该数据集包含了黑河流域地表过程综合观测网上游阿柔站的大孔径闪烁仪通量观测数据。上游阿柔站分别架设了BLS900和RR-RSS460型号的大孔径闪烁仪，北塔为RR-RSS460的接收端和BLS900的发射端，南塔为RR-RSS460的发射端和BLS900的接收端。观测时间为2022年1月1日至2022年12月31日。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。北塔的经纬度是100.4712E，38.0568N，南塔的经纬度是100.4572E，38.0384N，海拔高度约3033m。大孔径闪烁仪的有效高度13.0m，光径长度是2390m，采样频率是1min。 大孔径闪烁仪原始观测数据为1min，发布的数据为经过处理与质量控制后的数据，其中感热通量主要是结合自动气象站观测数据，基于莫宁-奥布霍夫相似理论通过迭代计算得到，主要的质量控制步骤包括：（1）剔除Cn2达到饱和的数据（BLS900：Cn2>7.25E-14，RR-RSS460：Cn2>7.84 E-14）；（2）剔除解调信号强度较弱的数据（BLS900：Average X Intensity<1000；RR-RSS460：Demod>-20mv）；（3）剔除降水时刻的数据；（4）剔除稳定条件下的弱湍流的数据（u*小于0.1m/s）。在迭代计算过程中，对于BLS900，选取Thiermann and Grassl(1992)的稳定度普适函数；对于RR-RSS460，选取Andreas(1988)的稳定度普适函数，详细介绍请参考Liu et al. (2011, 2013)。由于仪器调整和供电不足，大孔径闪烁仪数据由于信号和供电等问题缺失的日期为：2022.10.24-2022.12.18。 关于发布数据的几点说明：（1）上游LAS数据以BLS900为主，缺失时刻由RR-RSS460观测补充，两者都缺失则以-6999标记。（2）数据表头：Date/Time ：日期/时间（格式：yyyy/m/d h:mm），Cn2 ：空气折射指数结构参数（单位：m-2/3），H ：感热通量（单位：W/m2）。数据时间的含义，如0:30代表0:00-0:30的平均；数据以*.xlsx格式存储。 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)，观测数据处理请参考Liu et al. (2011)。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "2022-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "阿柔超级站", "ds_acq_lon_east": 100.47111111111111, "ds_acq_lat_south": 38.038333333333334, "ds_acq_lon_west": 100.45722222222223, "ds_acq_lat_north": 38.056666666666665, "ds_acq_alt_low": 3033.0, "ds_acq_alt_high": 3033.0, "ds_share_type": "apply-access", "ds_total_size": 753378, "ds_files_count": 2, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "626a5595-d94c-4fcc-9feb-f919827d09d7.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "7314e349-6d56-45d3-93c1-5068a74cdfde", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.5530" ], "quality_level": 3, "publish_time": "2026-03-31 09:32:16", "last_updated": "2026-04-03 15:26:24", "protected": false, "protected_to": null, "lang": "zh", "cstr": null, "i18n": { "en": { "title_en": "Dataset of Heihe integrated observatory network: Large aperture scintillometer of Arou Superstation, 2022", "ds_format_en": "CSV", "ds_source_en": "
Derived from the flux observation of large aperture scintillation instrument at Aruo Station on the comprehensive observation network of surface processes in the Heihe River Basin.", "ds_quality_en": "
The main quality control steps include: (1) removing data with Cn2 saturation (BLS900: Cn2>7.25E-14, RR-RSS460: Cn2>7.84 E-14); (2) Exclude data with weak demodulation signal strength (BLS900: Average X Intensity<1000; RR-RSS460: Demod>-20mv); (3) Exclude data from precipitation time; (4) Exclude data with weak turbulence under stable conditions (u * less than 0.1m/s). In the iterative calculation process, for BLS900, Thiermann and Grassl's (1992) stability universal function is selected; For RR-RSS460, Andreas' (1988) stability universal function is selected. For a detailed introduction, please refer to Liu et al. (2011, 2013).", "ds_ref_way_en": "", "ds_abstract_en": "", "ds_time_res_en": "", "ds_acq_place_en": "Aruo Super Station", "ds_space_res_en": "", "ds_projection_en": "", "ds_process_way_en": "
The raw observation data of the large aperture scintillation instrument is 1 minute, and the released data is processed and quality controlled. The sensible heat flux is mainly calculated iteratively based on the Mourning Obhoff similarity theory, combined with the observation data of automatic weather stations.", "ds_ref_instruction_en": "" } }, "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, "ds_topic_tags": [ "显热通量", "水文", "阿柔超级站" ], "ds_subject_tags": [ "水文测量" ], "ds_class_tags": [], "ds_locus_tags": [ "阿柔超级站", "黑河流域上游" ], "ds_time_tags": [ 2022 ], "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": "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": "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": "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" }, { "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": "李新", "email": "xinli@itpcas.ac.cn", "work_for": "中国科学院青藏高原研究所", "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": "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": "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": "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" }, { "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": "李新", "email": "xinli@itpcas.ac.cn", "work_for": "中国科学院青藏高原研究所", "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" }