该数据集包含了2012年5月31日至9月15日的通量观测矩阵中戈壁站涡动相关通量观测数据。站点位于甘肃省张掖市，下垫面是戈壁。观测点的经纬度是100.30420E, 38.91496N，海拔1562.00m。涡动相关仪架高4.6m，采样频率是10Hz，超声朝向是正北向，超声风速仪与CO2/H2O分析仪之间的距离是15cm。\n
\n涡动相关仪的原始观测数据为10Hz，发布的数据是采用Edire软件后处理的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。\n
\n对Edire软件输出的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3%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。因仪器漂移等原因引起的可疑数据用红色字体标识。\n
\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多尺度观测试验或站点信息请参考Liu et al. (2016)，观测数据处理请参考Xu et al.(2013)。
", "ds_source": "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。
", "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软件后处理的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：（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3%的数据；（4）剔除夜间弱湍流的观测数据（u*小于0.1m/s）。
", "ds_quality": "数据质量良好
", "ds_acq_start_time": "2012-05-31 00:00:00", "ds_acq_end_time": "2012-09-15 00:00:00", "ds_acq_place": "黑河流域, 中游人工绿洲试验区, 通量观测矩阵", "ds_acq_lon_east": 100.30416666666666, "ds_acq_lat_south": 38.914722222222224, "ds_acq_lon_west": 100.30416666666666, "ds_acq_lat_north": 38.914722222222224, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 795104, "ds_files_count": 3, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "d88b8e7d-b37b-4eb1-831c-214c6d7ab5c9.png", "ds_thumb_from": 2, "ds_ref_way": "刘绍民，黑河生态水文遥感试验：非均匀下垫面地表蒸散发的多尺度观测试验-通量观测矩阵数据集（戈壁站涡动相关仪-2012），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2020，doi：10.12072/ncdc.NIEER.db0031.2020", "paper_ref_way": "", "ds_ref_instruction": "为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。", "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": null, "quality_level": 3, "publish_time": "2021-08-27 11:03:23", "last_updated": "2021-08-27 11:03:23", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1583", "i18n": { "en": { "title": "Heihe River eco hydrological remote sensing experiment: multi-scale observation experiment of surface evapotranspiration on non-uniform underlying surface - flux observation matrix data set (Gobi station eddy correlator-2012)", "ds_format": "", "ds_source": "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 <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
", "ds_quality": "Good data quality
", "ds_ref_way": "Liu Shaomin, Heihe eco hydrological remote sensing experiment: multi-scale observation experiment of surface evapotranspiration on non-uniform underlying surface - flux observation matrix data set (Gobi station eddy correlator-2012), national glacier, frozen soil and desert Science Data Center (www.ncdc. Ac.cn), 2020, DOI: 10.12072/ncdc.nieer.db0031.2020", "ds_abstract": "The data set contains the eddy related flux observation data of Gobi station in the flux observation matrix from May 31 to September 15, 2012. The station is located in Zhangye City, Gansu Province, with Gobi as its underlying surface. The longitude and latitude of the observation point are 100.30420e, 38.91496n and 1562.00m above sea level. The eddy correlator frame is 4.6m high, the sampling frequency is 10Hz, the ultrasonic direction is due north, and the distance between the ultrasonic anemometer and CO2 / H2O analyzer is 15cm.\n
\nThe original observation data of eddy correlator is 10Hz. The released data is the 30 minute data post 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).\n
\nThe 30 min flux value output by edire software is also screened: (1) eliminate the data when the instrument is wrong（ 2) Eliminate the data 1H before and after precipitation（ 3) Eliminate the data with a loss rate of more than 3% every 30min of 10Hz original data（ 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. Suspicious data caused by instrument drift and other reasons shall be identified in red font.\n
\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 multi-scale observation test or site information, please refer to Liu et al. (2016), and for observation data processing, please refer to Xu et al. (2013)
", "ds_time_res": "日", "ds_acq_place": "Heihe River Basin, artificial oasis experimental area in the middle reaches, flux observation matrix", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The original observation data of eddy correlator is 10Hz. The released data is the 30 minute data post 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: (1) eliminate the data when the instrument is wrong（2) Eliminate the data 1H before and after precipitation（3) Eliminate the data with a loss rate of more than 3% every 30min of 10Hz original data（ 4) Eliminate the observation data of weak turbulence at night (U * less than 0.1M / s)
", "ds_ref_instruction": " \nIn order to respect intellectual property rights, protect the rights and interests of data authors, expand the services of the data center and evaluate the application potential of data, data users are requested to clearly indicate the data source and data author in the research results generated by using data (including published papers, treatises, data products, unpublished research reports, data products, etc.). For reprinted (secondary or multiple releases) data, the author must also indicate the source of the original data." } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 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, "belong_to_nieer": false, "ds_topic_tags": [ "水文气象", "二氧化碳通量", "感热通量", "潜热通量", "涡动相关仪", "大气辐射", "大气风", "风向", "风速" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中游人工绿洲试验区", "通量观测矩阵", "黑河流域" ], "ds_time_tags": [ 2012 ], "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": "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": "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" }, { "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": "黑河计划数据管理中心", "email": "westdc@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "" }, { "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" }