{
    "created": "2026-03-03 14:53:37",
    "updated": "2026-04-19 13:46:53",
    "id": "18578095-d5f5-41ef-9863-b9525a78d44e",
    "version": 7,
    "ds_topic": null,
    "title_cn": "高分辨率北半球多年冻土数据集（2000-2016年）",
    "title_en": "High-resolution datasets of permafrost thermal state and hydrothermal zonation in the Northern Hemisphere",
    "ds_abstract": "<p>&emsp;&emsp;整编了目前北半球数量最多的年平均地温（1002个）和活动层厚度（452个）地面观测数据，利用四种统计学习模型融合这些地面观测与多源遥感等数据产品，集合模拟得到了代表2000-2016年北半球多年冻土区年平均地温、活动层厚度、多年冻土发生概率和多年冻土水热分带数据集，空间分辨率为1公里，验证表明具有更高的精度。可为北半球多年冻土区的工程规划、设计、环境模拟与评价等提供数据支持，也可作为北半球多年冻土现状的数据基准，评估未来多年冻土变化及其影响。",
    "ds_source": "<p>&emsp;&emsp;北半球数量最多的年平均地温（1002个）和活动层厚度（452个）地面观测数据。",
    "ds_process_way": "<p>&emsp;&emsp;利用统计学习模型融合地面观测与多源遥感等数据产品。",
    "ds_quality": "<p>&emsp;&emsp;数据质量较好。",
    "ds_acq_start_time": "2000-01-01 00:00:00",
    "ds_acq_end_time": "2016-12-31 00:00:00",
    "ds_acq_place": "欧亚大陆,加拿大,北极,阿拉斯加,青藏高原",
    "ds_acq_lon_east": 180.0,
    "ds_acq_lat_south": 25.0,
    "ds_acq_lon_west": -180.0,
    "ds_acq_lat_north": 89.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "open-access",
    "ds_total_size": 356297285,
    "ds_files_count": 2,
    "ds_format": "tif,shp",
    "ds_space_res": " 1km - 10km",
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "18578095-d5f5-41ef-9863-b9525a78d44e.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2026-03-05 11:37:05",
    "last_updated": "2026-03-11 09:47:21",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": null,
    "i18n": {
        "en": {
            "title": "High-resolution datasets of permafrost thermal state and hydrothermal zonation in the Northern Hemisphere",
            "ds_format": "tif,shp",
            "ds_source": "<p>&emsp;The largest number of annual average ground temperature (1002) and active layer thickness (452) ground observation data in the Northern Hemisphere.",
            "ds_quality": "<p>&emsp;The data quality is good.",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;We have compiled the largest number of annual average ground temperature (1002) and active layer thickness (452) ground observation data in the Northern Hemisphere, and used four statistical learning models to integrate these ground observations with multi-source remote sensing data products. Through ensemble simulation, we obtained a dataset representing the annual average ground temperature, active layer thickness, permafrost occurrence probability, and permafrost hydrothermal zoning in the Northern Hemisphere's permafrost region from 2000 to 2016, with a spatial resolution of 1 kilometer. Verification shows that it has higher accuracy. It can provide data support for engineering planning, design, environmental simulation, and evaluation in the permafrost regions of the Northern Hemisphere, and can also serve as a data benchmark for assessing future permafrost changes and their impacts.",
            "ds_time_res": "",
            "ds_acq_place": "Eurasia, Canada, Arctic, Alaska, Qinghai Tibet Plateau",
            "ds_space_res": " 1km - 10km",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;Using statistical learning models to integrate ground observations and multi-source remote sensing data products.",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "冻土",
        "多年冻土",
        "活动层",
        "地温",
        "不连续多年冻土",
        "冻土分布",
        "永冻带（多年冻土）"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "欧亚大陆",
        "加拿大",
        "北极",
        "阿拉斯加",
        "青藏高原"
    ],
    "ds_time_tags": [
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016
    ],
    "ds_contributors": [
        {
            "true_name": "冉有华 ",
            "email": "ranyh@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "李新",
            "email": "lixin@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "程国栋",
            "email": "gdcheng@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "车金星",
            "email": "jinxingche@nit.edu.cn",
            "work_for": "南昌工程技术学院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "冉有华 ",
            "email": "ranyh@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "李新",
            "email": "lixin@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "程国栋",
            "email": "gdcheng@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "车金星",
            "email": "jinxingche@nit.edu.cn",
            "work_for": "南昌工程技术学院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "冉有华 ",
            "email": "ranyh@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "李新",
            "email": "lixin@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": "冻土"
}