本数据集整合了课题组近年来在青藏高原及其周边地区多个偏远背景站点和城市站点开展的大气气溶胶综合观测研究数据。不同站点的观测研究通过部署一些列先进的高分辨率在线观测仪器，实时在线监测获取不同区域大气气溶胶物理、化学和光学特性的高时间分辨率动态演化，包括大气亚微米气溶胶的化学组分、粒径分布、酸性和日变化特征、有机气溶胶的高分辨率质谱和组分因子、气溶胶颗粒物的数浓度粒径谱分布、气溶胶颗粒物散射和吸光特性、不同波长下黑碳和棕色碳气溶胶吸光贡献、云凝结核数浓度以及气态污染物浓度等高时间分辨率在线观测数据。该数据集的发布可为大气科学、冰冻圈科学和环境科学等相关研究提供基础数据。", "ds_source": "
本数据集所有原始数据均通过高分辨在线观测仪器实时监测获取，其中：\n
1）高分辨率飞行时间气溶胶质谱仪（HR-ToF-AMS）在线监测非难熔性大气亚微米气溶胶的化学组分和粒径分布，通过数据分析进一步获取日变化、酸度、有机气溶胶高分辨率质谱、组分因子和元素比等数据；\n
2）扫描电迁移率粒径谱仪（SMPS）在线监测大气亚微米气溶胶颗粒物数浓度粒径谱分布；\n
3）光声消光仪（PAX）在线获取405 nm波段气溶胶颗粒物的散射和吸光特性；\n
4）黑碳仪（Aethalometer）在线获取七个不同波段气溶胶颗粒物的吸光系数；\n
5）云凝结核分析仪（CCN-100）在线监测不同饱和水汽压下云凝结核颗粒物的数浓度；\n
6）一套气体分析仪（Gas Analyzers）实时监测CO、CO2、NOX、O3、SO2等气态污染物浓度；", "ds_process_way": "
本数据集所有数据均通过Igor Pro软件分析处理，其中：\n
1）HR-ToF-AMS数据通过其内置标准数据处理工具包SQUIRREL和PIKA分析处理；\n
2）有机气溶胶来源解析使用正交矩阵因子（PMF）分析方法处理；\n
3）其他数据采用常规数据处理方法获取均值、日变化等信息；", "ds_quality": "
1）所有观测仪器在观测前后均按照标准流程进行校准，以确保观测数据准确性；\n
2）观测数据严格质量控制，剔除仪器故障和人为影响等干扰数据；\n
3）不同仪器数据对比分析，确保观测数据一致性和同步性；", "ds_acq_start_time": "2015-01-01 00:00:00", "ds_acq_end_time": "2021-12-31 00:00:00", "ds_acq_place": "青藏高原及其周边地区（珠峰、墨脱、纳木错、瓦里关、老虎沟、巴音布鲁克和拉萨站点）", "ds_acq_lon_east": 100.9, "ds_acq_lat_south": 28.359722222222224, "ds_acq_lon_west": 84.31666666666666, "ds_acq_lat_north": 42.830000000000005, "ds_acq_alt_low": 1305.0, "ds_acq_alt_high": 4730.0, "ds_share_type": "open-access", "ds_total_size": 7453102, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "小时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "e9ea2350-685f-4126-bb7b-ca372790efa3.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.NIEER.db2200.2022", "subject_codes": [ "170.15" ], "quality_level": 3, "publish_time": "2022-06-17 16:36:07", "last_updated": "2022-06-23 17:21:47", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.db2200.2022", "i18n": { "en": { "title": "High-time-resolution dataset of atmospheric aerosols over the Tibetan Plateau and its surroundings (2015-2021)", "ds_format": "", "ds_source": "
All original data in this dataset are acquired on-line by the high-resolution real-time observation instruments.\n
1) A high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS) is used to measure the size-resolved chemical compositions of non-refractory submicron aerosol, and further to obtain the diurnal variation, bulk acidity, as well as the high-resolution mass spercrum, component factors, and elemental ratios of organic aerosols;\n
2) A scanning mobility particle sizer (SMPS) is used to acquire the size distribution of number concentration of submicron particles;\n
3) A photoacoustic extinctiometer (PAX) is used to acquire the
4) An Aethalometer is used to acquire the particle light absorption coefficients at seven different wavelengths;\n
5) A cloud condensation nuclei (CCN) counter is used to acquire the number concentration of CCN at different supersaturation of water vapor;\n
6) A suite of gas analyzers is used to acquire the concentrations of gaseous pollutants of CO, CO2, NOX, O3, and SO2.", "ds_quality": "
1) All instruments are calibrated according to their standard calibration protocols at the beginning and end of each observation to ensure the data accuracy;\n
2) Strictly quality control of the observation data such as eliminate the interference data due to the instrument failure and artificial influence;\n
3) Comparison of data from different instruments to ensure the consistency and synchronization of observation data;", "ds_ref_way": "", "ds_abstract": "
The dataset integrates the comprehensive observational data of atmospheric aerosols at several remote background and urban sites over the Tibetan Plateau (TP) and its surroundings in recent years by our group team. The high-time-resolution dynamic evolution of aerosol physical, chemical, and optical properties in the different TP sites are measured on-line by deploying a suite of advanced high-resolution real-time instruments. The chemical composition, size distribution, bulk acidity, and diurnal variation of submicron aerosols, the high-resolution mass spectrum and components of organic aerosols (OAs), the size distribution of particle number concentration, the particle light scattering and absorption coefficients, the light absorption contributions of black carbon (BC) and brown carbon (BrC) at different wavelengths, the number concentration of cloud condensation nucleus (CCN), and concentrations of gaseous pollutants are obtained. The release of this dataset can provide basic data for related researches in atmospheric, cryospheric, and environmental sciences.
", "ds_time_res": "小时", "ds_acq_place": "Tibetan Plateau (TP) and its surroundings (QOMS, Motuo, NamCo, Waliguan, LHG, Bayanbulak, and Lhasa sites)", "ds_space_res": "", "ds_projection": "", "ds_process_way": "All data in this dataset are processed using the Igor Pro software.\n
1) The HR-TOF-AMS data is processed using the standard data analysis software with SQUIRREL and PIKA toolkits written in Igor Pro;\n
2) Source apportionment of organic aerosol is conducted by the positive matrix factorization (PMF) analysis method;\n
3) Other data are processed by the conventional data processing methods to obtian the mean value, diurnal variation, etc.;", "ds_ref_instruction": " " } }, "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, "is_paper_in_submitting": false, "ds_topic_tags": [ "大气气溶胶", "高时间分辨率", "在线观测" ], "ds_subject_tags": [ "大气科学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "ds_time_tags": [ 2015, 2016, 2017, 2018, 2019, 2020, 2021 ], "ds_contributors": [ { "true_name": "徐建中", "email": "jzxu@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": "徐建中", "email": "jzxu@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": "徐建中", "email": "jzxu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "气象" }