全球臭氧（O3）数据集介绍是全球的三维（经度、纬度、高度）臭氧数据。本数据集的制作供使用了全球392个站点观测的臭氧探空数据。其中有141个臭氧探空仪站点观测的臭氧垂直分布数据，包括世界臭氧和紫外辐射数据中心（World Ozone and Ultraviolet Radiation Data Centre，WOUDC）和南半球附加臭氧探空仪（Southern Hemisphere ADditional OZonesondes，SHADOZ)数据集。此外还有251个全球观测系统在役飞机（In-service Aircraft for a Global Observing System，IAGOS)飞机观测臭氧垂直探空数据。\n
数据集制备方法源自多伦多大学Liu Jane教授的TOST数据集制作方法（Liu et al., 2013）。数据集由全球臭氧探测记录通过轨迹映射得出，为了使空间更广，使用了96小时的前向和后向轨迹计算，以1公里的高度间隔将臭氧测量值 映射到其他一些位置，具体方法介绍参见文献Liu et al., 2013和Zang et al., 2024。后向轨迹使用NOAA空气资源实验室（NOAAARL）开发的HYSPLIT模型4.8版计算获得，轨道模型的气象输入是全球NOAA-NCEP/NCAR（国家环境预测中心/国家大气研究中心）压力级再分析数据集。全球O3数据集的水平分辨率为2°×2°，垂直分辨率为1km，垂直方向共有26层，单位为ppbv，时间为1990-2022年。\n
WOUDC是世界气象组织（WMO）全球大气观测计划（Global Atmosphere Watch Programme，GAW）的六个世界数据中心之一。WOUDC 数据中心由加拿大环境和气候变化部分支下的加拿大气象局运营。本数据集所用WOUDC数据的观测时间为1990-2022年。WOUDC O3探空数据的测量仪器主要由四种the brewer-mast探测器、Indian-sonde探测器、Electrochemical Concentration Cell (ECC)探测器和carbon-iodine 探测器，其中最主要的测量仪器是ECC与Brewer-Mast(BM)探测器。当正确使用时，这两种探测器测得O3浓度的精度均大约在5%之内，实际上在对流层的绝对精度大约是10%。SHADOZ旨在通过协调发射、在某些情况下提供附加探空仪以及提供中央存档位置来弥补这种数据差异。自 1998 年以来，臭氧探空仪数据已收集并通过本网站提供，共有7个站点，使用ECC探测仪。\n
IAGOS 是一项欧洲研究项目， 其利用搭载在商用飞机上的观测仪器在飞机的起飞和降落过程中进行全球大气成分观测，提供关于全球范围内空气质量和气候变化的基本数据（https://www.iagos.org）。飞机配备了在 253.7nm 波段下运行的双光束紫外线吸收监测仪自动测量和校正臭氧浓度。臭氧测量响应时间（时间分辨率） 为 4 秒，臭氧浓度精度为±2ppbv。\n
从臭氧观测网络中获取 1990-2022年间的臭氧观测数据后，我们首先将具有不同垂直分辨率的臭氧观测记录统一插值成垂直分辨率为1 km的臭氧垂直廓线数据，也就是说，我们通过插值计算了 0.5，1.5，……， 25.5 千米高度上的臭氧体积混合比（ppbv），最终获得全球个点臭氧观测数据集。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "1990-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": 90.0, "ds_acq_lon_west": 180.0, "ds_acq_lat_north": 90.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 485486316, "ds_files_count": 0, "ds_format": "*txt", "ds_space_res": "2°", "ds_time_res": "年代际/年/月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "6beca887-282d-4da4-8b85-2a333e253a30.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170" ], "quality_level": 0, "publish_time": "2026-07-28 12:44:36", "last_updated": "2026-07-28 12:52:04", "protected": false, "protected_to": "2027-01-24 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.atmosphere.db7691.2026", "i18n": { "en": { "title": "Global 2°×2° Ozone Vertical Stratification Dataset", "ds_format": "*txt", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
The introduction of the global O3 dataset is global three-dimensional (longitude, latitude, altitude) ozone data. The production of this dataset uses ozone sounding data observed at 392 stations around the world. Among them are ozone vertical distribution data observed by 141 ozone sonde stations, including the World Ozone and Ultraviolet Radiation Data Centre (WOUDC) and the Southern Hemisphere ADDITIONAL OZonesondes (SHADOZ) data sets. In addition, 251 In-service Aircraft for a Global Observing System (IAGOS) aircraft observed ozone vertical sounding data. The data set is mapped from global ozone detection records through trajectory mapping. In order to make the space wider, 96 hours of forward and backward trajectory calculations were used to map ozone measurements to other locations at 1-kilometer altitude intervals. The backward trajectory is calculated using version 4.8 of the HYSPLIT model developed by the NOAA Air Resources Laboratory (NOAAARL). The meteorological input to the orbit model is the global NOAA-NCEP/NCAR (National Center for Environmental Prediction/National Center for Atmospheric Research) pressure level reanalysis data set. The horizontal resolution of the global O3 dataset is 2°×2° and the vertical resolution is 1km. There are 26 layers in the vertical direction, in ppbv, and the time period is 1990-2022.\r\n
WOUDC is one of six world data centers of the World Meteorological Organization's (WMO) Global Atmosphere Watch Programme (GAW). The WOUDC Data Center is operated by the Canadian Meteorological Agency, a branch of the Canada Environment and Climate Change Section. The observation time of WOUDC data used in this dataset is from 1990 to 2022. The measurement instruments for WOUDC O3 sounding data mainly consist of four types: the brewer-mast detector, the Indian-sonde detector, the Electrochemical Concentration Cell (ECC) detector and the carbon-iodine detector. The most important measurement instruments are the ECC and Brewer-Mast(BM) detectors. When used correctly, both detectors measure O3 concentrations with an accuracy of about 5%, and in fact the absolute accuracy in the troposphere is about 10%. SHADOZ aims to compensate for this data gap by coordinating launches, providing additional sondes in some cases, and providing a central archiving location. Since 1998, ozone sonde data has been collected and made available through this website, with a total of 7 stations using ECC detectors.\r\n
IAGOS is a European research project that uses observation instruments mounted on commercial aircraft to conduct global atmospheric composition observations during take-off and landing of aircraft, providing basic data on global air quality and climate change (https://www.iagos.org). The aircraft is equipped with a dual-beam ultraviolet absorption monitor operating in the 253.7nm band to automatically measure and correct ozone concentrations. The ozone measurement response time (time resolution) is 4 seconds, and the ozone concentration accuracy is ±2ppbv.\r\n
After obtaining ozone observation data from the ozone observation network between 1990 and 2022, we first uniformly interpolated ozone observation records with different vertical resolutions into ozone vertical profile data with a vertical resolution of 1 km. That is to say, we calculated the ozone volume mixing ratio (ppbv) at altitudes of 0.5, 1.5,..., 25.5 kilometers through interpolation, and finally obtained a global individual ozone observation data set.", "ds_time_res": "", "ds_acq_place": "global", "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": [ "臭氧", "垂直分布", "时间演变" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 ], "ds_contributors": [ { "true_name": "王红磊", "email": "hongleiwang@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" }, { "true_name": "赵天良", "email": "tlzhao@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" }, { "true_name": "曹乐", "email": "le.cao@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" }, { "true_name": "侯雪伟", "email": "houxw@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "王红磊", "email": "hongleiwang@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" } ], "ds_managers": [ { "true_name": "王红磊", "email": "hongleiwang@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" } ], "category": "地球化学" }