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海河流域多尺度地表通量与气象要素观测数据集:怀来站-涡动相关仪(40m塔)(2019)

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国家青藏高原科学数据中心2021-04-20 更新2024-03-01 收录
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https://data.tpdc.ac.cn/zh-hans/data/8848ab04-72c0-450b-8e8c-fbfde455c117
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该数据集包含了2019年1月1日至2019年10月24日的40m塔涡动相关仪观测数据。站点位于河北省怀来县东花园镇,下垫面水浇地玉米。观测点的经纬度是115.7923E, 40.3574N,海拔480m。涡动相关仪的采集频率是10Hz,架高为3.5 m,超声朝向是正北向,超声风速仪(CSAT3)与CO2/H2O分析仪(EC150)之间的距离是0 cm。 发布的数据是采用Eddypro软件对原始采集的10Hz数据进行后处理得到的30分钟数据,其处理的主要步骤包括:野点值剔除,延迟时间校正,坐标旋转(二次坐标旋转),频率响应修正,超声虚温修正和密度(WPL)修正等。同时对各通量值进行质量评价,主要是大气平稳性(Δst)和湍流相似性特征(ITC)的检验。对处理后输出的30min通量值也进行了筛选:(1)剔除仪器出错时的数据;(2)剔除降水前后1h的数据;(3)剔除10Hz原始数据每30min内缺失率大于10%的数据;(4)剔除夜间弱湍流的观测数据(u*小于0.1m/s)。观测数据的平均周期为30分钟,一天48个数据,缺失数据标记为-6999。在冬季EC150测量水汽密度出现很多负值,以-6999填充。8月16-8月26日由于供电问题,数据缺失。 涡动相关仪发布的观测数据包括:日期/时间Date/Time,风向Wdir(°),水平风速Wnd(m/s),侧向风速标准差Std_Uy(m/s),超声虚温Tv(K),水汽密度H2O(g/m3),二氧化碳浓度CO2(mg/m3),摩擦速度Ustar(m/s),奥布霍夫长度,感热通量Hs(W/m2),潜热通量LE(W/m2),二氧化碳通量Fc(mg/(m2s)),感热通量的质量标识QA_Hs,潜热通量的质量标识QA_LE。感热、潜热、二氧化碳通量的质量标识分为三级(质量标识0:(Δst <30, ITC<30); 1: (Δst <100, ITC<100); 其余为2)。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。 观测试验或站点信息请参考Guo et al.(2020),数据处理请参考Liu et al. (2013)。

This dataset contains 40-meter tower-based eddy covariance observational data collected from January 1, 2019 to October 24, 2019. The observation site is located in Donghuayuan Town, Huailai County, Hebei Province, with irrigated corn cropland as the underlying surface. The geographic coordinates of the observation point are 115.7923°E, 40.3574°N, and the altitude is 480 m above sea level. The eddy covariance system has a sampling frequency of 10 Hz, an installation height of 3.5 m, the ultrasonic anemometer is oriented towards true north, and the distance between the ultrasonic anemometer (CSAT3) and the CO2/H2O analyzer (EC150) is 0 cm. The released data are 30-minute flux data processed from the original 10 Hz raw data using EddyPro software. The main processing steps include: outlier removal, time lag correction, coordinate rotation (double coordinate rotation), frequency response correction, ultrasonic virtual temperature correction, and density (WPL) correction. Meanwhile, quality assessment was conducted for each flux product, mainly including tests of atmospheric stationarity (Δst) and turbulence similarity criterion (ITC). The processed 30-minute flux data were further screened according to the following criteria: (1) Remove data collected during instrument malfunctions; (2) Remove data within 1 hour before and after precipitation events; (3) Remove data with a missing rate greater than 10% in the 10 Hz raw data per 30-minute window; (4) Remove nighttime weak turbulence data (u* < 0.1 m/s). The average period of the observational data is 30 minutes, with 48 data records per day, and missing data are marked as -6999. During winter, numerous negative values of water vapor density measured by the EC150 were filled with -6999. Data was missing from August 16 to August 26 due to power supply issues. The released observational data from the eddy covariance system include: Date/Time, wind direction Wdir (°), horizontal wind speed Wnd (m/s), lateral wind speed standard deviation Std_Uy (m/s), ultrasonic virtual temperature Tv (K), water vapor density H2O (g/m³), carbon dioxide concentration CO2 (mg/m³), friction velocity Ustar (m/s), Obukhov length, sensible heat flux Hs (W/m²), latent heat flux LE (W/m²), carbon dioxide flux Fc (mg/(m²s)), quality flag of sensible heat flux QA_Hs, and quality flag of latent heat flux QA_LE. The quality flags for sensible heat flux, latent heat flux, and carbon dioxide flux are classified into three levels: 0: (Δst < 30, ITC < 30); 1: (Δst < 100, ITC < 100); and 2 for all other cases. The meaning of the data timestamp: for example, 0:30 represents the average value over the period 0:00–0:30. All data are stored in *.xls format. For detailed information on the experimental site and observation campaign, please refer to Guo et al. (2020); for data processing protocols, please refer to Liu et al. (2013).
提供机构:
刘绍民,肖青,徐自为,柏军华
创建时间:
2021-01-06
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集包含2019年1月1日至10月24日河北省怀来县40m塔涡动相关仪的观测数据,主要记录了地表通量与气象要素,如风向、风速、水汽密度、二氧化碳浓度等。数据经过严格的质量控制和后处理,适用于地表能量平衡和气候变化研究。
以上内容由遇见数据集搜集并总结生成
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