气溶胶单次散射反照率（SSA）是评估气溶胶辐射效应和识别气溶胶类型的关键参数。然而，当前基于卫星的SSA反演结果既有限又存在较高不确定性，而更准确的地基观测则面临全球覆盖不足的问题。本数据应用集合卡尔曼滤波（EnKF）数据融合技术，通过融合OMI和POLDER数据与AERONET观测，生成了两个陆地月平均SSA数据集，分别称为Merged-OMI数据集和Merged-POLDER数据集。
\n这两个数据集以NETCDF4格式提供，纬度范围为-89.5°至89.5°，经度范围为-179.5°至179.5°，空间分辨率为1°。Merged-OMI数据集提供了2004年10月至2023年12月440 nm处的SSA；Merged-POLDER数据集则包含了2005年3月至2013年12月440 nm、550 nm、670 nm、865 nm和1020 nm处的SSA。", "ds_source": "
数据来源于zenodo网站https://zenodo.org/records/15268786。", "ds_process_way": "
本数据应用采用集合卡尔曼滤波（EnKF）数据融合技术，将OMI和POLDER的数据与AERONET的观测结果相结合，生成两个陆地月平均单次散射反照率（SSA）数据集。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2004-10-01 00:00:00", "ds_acq_end_time": "2023-12-31 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": 179.5, "ds_acq_lat_south": -85.5, "ds_acq_lon_west": -175.5, "ds_acq_lat_north": 89.5, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 404425145, "ds_files_count": 2, "ds_format": "NETCDF4", "ds_space_res": "1°", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "284635cc-ec1f-436b-b502-b6482999725f.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.15" ], "quality_level": 3, "publish_time": "2026-01-30 17:36:42", "last_updated": "2026-01-30 17:36:42", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB7081.2026", "i18n": { "en": { "title": "Merged-OMI and Merged-POLDER aerosol single scattering albedo", "ds_format": "NETCDF4", "ds_source": "
Data sourced from Zenodo website https://zenodo.org/records/15268786 .", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
Aerosol single scattering albedo (SSA) is a key parameter for evaluating aerosol radiative effects and identifying aerosol type. However, current satellite-based SSA retrievals are both limited and subject to high uncertainty, while more accurate ground-based observations suffer from insufficient global coverage. Here we apply an Ensemble Kalman Filter (EnKF) data synergy technique to generate two monthly mean SSA datasets over land by synergizing OMI and POLDER data with AERONET observations. These two datasets are referred to as Merged-OMI and Merged-POLDER.\nThe two datasets are available in NETCDF4 format, spanning latitudes from -89.5° to 89.5° and longitudes from -179.5° to 179.5°, at 1° spatial resolution. The Merged-OMI dataset provides SSA at 440 nm from October 2004 to December 2023, while the Merged-POLDER dataset includes SSA at 440, 550, 670, 865, and 1020 nm from March 2005 to December 2013.
", "ds_time_res": "", "ds_acq_place": "global", "ds_space_res": "1°", "ds_projection": "", "ds_process_way": "This data application uses ensemble Kalman filtering (EnKF) data fusion technology to combine OMI and POLDER data with AERONET observation results to generate two land monthly average single scattering albedo (SSA) datasets.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "OMI", "POLDER", "气溶胶" ], "ds_subject_tags": [ "大气科学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 ], "ds_contributors": [ { "true_name": "李婧", "email": "jing-li@pku.edu.cn", "work_for": "北京大学物理学院大气与海洋科学系气候与海洋-大气实验室", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "李婧", "email": "jing-li@pku.edu.cn", "work_for": "北京大学物理学院大气与海洋科学系气候与海洋-大气实验室", "country": "中国" } ], "ds_managers": [ { "true_name": "李婧", "email": "jing-li@pku.edu.cn", "work_for": "北京大学物理学院大气与海洋科学系气候与海洋-大气实验室", "country": "中国" } ], "category": "气象" }