对上甸子站2018年采集的分钟级气溶胶散射系数数据首先进行观测员级质控；其次，在数据质控软件支持下经专家级质控生成小时数据；再由小时数据合成日数据集。日数据集包括采集时间（CollectTime）、设备名称（DeviceName）、数据值（DataValue）、最大值（DataValueMax）、最大值出现时间（DataValueTMx）、最小值（DataValueMin）、最小值出现时间（DataValueTMn）等信息，可进行气溶胶散射系数数据的日变化分析等应用。
", "ds_source": "采用Ec0tech公司生产的Aurora1000型浊度仪析仪采集气溶胶散射系数分钟级数据，数据单位为Mm^-1，数据格式为Excel(*.xls)格式。
", "ds_process_way": "原始数据首先经过奇异值筛选，剔除有问题的观测数据。然后根据质控算法对数据进行校正，最后根据有效数据量进行小时均值和日均值计算。
", "ds_quality": "数据经过观测员级和专家级两级质控，数据质量良好。
", "ds_acq_start_time": "2018-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "北京市密云区高岭镇上甸子村后山上甸子区域大气本底站内", "ds_acq_lon_east": 117.13277777777778, "ds_acq_lat_south": 40.63305555555556, "ds_acq_lon_west": 117.06666666666666, "ds_acq_lat_north": 40.99805555555556, "ds_acq_alt_low": 293.1, "ds_acq_alt_high": 293.5, "ds_share_type": "login-access", "ds_total_size": 50688, "ds_files_count": 2, "ds_format": "xls", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "354ca9d4-d7f3-4368-8d46-8895a9aa9379.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "在使用数据时，请注明“北京上甸子大气本底站2018年气溶胶散射系数日数据集数据来自北京上甸子大气本底站 ”", "ds_from_station": null, "organization_id": "5bbdb7c9-88ca-4011-af74-f1eb6b162e28", "ds_serv_man": "权维俊", "ds_serv_phone": "010-58991325", "ds_serv_mail": "quanquan78430@163.com", "doi_value": "", "subject_codes": [ "170.1515" ], "quality_level": 3, "publish_time": "2020-12-16 09:04:18", "last_updated": "2023-08-23 17:04:03", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.SDZRAW.2020.24", "i18n": { "en": { "title": "Aerosol scattering coefficient daily data set of Beijing Shangdianzi atmosphere watch station 2018", "ds_format": "xls", "ds_source": "The Aurora1000 turbidity analyzer produced by Ec0tech company is used to collect minute level data of aerosol scattering coefficient, with a data unit of Mm ^ -1 and a data format of Excel (*. xls)
", "ds_quality": "The data has undergone two levels of quality control: observer level and expert level, and the data quality is good
", "ds_ref_way": "", "ds_abstract": "Firstly, perform observer level quality control on the minute level aerosol scattering coefficient data collected at Shangdianzi Station in 2018; Secondly, with the support of data quality control software, hourly data is generated through expert level quality control; Then, hourly data is combined into a daily dataset. The daily dataset includes information such as CollectTime, DeviceName, DataValue, DataValueMax, DataValueTMx, DataValueMin, and DataValueTMn, which can be used for daily variation analysis of aerosol scattering coefficient data
", "ds_time_res": "日", "ds_acq_place": "In the atmospheric background station of Shangdianzi District, Houshan, Shangdianzi Village, Gaoling Town, Miyun District, Beijing", "ds_space_res": "", "ds_projection": "", "ds_process_way": "First, the original data is filtered by singular values to eliminate the problematic observation data. Then, the data is corrected according to the quality control algorithm, and the hourly and daily mean values are calculated based on the effective data volume
", "ds_ref_instruction": "When using the data, please indicate that \"the daily dataset of aerosol scattering coefficients for 2018 at Beijing Shangdianzi Atmospheric Background Station comes from Beijing Shangdianzi Atmospheric Background Station\"" } }, "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, "ds_topic_tags": [ "上甸子", "气溶胶散射系数", "大气本底" ], "ds_subject_tags": [ "大气化学" ], "ds_class_tags": [], "ds_locus_tags": [ "高岭镇", "上甸子", "密云区", "北京市" ], "ds_time_tags": [ 2018 ], "ds_contributors": [ { "true_name": "石庆峰", "email": "sqshi@ium.cn", "work_for": "北京城市气象研究院", "country": "中国" }, { "true_name": "蒲维维", "email": "wwpu@ium.cn", "work_for": "北京城市气象研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "权维俊", "email": "quanquan78430@163.com", "work_for": "京津冀环境气象预报预警中心", "country": "中国" }, { "true_name": "敏玉芳", "email": "myf@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": "权维俊", "email": "quanquan78430@163.com", "work_for": "京津冀环境气象预报预警中心", "country": "中国" }, { "true_name": "石庆峰", "email": "sqshi@ium.cn", "work_for": "北京城市气象研究院", "country": "中国" } ], "category": "大气本底" }