该数据集包含了2014年1月1日至2014年12月31日的10m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115.7880E, 40.3491N，海拔480m。涡动相关仪的采集频率是10Hz，架高为5 m，超声朝向是正北向，超声风速仪（Gill&CSAT3（2014年10月9日更换））与CO2/H2O分析仪（Li7500A）之间的距离是18 cm（10月9日后为15cm）。
\n\n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。
\n\n观测试验或站点介绍请参考杨光超等(2015)，数据处理请参考Liu et al. (2013)。
", "ds_source": "自主生产（人工采集）
", "ds_process_way": "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），角度订正，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。
", "ds_quality": "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。4月29日至5月30日由于电源转换器损坏，数据缺失。
", "ds_acq_start_time": "2014-01-01 00:00:00", "ds_acq_end_time": "2014-12-31 00:00:00", "ds_acq_place": "河北省怀来县海河流域", "ds_acq_lon_east": 115.76666666666667, "ds_acq_lat_south": 40.349722222222226, "ds_acq_lon_west": 115.76666666666667, "ds_acq_lat_north": 40.349722222222226, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 3974499, "ds_files_count": 3, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "689f942d-4fb7-4c93-b32d-d1c07220928c.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "用户在使用数据时需按要求对数据及文章进行引用，并对数据来源进行声明。请用户将使用本数据正式发表的文章反\n馈给数据提供者 （smliu@bnu.edu.cn）。 ", "ds_from_station": null, "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e", "ds_serv_man": "李红星 ", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2020-08-21 09:29:12", "last_updated": "2023-08-23 16:46:08", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.431", "i18n": { "en": { "title": "Multi-scale surface flux and meteorological elements observation dataset in the Hai River Basin (Huailai station-eddy covariance", "ds_format": "", "ds_source": "Self production (manual collection)
", "ds_quality": "The 30 minute flux value after processing was also screened: (1) the data when the instrument was wrong was eliminated; (2) the data of 1 hour before and after precipitation was eliminated; (3) the data with the loss rate greater than 10% in every 30 minutes of the original 10 Hz data was eliminated; (4) the observation data with weak turbulence at night (U * less than 0.1 M / s) was eliminated. The average period of observation data is 30 minutes, 48 data in a day, and the missing data is marked as - 6999. Data missing from 29 April to 30 may due to power converter damage.
", "ds_ref_way": "", "ds_abstract": "The data set includes the observation data of 10 m tower eddy correlator from January 1, 2014 to December 31, 2014. The site is located in donghuayuan Town, Huailai County, Hebei Province. The longitude and latitude of the observation point are 115.7880e, 40.3491n and 480m above sea level. The acquisition frequency of the eddy correlator is 10Hz, the frame height is 5m, the ultrasonic direction is north, and the distance between the ultrasonic anemometer (gill & csat3 (replaced on October 9, 2014)) and the CO2 / H2O analyzer (li7500a) is 18cm (15cm after October 9).
\nThe observation data released by the eddy correlator include: date / time, wind direction WDIR (?), horizontal wind speed wnd (M / s), standard deviation of lateral wind speed STD uuy (M / s), ultrasonic virtual temperature TV (k), water vapor density H2O (g / m3), carbon dioxide concentration CO2 (mg / m3), friction velocity ustar (M / s), obkhov length, sensible heat flux HS (w / m2), latent heat flux Le (w / m2) , carbon dioxide flux FC (mg / (M2S)), quality mark of sensible heat flux qa_hs, quality mark of latent heat flux qa_le. 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 is 2). The meaning of data time, for example, 0:30 represents the average of 0:00-0:30; data is stored in *. XLS format.
\nPlease refer to Yang Guangchao et al. (2015) for observation test or site introduction and Liu et al. (2013) for data processing.
", "ds_time_res": "", "ds_acq_place": "", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The published data is the 30 minute data obtained from the post-processing of the original 10 Hz data collected by eddypro software. The main processing steps include: outlier elimination, delay time correction, coordinate rotation (secondary coordinate rotation), angle correction, frequency response correction, ultrasonic virtual temperature correction and density (WPL) correction, etc. At the same time, the quality evaluation of each flux value is mainly the test of atmospheric stability (Δ st) and turbulence similarity characteristics (ITC).
", "ds_ref_instruction": " When using data, users need to reference the data and articles as required, and declare the data source. Users are requested to use this data to publish articles" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/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": [ "潜热通量", "感热通量", "涡动相关仪" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "河北省", "海河流域", "怀来县" ], "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" }, { "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" } ], "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" } ], "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" }