该数据集包含了2012年9月15日至2013年12月31日的黑河水文气象观测网中游大满超级站上层的涡动相关仪观测数据。站点位于甘肃省张掖市大满灌区内，下垫面是玉米。观测点的经纬度是100.37223E, 38.85551N，海拔1556.06m。涡动相关仪的架高34m，采样频率是10Hz，超声朝向是正北向，超声风速温度仪与CO2/H2O分析仪之间的距离是17cm。
\n涡动相关仪的原始观测数据为10Hz，发布的数据是采用Edire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Edire软件输出的30min通量值也进行了筛选：
\n（1）剔除仪器出错时的数据；
\n（2）剔除降水前后1h的数据；
\n（3）剔除10Hz原始数据中每30min内缺失率大于3%的数据；
\n（4）剔除夜间弱湍流的观测数据（u*小于0.12m/s）。
\n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，其中2013年5月26日-5月30日仪器标定，7月13日-9月24日CO2/H2O分析仪进行维修，该期间数据缺失。
\n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 <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。\n
\n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)。
", "ds_source": "站点位于甘肃省张掖市大满灌区内，下垫面是玉米。观测点的经纬度是100.37223E, 38.85551N，海拔1556.06m。涡动相关仪的架高34m，采样频率是10Hz，超声朝向是正北向，超声风速温度仪与CO2/H2O分析仪之间的距离是17cm。
", "ds_process_way": "涡动相关仪的原始观测数据为10Hz，发布的数据是采用Edire软件处理的30分钟数据，其处理的主要步骤包括：
\n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Edire软件输出的30min通量值也进行了筛选：
\n（1）剔除仪器出错时的数据；
\n（2）剔除降水前后1h的数据；
\n（3）剔除10Hz原始数据中每30min内缺失率大于3%的数据；
\n（4）剔除夜间弱湍流的观测数据（u*小于0.12m/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。因仪器漂移等原因引起的可疑数据用红色字体标识，其中2013年5月26日-5月30日仪器标定，7月13日-9月24日CO2/H2O分析仪进行维修，该期间数据缺失。
\n发布的观测数据包括：
\n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 <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；
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2012-09-15 00:00:00", "ds_acq_end_time": "2013-12-31 00:00:00", "ds_acq_place": "黑河流域, 中游人工绿洲试验区, 大满超级站", "ds_acq_lon_east": 100.37222222222222, "ds_acq_lat_south": 38.855555555555554, "ds_acq_lon_west": 100.37222222222222, "ds_acq_lat_north": 38.855555555555554, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 3052251, "ds_files_count": 2, "ds_format": "word", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "a240faeb-bac7-43e3-b2e8-569dff0c8a7a.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 11:57:02", "last_updated": "2026-02-05 17:40:01", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1606", "i18n": { "en": { "title": "Remote sensing experiment of ecological hydrology in Heihe River: data set of Hydrometeorological observation network (upper eddy correlator of Daman super station-2013)", "ds_format": "", "ds_source": "The station is located in Daman irrigation area, Zhangye City, Gansu Province, with corn as the underlying surface. The longitude and latitude of the observation point are 100.37223e, 38.85551n, and the altitude is 1556.06m. The frame height of eddy correlator is 34m, the sampling frequency is 10Hz, the ultrasonic direction is due north, and the distance between ultrasonic anemometer and CO2 / H2O analyzer is 17cm
", "ds_quality": "Good data quality
", "ds_ref_way": "", "ds_abstract": "The data set contains the eddy correlator observation data of the upper layer of Daman super station in the middle reaches of Heihe hydrometeorological observation network from September 15, 2012 to December 31, 2013. The station is located in Daman irrigation area, Zhangye City, Gansu Province, with corn as the underlying surface. The longitude and latitude of the observation point are 100.37223e, 38.85551n, and the altitude is 1556.06m. The frame height of eddy correlator is 34m, the sampling frequency is 10Hz, the ultrasonic direction is due north, and the distance between ultrasonic anemometer and CO2 / H2O analyzer is 17cm
\nThe original observation data of eddy correlator is 10Hz, and the released data is the 30 minute data processed by edire 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 30 min flux value output by edire software is also screened:
\n（ 1) Eliminate the data in case of instrument error
\n（ 2) Eliminate the data 1H before and after precipitation
\n（ 3) Eliminate the data with deletion rate greater than 3% every 30min in the 10Hz original data
\n（ 4) Eliminate the observation data of weak turbulence at night (U * less than 0.12M / s)
\nThe 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 are identified in red font. The instrument was calibrated from May 26 to May 30, 2013, and the CO2 / H2O analyzer was repaired from July 13 to September 24, 2013. During this period, the data was missing
\nThe 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 <30, ITC<30）; 1: （ Δ st <100, ITC<100）; The rest are 2). The meaning of data time, for example, 0:30 represents the average of 0:00-0:30; The data is stored in *. XLS format.\n
\nFor hydrometeorological network or station information, please refer to Liu et al. (2018), and for observation data processing, please refer to Liu et al. (2011)
", "ds_time_res": "日", "ds_acq_place": "Heihe River Basin, artificial oasis experimental area in the middle reaches, Daman super station", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The original observation data of eddy correlator is 10Hz, and the released data is the 30 minute data processed by edire software. The main processing steps include:
\nField 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 30 min flux value output by edire software is also screened:
\n（ 1) Eliminate the data in case of instrument error
\n（ 2) Eliminate the data 1H before and after precipitation
\n（ 3) Eliminate the data with deletion rate greater than 3% every 30min in the 10Hz original data
\n（ 4) Eliminate the observation data of weak turbulence at night (U * less than 0.12M / s). 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 are identified in red font. The instrument was calibrated from May 26 to May 30, 2013, and the CO2 / H2O analyzer was repaired from July 13 to September 24, 2013. During this period, the data was missing
\nThe published observation data include:
\nDate / 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 < 30, ITC< 30）; 1: （ Δ st < 100, ITC< 100）; The rest are 2). The meaning of data time, for example, 0:30 represents the average of 0:00-0:30
", "ds_ref_instruction": "This data is generated by \"Heihe eco hydrological remote sensing experiment (hiwater)\". When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the reference part." } }, "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": [ "涡动相关仪", "农田", "水文气象观测网", "感热通量", "二氧化碳通量", "潜热通量" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "大满超级站", "中游人工绿洲试验区" ], "ds_time_tags": [ 2012, 2013 ], "ds_contributors": [ { "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" }, { "true_name": "李新", "email": "lixin@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "车涛", "email": "chetao@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "任志国", "email": "rzgehu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "谭俊磊", "email": "tanjunlei@163.com", "work_for": "中国科学院西北生态环境资源研究院", "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": "遥感及产品" }