{
    "created": "2019-09-26 03:00:25",
    "updated": "2026-04-04 20:30:15",
    "id": "e3ca506c-0c27-4c84-a745-6092866b18fa",
    "version": null,
    "ds_topic": "1070a5c3-a5a6-4668-a5e0-ad2d00a4477c",
    "title_cn": "2014年塔克拉玛干沙漠湍流通量观测数据",
    "title_en": "Observation data of turbulent flow in Taklimakan Desert in 2014",
    "ds_abstract": "<p>本数据集为2014年塔克拉玛干沙漠气象野外科学观测研究站湍流观测系统观测半小时数据，数据包括2层（10m和80m）的热通量数据共65个观测指标：感热、二氧化碳通量（wpl）、潜热通量（wpl）、感热与动量通量、摩擦速度、超声虚温均值、超声虚温的标准偏差、水平风速Ux和超声虚温的协方差、水平风速Uy和超声虚温的协方差、垂直风速Uz和超声虚温的协方差、二氧化碳密度均值、CO2的 标准偏差、水平风速Ux和二氧化碳的协方差、水平风速Uy和二氧化碳的协方差、垂直风速Uz和二氧化碳的协方差、水蒸汽密度均值、H2O的 标准偏差、水平风速Ux和水汽密度的协方差  水平风速Uy和水汽密度的协方差 垂直风速Uz和水汽密度的协方差、水平风速Ux均值和标准偏差、水平风速Ux和水平风速Uy的协方差、水平风速Ux和垂直风速Uz的协方差、水平风速Uy的标准偏差、水平风速Uy的标准偏差、水平风速Uy和垂直风速Uz的协方差、垂直风速Uz的标准偏差、垂直风速Uz的标准偏差、HMP45C测得的空气温度均值、经过空气温湿度计算的水汽密度均值、空气密度均值 罗盘坐标系下的风向方位角、超声风坐标系下的风向角度、平均水平风速、矢量合成水平风速、合成风向的标准偏差、未经过WPL修正的（二氧化碳通量、潜热通量）二氧化碳通量WPL变换的潜热修正项，二氧化碳通量WPL变换的感热修正项，潜热通量WPL变换的潜热修正项潜热通量WPL变换的感热修正项、协方差计算中有效样本总数、分析仪警告次数、分析仪警告次数、仪器AGC平均值、采集器温度、电池电压、5cm-40cm土壤温度，共分2个文件保存，分别为TZ_FLUX_10m_2014.csv(10m湍流通量数据)和TZ_FLUX_80m_2014.csv(80m湍流通量数据)。</p>",
    "ds_source": "<p>使用Gill R3/ADC OP2型涡动相关系统自动获取的数据。</p>",
    "ds_process_way": "<p>本数据由仪器自动获取的原始数据。</p>",
    "ds_quality": "<p>数据无缺测，质量良好。</p>",
    "ds_acq_start_time": "2014-01-01 00:00:00",
    "ds_acq_end_time": "2014-12-31 00:00:00",
    "ds_acq_place": "新疆维吾尔自治区巴音郭楞蒙古自治州且末县塔克拉玛干沙漠腹地塔中",
    "ds_acq_lon_east": 83.65972222222223,
    "ds_acq_lat_south": 38.980555555555554,
    "ds_acq_lon_west": 83.65972222222223,
    "ds_acq_lat_north": 38.980555555555554,
    "ds_acq_alt_low": 1099.0,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 15846627,
    "ds_files_count": 3,
    "ds_format": "csv",
    "ds_space_res": null,
    "ds_time_res": "半小时",
    "ds_coordinate": "无",
    "ds_projection": "无",
    "ds_thumbnail": "e3ca506c-0c27-4c84-a745-6092866b18fa.jpg",
    "ds_thumb_from": 2,
    "ds_ref_way": "中国气象局乌鲁木齐沙漠气象研究所，2014年塔克拉玛干沙漠湍流通量观测数据，国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2019，doi：10.12072/ncdc.IDM.db0013.2020",
    "paper_ref_way": "",
    "ds_ref_instruction": "本数据集是由仪器自动观测获取的原始数据，数据格式为dat，可以使用LoggerNet软件转换成TOA5格式，然后再导入到Excel文件中进行处理。",
    "ds_from_station": null,
    "organization_id": "ed54f0d0-61df-4225-aaf1-1a88722cfdf0",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": null,
    "quality_level": 3,
    "publish_time": "2020-12-17 10:46:04",
    "last_updated": "2023-05-16 17:35:42",
    "protected": false,
    "protected_to": "2022-09-14 00:00:00",
    "lang": "zh",
    "cstr": "11738.11.ncdc.IDM.2020.33",
    "license": null,
    "i18n": {
        "en": {
            "title": "Observation data of turbulent flow in Taklimakan Desert in 2014",
            "ds_format": "",
            "ds_source": "<p>The data obtained automatically by Gill R3 / ADC op2 eddy correlation system. </p>",
