{
    "created": "2020-03-16 07:06:55",
    "updated": "2026-05-04 02:51:57",
    "id": "5c662aae-2f5d-4f44-839e-96ad07d84a93",
    "version": 2,
    "ds_topic": null,
    "title_cn": "黑河生态水文遥感试验：水文气象观测网数据集（花寨子荒漠站涡动相关仪-2014年）",
    "title_en": "Heihe River eco hydrological remote sensing test: hydrometeorological observation network data set (whirl correlator of huazhaizi desert station-2014)",
    "ds_abstract": "<p>&emsp;&emsp;该数据集包含了2014年1月1日至2014年12月31日的黑河水文气象观测网中游花寨子荒漠站的涡动相关仪观测数据。站点位于甘肃省张掖市，下垫面是荒漠。观测点的经纬度是100.31860E, 38.76519N，海拔1731.00m。涡动相关仪的架高2.85m，采样频率是10Hz，超声朝向是正北向，超声风速温度仪（CSAT3）与CO2/H2O分析仪（Li7500）之间的距离是15cm。<p>&emsp;&emsp;涡动相关仪的原始观测数据为10Hz，发布的数据是采用Eddypro软件处理的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Eddypro软件输出的30min通量值也进行了筛选：<p>&emsp;&emsp;（1）剔除仪器出错时的数据；<p>&emsp;&emsp;（2）剔除降水前后1h的数据；<p>&emsp;&emsp;（3）剔除10Hz原始数据中每30min内缺失率大于10%的数据；<p>&emsp;&emsp;（4）剔除夜间弱湍流的观测数据（u*小于0.1m/s）。<p>&emsp;&emsp;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。因仪器漂移等原因引起的可疑数据用红色字体标识。3月1日至3月31日由于存储卡存储数据出现问题，导致10Hz数据缺失，由采集器输出的30min通量数据替代。</p>",
    "ds_source": "<p>&emsp;&emsp;涡动相关仪的架高2.85m，采样频率是10Hz，超声朝向是正北向，超声风速温度仪（CSAT3）与CO2/H2O分析仪（Li7500）之间的距离是15cm。</p>",
    "ds_process_way": "<p>&emsp;&emsp;涡动相关仪的原始观测数据为10Hz，发布的数据是采用Eddypro软件处理的30分钟数据，其处理的主要步骤包括：<p>&emsp;&emsp;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Eddypro软件输出的30min通量值也进行了筛选：<p>&emsp;&emsp;（1）剔除仪器出错时的数据；<p>&emsp;&emsp;（2）剔除降水前后1h的数据；<p>&emsp;&emsp;（3）剔除10Hz原始数据中每30min内缺失率大于10%的数据；<p>&emsp;&emsp;（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。<p>&emsp;&emsp;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（℃），水汽密度H2O（g/m3），二氧化碳浓度CO2（mg/m3），摩擦速度Ustar（m/s），稳定度Z/L（无量纲），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，二氧化碳通量的质量标识QA_Fc。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 &lt;30, ITC&lt;30）; 1: （Δst &lt;100, ITC&lt;100）; 其余为2）。数据时间的含义，如0:30代表0:00-0:30的平均；</p>",
    "ds_quality": "<p>&emsp;&emsp;因仪器漂移等原因引起的可疑数据用红色字体标识。3月1日至3月31日由于存储卡存储数据出现问题，导致10Hz数据缺失，由采集器输出的30min通量数据替代。<p>&emsp;&emsp;水文气象网或站点信息请参考Liu et al. (2018)，观测数据处理请参考Liu et al.(2011)。</p>",
    "ds_acq_start_time": "2014-01-01 00:00:00",
    "ds_acq_end_time": "2014-12-31 00:00:00",
    "ds_acq_place": "黑河流域",
    "ds_acq_lon_east": 100.3,
    "ds_acq_lat_south": 38.765,
    "ds_acq_lon_west": 100.3,
    "ds_acq_lat_north": 38.765,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 3443548,
    "ds_files_count": 2,
    "ds_format": "excel",
    "ds_space_res": "",
    "ds_time_res": "年",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "5c662aae-2f5d-4f44-839e-96ad07d84a93.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "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。",
    "ds_from_station": null,
    "organization_id": "c94b3578-20da-4346-9de9-c702b6ca8983",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [],
    "quality_level": 3,
    "publish_time": "2021-08-27 16:13:37",
    "last_updated": "2026-02-05 17:40:17",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.nieer.2020.1656",
    "i18n": {
        "en": {
            "title": "Heihe River eco hydrological remote sensing test: hydrometeorological observation network data set (whirl correlator of huazhaizi desert station-2014)",
            "ds_format": "",
            "ds_source": "<p>&emsp;The frame height of vortex correlator is 2.85m, the sampling frequency is 10Hz, the ultrasonic direction is due north, and the distance between ultrasonic anemometer (csat3) and CO2 / H2O analyzer (li7500) is 15cm</p>",
            "ds_quality": "<p>&emsp;Suspicious data caused by instrument drift and other reasons shall be identified in red font. From March 1 to March 31, there was a problem with the data stored in the memory card, resulting in the loss of 10Hz data, which was replaced by the 30min flux data output by the collector</p>\n<p>&emsp; For hydrometeorological network or station information, please refer to Liu et al. (2018), and for observation data processing, please refer to Liu et al. (2011)</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p> The data set contains the eddy related observation data of huazhaizi desert station in the middle reaches of Heihe hydrometeorological observation network from January 1, 2014 to December 31, 2014. The station is located in Zhangye City, Gansu Province, and the underlying surface is desert. The longitude and latitude of the observation point are 100.31860e, 38.76519n and 1731.00m above sea level. The frame height of vortex correlator is 2.85m, the sampling frequency is 10Hz, the ultrasonic direction is due north, and the distance between ultrasonic anemometer (csat3) and