{ "created": "2025-10-27 15:21:09", "updated": "2026-05-02 21:29:52", "id": "6e3f014f-8134-430c-b81b-e48c56a28fc7", "version": 8, "ds_topic": null, "title_cn": "多源融合极地中气旋路径数据集（2001-2024年）", "title_en": "IMPMCT: A Dataset of Integrated Multi-source Polar Meso-Cyclone Tracks（2001-2024）", "ds_abstract": "

  本数据集整合了两方面核心信息：一方面是基于 ERA5 再分析数据的涡旋追踪算法结果，另一方面是通过深度学习方法对甚高分辨率辐射计（Advanced Very High-Resolution Radiometer，简称 AVHRR）红外影像中气旋云特征的检测结果；同时，该数据集还纳入了先进散射计（Advanced Scatterometer，简称 ASCAT）与快速散射计（Quick Scatterometer，简称 QUIKSCAT）观测数据所匹配的近地表风场信息。

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  数据集包含 1184 条涡旋路径、16630 个气旋云特征以及 4373 条风速记录，并涵盖云形态、核心风速、环境平流风速等多维度属性。

", "ds_source": "

  数据来源于Zenodo网站（https://zenodo.org/records/15355602）。", "ds_process_way": "

  采用多源数据融合与多方法结合的方式，具体包括：\n1.基于 ERA5 再分析数据，运用涡旋追踪算法进行相关处理；\n2. 针对甚高分辨率辐射计（Advanced Very High-Resolution Radiometer，AVHRR）红外影像，通过深度学习方法检测其中的气旋云特征；\n3. 纳入先进散射计（Advanced Scatterometry，ASCAT）与快速散射计（Quick Scatterometry，QUIKSCAT）观测数据所匹配的近地表风场信息，实现多源数据的整合应用。", "ds_quality": "

  数据质量较好。", "ds_acq_start_time": "2001-01-01 00:00:00", "ds_acq_end_time": "2024-12-31 00:00:00", "ds_acq_place": "挪威海域", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 6299013362, "ds_files_count": 2, "ds_format": "png", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "6e3f014f-8134-430c-b81b-e48c56a28fc7.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": "2025-10-30 18:06:40", "last_updated": "2026-01-14 11:10:13", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6982.2025", "i18n": { "en": { "title": "IMPMCT: A Dataset of Integrated Multi-source Polar Meso-Cyclone Tracks（2001-2024）", "ds_format": "", "ds_source": "

 Data sourced from Zenodo website（ https://zenodo.org/records/15355602 ）.", "ds_quality": "

 The data quality is good.", "ds_ref_way": "", "ds_abstract": "

 IMPMCT combines vortices tracking algorithms from ERA5 reanalysis with deep learning-based detection of cyclonic cloud features in Advanced Very High-Resolution Radiometer (AVHRR) infrared imagery, while incorporating near-surface wind matching by Advanced Scatterometer (ASCAT) and Quick Scatterometer (QUIKSCAT) measurements.

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 The dataset contains 1,184 vortices tracks, 16,630 cyclonic cloud features, and 4373 wind speed records, with multi-dimensional attributes such as cloud morphology, core wind speed, and environmental advection wind speed.

", "ds_time_res": "年", "ds_acq_place": "Norwegian waters", "ds_space_res": "", "ds_projection": "", "ds_process_way": "

 Adopting a combination of multi-source data fusion and multiple methods, including:\n1. Based on ERA5 reanalysis data, apply vortex tracking algorithm for relevant processing;\n2. Using deep learning methods to detect cyclonic cloud features in Advanced Very High Resolution Radiometer (AVHRR) infrared images;\n3. Incorporate near surface wind field information matched with Advanced Scatterometer (ASCAT) and Quick Scatterometer (QUIKSCAT) observation data to achieve integrated application of multi-source data.", "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": [ "极地", "中尺度", "气旋" ], "ds_subject_tags": [ "大气科学" ], "ds_class_tags": [], "ds_locus_tags": [ "挪威海域" ], "ds_time_tags": [ 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024 ], "ds_contributors": [ { "true_name": "丁锦锋", "email": "dingjinfeng@nudt.edu.cn", "work_for": "国防科技大学气象海洋学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "丁锦锋", "email": "dingjinfeng@nudt.edu.cn", "work_for": "国防科技大学气象海洋学院", "country": "中国" } ], "ds_managers": [ { "true_name": "丁锦锋", "email": "dingjinfeng@nudt.edu.cn", "work_for": "国防科技大学气象海洋学院", "country": "中国" } ], "category": "水文" }