            "ds_quality": "<p>The quality of the data is good. </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>This data set is the half-hour observation data of turbulence observation system of Taklimakan Desert meteorological field scientific observation and research station in 2014. The data includes two layers (10m and 80m) of heat flux data, with a total of 65 observation indexes: sensible heat, carbon dioxide flux (WPL), latent heat flux (WPL), sensible heat and momentum flux, friction velocity, mean value of ultrasonic virtual temperature, standard deviation of ultrasonic virtual temperature, water The covariance of horizontal wind speed UX and ultrasonic virtual temperature, the covariance of vertical wind speed UZ and ultrasonic virtual temperature, the mean value of carbon dioxide density, the standard deviation of CO2, the covariance of horizontal wind speed UX and carbon dioxide, the covariance of horizontal wind speed uy and carbon dioxide, the covariance of vertical wind speed UZ and carbon dioxide, the mean value of water vapor density and H2O Standard deviation, covariance of horizontal wind speed UX and water vapor density: covariance of vertical wind speed UZ and water vapor density, mean and standard deviation of horizontal wind speed UX, covariance of horizontal wind speed UX and horizontal wind speed uy, covariance of horizontal wind speed UX and vertical wind speed UZ, standard deviation of horizontal wind speed uy, standard deviation of horizontal wind speed uy, and horizontal wind speed The standard deviation of wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind speed, wind Quasi deviation, latent heat correction term of CO2 flux WPL transformation, sensible heat correction term of CO2 flux WPL transformation, latent heat correction term of latent heat flux WPL transformation, sensible heat correction term of latent heat flux WPL transformation, total number of effective samples in covariance calculation, analyzer warning times, analyzer warning times, instrument AGC The average value, collector temperature, battery voltage and 5cm-40cm soil temperature were stored in two files, respectively TZ_ FLUX_ 10m_ 2014. CSV (10 m turbulent flow data) and TZ_ FLUX_ 80m_ 2014.csv (80m turbulent flow data). </p>",
            "ds_time_res": "半小时",
            "ds_acq_place": "Tazhong, hinterland of Taklimakan Desert, Qiemo County, Bayingolin Mongolian Autonomous Prefecture, Xinjiang Uygur Autonomous Region",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>This data is obtained by the instrument automatically. </p>",
            "ds_ref_instruction": "                                                            This data set is the original data obtained by automatic observation of the instrument. The data format is DAT, which can be converted into toa5 format by loggernet software, and then imported into excel file for processing."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "热通量，三维风;H2O，动量通量，CO2，摩擦速度，"
    ],
    "ds_subject_tags": [
        "大气探测"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "新疆",
        "塔中",
        "巴音郭楞蒙古自治州"
    ],
    "ds_time_tags": [
        2014
    ],
    "ds_contributors": [
        {
            "true_name": "中国气象局乌鲁木齐沙漠气象研究所",
            "email": "",
            "work_for": "中国气象局乌鲁木齐沙漠气象研究所",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "张建涛",
            "email": "zhangjt@idm.cn",
            "work_for": "中国气象局乌鲁木齐沙漠气象研究所",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "中国气象局乌鲁木齐沙漠气象研究所",
            "email": "",
            "work_for": "中国气象局乌鲁木齐沙漠气象研究所",
            "country": "中国"
        },
        {
            "true_name": "张建涛",
            "email": "zhangjt@idm.cn",
            "work_for": "中国气象局乌鲁木齐沙漠气象研究所",
            "country": "中国"
        }
    ],
    "category": "沙漠与荒漠化"
}