CO2 / H2O analyzer (li7500) is 15cm</p>\n<p> The original observation data of eddy correlator is 10Hz, and the released data is the 30 minute data processed by eddypro software. The main processing steps include: field value elimination, delay time correction, coordinate rotation (quadratic coordinate rotation), frequency response correction, ultrasonic virtual temperature correction and density (WPL) correction. At the same time, the quality of each flux value is evaluated, mainly the atmospheric stability（ Δ St) and turbulence similarity characteristics (ITC). The 30min flux value output by eddypro software is also screened: </p>\n<p> （ 1) Eliminate the data in case of instrument error</p>\n<p> （ 2) Eliminate the data 1H before and after precipitation</p>\n<p> （ 3) Eliminate the data with a loss rate greater than 10% every 30min in the 10Hz original data</p>\n<p> （ 4) Eliminate the observation data of weak turbulence at night (U * less than 0.1M / s)</p>\n<p>  The average period of observation data is 30 minutes, 48 data a day, and the missing data is marked as - 6999. Suspicious data caused by instrument drift and other reasons shall be identified in red font. From March 1 to March 31, there was a problem with the data stored in the memory card, resulting in the loss of 10Hz data, which was replaced by the 30min flux data output by the collector</p>",
            "ds_time_res": "年",
            "ds_acq_place": "",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;The original observation data of eddy correlator is 10Hz, and the released data is the 30 minute data processed by eddypro software. The main steps of processing include:  </p>\n<p>&emsp;Field value elimination, delay time correction, coordinate rotation (quadratic coordinate rotation), frequency response correction, ultrasonic virtual temperature correction and density (WPL) correction. At the same time, the quality of each flux value is evaluated, mainly the atmospheric stability（ Δ St) and turbulence similarity characteristics (ITC). The 30min flux value output by eddypro software is also screened:</p>\n<p>&emsp;（ 1) Eliminate the data in case of instrument error</p>\n<p>&emsp;（ 2) Eliminate the data 1H before and after precipitation</p>\n<p>&emsp;（ 3) Eliminate the data with a loss rate greater than 10% every 30min in the 10Hz original data</p>\n<p>&emsp;（ 4) Eliminate the observation data of weak turbulence at night (U * less than 0.1M / s). The average period of observation data is 30 minutes, 48 data a day, and the missing data is marked as - 6999</p>\n<p>&emsp;The published observation data include: date / time, wind direction WDIR (°), horizontal wind speed wnd (M / s), standard deviation of lateral wind speed STD_ Uy (M / s), ultrasonic virtual temperature TV (℃), water vapor density H2O (g / m3), carbon dioxide concentration CO2 (mg / m3), friction velocity ustar (M / s), stability Z / L (dimensionless), sensible heat flux HS (w / m2), latent heat flux Le (w / m2), carbon dioxide flux FC (mg / (M2S)), quality identification QA of sensible heat flux_ HS, quality identification of latent heat flux QA_ Le, quality identification QA of carbon dioxide flux_ Fc。 The quality identification of sensible heat, latent heat and carbon dioxide flux is divided into three levels (quality identification 0:（ Δ st &lt; 30, ITC&lt; 30）;  1: （ Δ st &lt; 100, ITC&lt; 100）;  The rest are 2). The meaning of data time, for example, 0:30 represents the average of 0:00-0:30</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "doi_reg_from": "reg_local",
    "cstr_reg_from": "reg_local",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "is_paper_in_submitting": false,
    "ds_topic_tags": [
        "荒漠",
        "涡动相关仪",
        "感热通量",
        "潜热通量",
        "水文气象观测网",
        "二氧化碳通量"
    ],
    "ds_subject_tags": [],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黑河流域",
        "中游人工绿洲试验区",
        "花寨子荒漠站"
    ],
    "ds_time_tags": [
        2014
    ],
    "ds_contributors": [
        {
            "true_name": "刘绍民",
            "email": "smliu@bnu.edu.cn",
            "work_for": "北京师范大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "徐自为",
            "email": "xuzw@bnu.edu.cn",
            "work_for": "北京师范大学地理学与遥感科学学院",
            "country": "中国"
        },
        {
            "true_name": "刘绍民",
            "email": "smliu@bnu.edu.cn",
            "work_for": "北京师范大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "徐自为",
            "email": "xuzw@bnu.edu.cn",
            "work_for": "北京师范大学地理学与遥感科学学院",
            "country": "中国"
        }
    ],
    "category": "气象"
}