该数据集包含了2014年1月19日至2014年12月31日的黑河水文气象观测网上游阿柔超级站的涡动相关仪观测数据。
\n站点位于青海省祁连县阿柔乡草达坂村，下垫面是高寒草地。观测点的经纬度是100.4643E, 38.0473N，海拔3033m。涡动相关仪的架高3.5m，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（Li7500A）之间的距离是15cm。
\n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：
\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Eddypro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10%的数据；
\n（4）剔除夜间弱湍流的观测数据（u小于0.1m/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1月1-1月18日由于采集器损坏，导致数据缺失。
\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": "站点位于青海省祁连县阿柔乡草达坂村，下垫面是高寒草地。观测点的经纬度是100.4643E, 38.0473N，海拔3033m。
涡动相关仪的架高3.5m，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（Li7500A）之间的距离是15cm。
", "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：
\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10%的数据；
\n（4）剔除夜间弱湍流的观测数据（u*小于0.1m/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。
", "ds_quality": "其中1月1-1月18日由于采集器损坏，导致数据缺失。
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；
", "ds_acq_start_time": "2014-01-19 00:00:00", "ds_acq_end_time": "2014-12-31 00:00:00", "ds_acq_place": "黑河流域", "ds_acq_lon_east": 100.46416666666667, "ds_acq_lat_south": 38.04722222222222, "ds_acq_lon_west": 100.46416666666667, "ds_acq_lat_north": 38.04722222222222, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 3203507, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "022de48f-3d10-47eb-9b69-2889ea9c4c38.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": "李红星", "ds_serv_phone": "0931-4967596 ", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [], "quality_level": 3, "publish_time": "2021-08-27 11:36:33", "last_updated": "2026-02-05 17:39:50", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1581", "i18n": { "en": { "title": "Heihe River Ecological hydrological remote sensing test: hydrometeorological observation network data set (ARJO super station eddy correlator-2014)", "ds_format": "", "ds_source": "The station is located in caodaban village, aro Township, Qilian County, Qinghai Province, with alpine grassland on the underlying surface. The longitude and latitude of the observation point are 100.4643e, 38.0473n and 3033m above sea level
\nThe frame height of eddy correlator is 3.5m, the sampling frequency is 10Hz, the ultrasonic direction is due north, and the distance between ultrasonic anemometer (csat3) and CO2 / H2O analyzer (li7500a) is 15cm
", "ds_quality": "From January 1 to January 18, the data was missing due to the damage of the collector
\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)
\nThe meaning of data time, for example, 0:30 represents the average of 0:00-0:30", "ds_ref_way": "", "ds_abstract": "
The data set contains the eddy correlator observation data of youa Rou super station on Heihe hydrometeorological observation network from January 19, 2014 to December 31, 2014
\nThe station is located in caodaban village, aro Township, Qilian County, Qinghai Province, with alpine grassland on the underlying surface. The longitude and latitude of the observation point are 100.4643e, 38.0473n and 3033m above sea level. The frame height of eddy correlator is 3.5m, the sampling frequency is 10Hz, the ultrasonic direction is due north, and the distance between ultrasonic anemometer (csat3) and CO2 / H2O analyzer (li7500a) is 15cm
\nThe 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:
\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 30min flux value output by eddypro 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 a loss rate greater than 10% every 30min in the 10Hz original data
\n（ 4) Eliminate the observation data of weak turbulence at night (U < EM > less than 0.1M / 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, among which the data is missing due to the damage of the collector from January 1 to January 18
\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
\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": "", "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 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:
\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 a loss rate greater than 10% every 30min in the 10Hz original data
\n（ 4) Eliminate the observation data of weak turbulence at night (U * less than 0.1M / 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 shall be identified in red font
", "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": [ "涡动相关仪", "感热通量", "潜热通量", "二氧化碳通量", "高寒草地", "水文气象观测网" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "阿柔超级站", "上游寒区水文试验区", "黑河流域" ], "ds_time_tags": [ 2014 ], "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" } ], "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" }