祁连山综合观测网:青海湖流域地表过程综合观测网(高寒草甸草原混合超级站气象要素梯度观测系统-2019)

Qilian Mountains integrated observatory network: Dataset of Qinghai Lake integrated observatory network (an observation system of Meteorological elements gradient of Alpine meadow and grassland ecosystem Superstation, 2019)


该数据集包含了2018年9月3日至2019年12月31日青海湖流域地表过程综合观测网高寒草甸草原混合超级站气象要素梯度观测系统数据。站点位于青海省天峻县苏里路旁侧,下垫面是高寒草甸和高寒草原的混合。观测点经纬度为:东经 98°35′41.62″E,北纬 37°42′11.47″N,海拔3718m。风速/风向、空气温度、相对湿度传感器分别架设在3m、5m、10m、15m、20m、30m、40m处,共7层,朝向正北;气压计安装在3m处;翻斗式雨量计安装在塔西偏北侧10m平台上;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;土壤热流板(自校正式)(3块)依次埋设在地下6cm处,朝向正南距离塔体2m处;土壤温度探头埋设在地下5cm、10cm、20cm、40cm、80cm、120cm、200cm、300cm和400cm处,在距离气象塔2m的正东方;土壤水分传感器分别埋设在地下5cm、10cm、20cm、40cm、80cm、120cm、200cm、300cm和400cm处,在距离气象塔2m的正东方;光合有效辐射仪安装在6m处,探头垂直向上和向下方向各一个,朝向正南。

观测项目有:风速(WS_3m、WS_5m、WS_10m、WS_15m、WS_20m、WS_30m、WS_40m)(单位:米/秒)、风向(WD_3m、WD_5m、WD_10m、WD_15m、WD_20m、WD_30m、WD_40m)(单位:度)、空气温湿度(Ta_3m、Ta_5m、Ta_10m、Ta_15m、Ta_20m、Ta_30m、Ta_40m和RH_3m、RH_5m、RH_10m、RH_15m、RH_20m、RH_30m、RH_40m)(单位:摄氏度、百分比)、降水量(Rain)(单位:毫米)、气压(Press)(单位:百帕)、地表辐射温度(IRT_1、IRT_2)(单位:摄氏度)、向上与向下光合有效辐射(PAR_U_up、PAR_U_down)(单位:微摩尔/平方米秒) 、四分量辐射(DR、UR、DLR_Cor、ULR_Cor、Rn)(单位:瓦/平方米)、土壤热通量(Gs_1、Gs_2、Gs_3)(单位:瓦/平方米)、土壤水分(Ms_5cm、Ms_10cm、Ms_20cm、Ms_40cm、Ms_80cm、Ms_120cm、Ms_200cm、Ms_300cm、Ms_400cm)(单位:百分比)、土壤温度(Ts_5cm、Ts_10cm、Ts_20cm、Ts_40cm、Ts_80cm、Ts_120cm、Ts_200cm、Ts_300cm、Ts_400cm)(单位:摄氏度)。

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;(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:2018/8/31 10:30。


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. 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)

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)

数据的引用

李小雁. (2020). 祁连山综合观测网:青海湖流域地表过程综合观测网(高寒草甸草原混合超级站气象要素梯度观测系统-2019). 国家青藏高原科学数据中心, 2020. doi: 10.11888/Meteoro.tpdc.270726.
[Li, X. (2020). Qilian Mountains integrated observatory network: Dataset of Qinghai Lake integrated observatory network (an observation system of Meteorological elements gradient of Alpine meadow and grassland ecosystem Superstation, 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

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12.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 )

13.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 )

14.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 )

15.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 )

16.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 )

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26.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 )

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使用条款

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



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Email: poles@itpcas.ac.cn

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