{
    "created": "2023-09-21 17:55:42",
    "updated": "2026-05-11 11:55:49",
    "id": "a1f327cc-7e2a-4521-a623-2e1ad89b9817",
    "version": 5,
    "ds_topic": null,
    "title_cn": "湖泊冰层厚度数据集",
    "title_en": "Lake ice thickness dataset",
    "ds_abstract": "<p>&emsp;&emsp;每日湖泊冰雪厚度数据集可为估算全球湖泊冰雪量提供基准，从而提高我们对淡水湖冰的生态和经济意义及其对气候变化的响应的认识。</p>",
    "ds_source": "<p>&emsp;&emsp;通过Jason-1/2/3 号卫星生成湖泊冰层厚度的数据。</p>",
    "ds_process_way": "<p>&emsp;&emsp;该数据集版本1由三个产品组成，包括：（1）2002-2019 年卫星测高仪测量的 11 个大型湖泊的湖冰厚度；（2）2003-2018 年一维遥感湖冰模型模拟的北半球面积大于 50 平方公里的 1260 个湖泊的湖冰厚度和湖面积雪深度；（3）2091-2099 年湖冰模型模拟的未来湖冰厚度和湖面积雪深度，并修改了冰层生长模块。\n</p>\n<p>&emsp;&emsp;版本2由四个文件组成，包括：（1）1992-2019 年卫星测高仪测量的 16 个大型湖泊的湖泊冰厚度（16 个大型湖泊的测高 LIT. xlsx）；（2）2003-2018 年一维遥感湖冰模型模拟的北半球面积大于 50 平方公里的 1313 个湖泊的每日湖冰厚度和湖面积雪深度（NetCDF 格式）；（3）湖冰模型利用改进的冰生长模块模拟的 2071-2099 年未来湖冰厚度和湖面积雪深度（表 S1.xlsx）；（4）包含湖泊 ID、名称、位置和面积的查找表。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好。</p>",
    "ds_acq_start_time": "2002-01-01 00:00:00",
    "ds_acq_end_time": "2019-12-31 00:00:00",
    "ds_acq_place": "泽斯科耶湖、呼伦湖、贝加尔湖、霍夫斯戈尔湖、哈尔湖、萨西克科尔湖、贝克湖、阿萨巴斯卡湖、大奴湖、塔斯利纳湖、大熊湖",
    "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": "open-access",
    "ds_total_size": 315432398,
    "ds_files_count": 10,
    "ds_format": ".nc、.xlsx",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "a1f327cc-7e2a-4521-a623-2e1ad89b9817.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。",
    "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": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2023-09-25 14:52:16",
    "last_updated": "2025-06-30 16:20:06",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.ZENODO.DB4023.2023",
    "i18n": {
        "en": {
            "title": "Lake ice thickness dataset",
            "ds_format": ".nc、.xlsx",
            "ds_source": "<p>&emsp;&emsp;Generate data on lake ice thickness using the Jason-1/2/3 satellite.</p>",
            "ds_quality": "<p>&emsp;&emsp;The data quality is good.</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>  This daily lake ice and snow thickness dataset could provide a benchmark for the estimation of global lake ice and snow mass, thereby improving our understanding of the ecological and economical significance of fresh water ice as well as its response to climate change.</p>",
            "ds_time_res": "",
            "ds_acq_place": "Zeskoye Lake, Hulun Lake, Baikal Lake, Hovs Gol Lake, Hal Lake, Susikkor Lake, Baker Lake, Athabasca Lake, Great Slave Lake, Taslina Lake, Great Bear Lake",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp;The dataset version 1 consists of three products including: (1) Lake ice thickness of 11 large lakes measured by satellite altimeters for 2002-2019; (2) Lake ice thickness and lake surface snow depth of 1260 lakes with an area > 50 km2 in the Northern Hemisphere modeled by a one-dimensional remote sensing lake ice model for 2003-2018; (3) Future lake ice thickness and surface snow depth for 2091-2099 modeled by the lake ice model with a modified ice growth module.\n</p>\n<p>&emsp;&emsp;Version 2 consists of four files including (1) Lake ice thickness of 16 large lakes measured by satellite altimeters for 1992-2019 (Altimetric LIT for 16 large lakes.xlsx); (2) Daily lake ice thickness and lake surface snow depth of 1,313 lakes with an area > 50 km2 in the Northern Hemisphere modeled by a one-dimensional remote sensing lake ice model for 2003-2018 (in NetCDF format); (3) Future lake ice thickness and surface snow depth for 2071-2099 modeled by the lake ice model with a modified ice growth module (table S1.xlsx); (4) A lookup table containing lake IDs, names, locations, and areas.</p>",
            "ds_ref_instruction": "When using data, please clearly state the source of the data in the main text and cite the citation provided by this metadata in the reference section."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "https://creativecommons.org/licenses/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": [
        "湖冰厚度",
        "湖面积雪深度",
        "卫星测高",
        "湖冰模型",
        "气候变化"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "泽斯科耶湖",
        "呼伦湖",
        "贝加尔湖",
        "霍夫斯戈尔湖",
        "哈尔湖",
        "萨西克科尔湖",
        "贝克湖",
        "阿萨巴斯卡湖",
        "大奴湖",
        "塔斯利纳湖",
        "大熊湖"
    ],
    "ds_time_tags": [
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019
    ],
    "ds_contributors": [
        {
            "true_name": "李兴东",
            "email": "lxd6304@126.com",
            "work_for": "清华大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "李兴东",
            "email": "lxd6304@126.com",
            "work_for": "清华大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "李兴东",
            "email": "lxd6304@126.com",
            "work_for": "清华大学",
            "country": "中国"
        }
    ],
    "category": "积雪"
}