先进微波扫描辐射计（AMSR）系列传感器（包括 AMSR-E 与 AMSR2）获取的被动微波亮温（TBs）数据，已广泛应用于北极地区海洋、海冰和积雪监测。然而，大气吸收与发射效应（主要由水汽和云液态水引起）会影响卫星观测亮温，并进一步传递到地球物理参数反演结果中。本数据集构建了一套 2002–2025 年经大气校正的 AMSR-E 和 AMSR2 亮温数据集。该数据集包含 6–89 GHz 双极化亮温观测、时空匹配的大气与地表变量，以及质量控制标识。基于 ERA5 再分析资料驱动辐射传输模型估算大气影响；利用水体、海冰样本以及 MOSAiC 科考航次的实地观测数据完成数据集质量评估。该数据集可为北极海洋、海冰与积雪反演算法的开发和验证提供宝贵资料。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "2002-01-01 00:00:00", "ds_acq_end_time": "2025-12-31 00:00:00", "ds_acq_place": "北极", "ds_acq_lon_east": -180.0, "ds_acq_lat_south": 60.0, "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": 1119665734337, "ds_files_count": 0, "ds_format": "*.H5", "ds_space_res": "3~62 km", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "77d980f2-1f63-49bd-991e-9bd019c9c7f1.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": "2026-09-21 15:57:53", "last_updated": "2026-09-21 16:01:04", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.db7805.2026", "i18n": { "en": { "title": "Atmospherically corrected ASMR-E/2 passive microwave brightness temperatures for the Arctic, 2002-2025", "ds_format": "*.H5", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
Passive microwave brightness temperatures (TBs) from the Advanced Microwave Scanning Radiometer (AMSR) series, including AMSR-E and AMSR2, are widely used for ocean, ice, and snow monitoring in the Arctic. However, atmospheric absorption and emission, primarily by water vapor and cloud liquid water, affect the satellite-observed TBs and can propagate into geophysical retrievals. We present an atmospherically-corrected AMSR-E and AMSR2 TB dataset covering 2002-2025. The dataset contains dual-polarization TB observations at 6-89 GHz, collocated atmospheric and surface variables, and a quality-control flag. Atmospheric influence was estimated with a radiative transfer model driven by ERA5 reanalysis. Technical quality was assessed using water and sea ice samples and field measurements from the MOSAiC expedition. The dataset provides a valuable record for evaluating and developing ocean, ice and snow retrieval methods in the Arctic.", "ds_time_res": "", "ds_acq_place": "Arctic", "ds_space_res": "3~62km", "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, "allow_update_data": false, "created_from": "uc", "ds_topic_tags": [ "被动微波", "北极", "大气校正", "亮温" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [ "北极" ], "ds_time_tags": [ 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025 ], "ds_contributors": [ { "true_name": "晏子钰", "email": "yanzy8@mail2.sysu.edu.cn", "work_for": "中山大学", "country": "中国" }, { "true_name": "叶玉芳", "email": "yeyf8@mail.sysu.edu.cn", "work_for": "中山大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "晏子钰", "email": "yanzy8@mail2.sysu.edu.cn", "work_for": "中山大学", "country": "中国" }, { "true_name": "叶玉芳", "email": "yeyf8@mail.sysu.edu.cn", "work_for": "中山大学", "country": "中国" } ], "ds_managers": [ { "true_name": "晏子钰", "email": "yanzy8@mail2.sysu.edu.cn", "work_for": "中山大学", "country": "中国" } ], "category": "极地" }