该数据集包含了2025年5月29日至2025年12月29日的黑河流域地表过程综合观测网中游巴吉滩戈壁站气象要素观测数据。站点位于甘肃省张掖市城西巴吉滩，下垫面是红砂荒漠。观测点的经纬度是100.23199° E, 38.88170° N，海拔1630m。涡动相关仪的架高4.7m，采样频率是10Hz，超声朝向是正北向，超声风速温度仪为开路涡动相关仪（CSAT3B & Li7500DS）。\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：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：（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原始数据中每30min内缺失率大于10%的数据。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-9999。\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），奥布霍夫长度L（m），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九级（质量标识1-3数据质量好，4-6数据质量较好，7-8数据质量较差（较插补数据好）；9数据质量差））。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
黑河流域地表过程综合观测网或站点信息请参考Liu et al. (2018)和Liu et al. (2023)。", "ds_source": "
黑河流域地表过程综合观测网中游巴吉滩戈壁站
", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "2025-05-29 00:00:00", "ds_acq_end_time": "2025-12-29 00:00:00", "ds_acq_place": "黑河流域地表过程综合观测网中游巴吉滩戈壁站", "ds_acq_lon_east": 100.23194444444445, "ds_acq_lat_south": 38.88166666666667, "ds_acq_lon_west": 100.23194444444445, "ds_acq_lat_north": 38.88166666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 1357204, "ds_files_count": 0, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "30 min", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "9d0231b3-b9aa-49ec-9622-f1d1e6ec843a.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": "", "organization_id": "7314e349-6d56-45d3-93c1-5068a74cdfde", "ds_serv_man": "", "ds_serv_phone": "", "ds_serv_mail": "", "doi_value": "", "subject_codes": [ "170.15", "170.45", "170.55" ], "quality_level": 0, "publish_time": "2026-07-07 15:56:14", "last_updated": "2026-07-07 16:17:07", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.heihe.db7617.2026", "i18n": { "en": { "title": "Dataset of Heihe integrated observatory network (eddy covariance system of Bajitan Gobi station, 2025)", "ds_format": "*.xlsx", "ds_source": "Desert station in the midstream of the Heihe integrated observatory network", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "This dataset contains the flux measurements from the desert station eddy covariance system (EC) in the midstream of the Heihe integrated observatory network from May 29 to December 29 in 2025. The site (100.23199° E, 38.88170° N) was located in the Bajitan, Zhangye City. The elevation is 1630 m. The EC was installed at a height of 4.7 m, and the sampling rate was 10 Hz. The sonic anemometer faced north, and the type of eddy covariance was closed-path (CSAT3B&Li7500DS).\r\n
The raw data acquired at 10 Hz were processed using the Eddypro post-processing software, including the spike detection, lag correction of H2O/CO2 relative to the vertical wind component, sonic virtual temperature correction, coordinate rotation (2-D rotation), corrections for density fluctuation (Webb-Pearman-Leuning correction), and frequency response correction. The EC data were subsequently averaged over 30 min periods. The observation data quality was divided into three classes according to the quality assessment method of stationarity (Δst) and the integral turbulent characteristics test (ITC): class 1-3 (high quality), class 4-6 (good), class 7-8 (poor, better than gap filling data), class9 (rejected). In addition to the above processing steps, the half-hourly flux data were screened in a four-step procedure: (1) data from periods of sensor malfunction were rejected; (2) data collected before or after 1 h of precipitation were rejected; (3) incomplete 30 min data were rejected when the missing data constituted more than 10% of the 30 min raw record. There were 48 records per day, and the missing data were replaced with -9999. Suspicious data were marked in red. \r\n
The released data contained the following variables: data/time, wind direction (Wdir, °), wind speed (Wnd, m/s), the standard deviation of the lateral wind (Std_Uy, m/s), virtual temperature (Tv, ℃), H2O mass density (H2O, g/m3), CO2 mass density (CO2, mg/m3), friction velocity (ustar, m/s), stability (L), sensible heat flux (Hs, W/m2), latent heat flux (LE, W/m2), carbon dioxide flux (Fc, mg/ (m2s)), quality assessment of the sensible heat flux (QA_Hs), quality assessment of the latent heat flux (QA_LE), and quality assessment of the carbon flux (QA_Fc). In this dataset, the time of 0:30 corresponds to the average data for the period between 0:00 and 0:30; the data were stored in *.xls format. Detailed information can be found in the suggested references.\r\n
For more information, please refer to Liu et al. (2018) and Liu et al. (2023).", "ds_time_res": "", "ds_acq_place": "", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "ds_ref_instruction": "" } }, "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": [ "黑河流域地表过程综合观测网", "涡动相关仪", "感热通量", "潜热通量", "二氧化碳通量" ], "ds_subject_tags": [ "大气科学", "地理学", "水文学" ], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "中游人工绿洲试验区", "巴吉滩戈壁站" ], "ds_time_tags": [ 2025 ], "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" }, { "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": "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" }, { "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": "张阳", "email": "zhangyang@lzb.ac.cn", "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": "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" }, { "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": "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" }, { "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": "张阳", "email": "zhangyang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "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" }