. 2022-08-10 许凤*   用途:湖面蒸发模拟验证 …… 中国科学院青藏高原所

17. 2022-08-01 葛楠*   用途:用于卫星估算地表热通量的地面验证。博士论文中使用静止卫星数据计算青藏高原地区的水热通量和蒸散发,需要站点实测数据进行地面验证。博士论文名称:基于FY-4A/AG …… 中国科学技术大学

18. 2022-07-22 王海*   用途:用于模型验证数据研究。 …… 寒旱所遥感室

19. 2022-07-19 田欠*   用途:地表辐射平衡要素 评价 …… 西安科技大学

20. 2022-07-04 拉珠*   用途:湖面蒸发研究 …… 中科院青藏所

暂无数据

数据评论

当前页面默认显示 中文 评论 显示所有语种的评论

申请下载 关注
关键词
空间位置
East: 100.48 West: 100.48
South: 36.58 North: 36.58
数据细节
  • 时间分辨率: Hourly
  • 大小: 1 MB
  • 浏览: 8924 次
  • 下载量: 160 次
  • 共享方式: 申请获取
  • 数据时间范围: 2018-01-18 至 2018-10-29
  • 元数据更新时间: 2021-04-19
联系信息
李小雁  

分发方: 时空三极环境大数据平台

Email: poles@itpcas.ac.cn

附件信息
导出元数据