{
    "created": "2023-12-10 09:49:49",
    "updated": "2026-05-08 19:11:16",
    "id": "52aca138-c4e2-42fa-af60-5977b0cf0b63",
    "version": 4,
    "ds_topic": null,
    "title_cn": "中国月尺度积雪融水预估数据集（2015-2100年）",
    "title_en": "Estimated Dataset of Monthly Snow Melting Water in China (2015-2100)",
    "ds_abstract": "<p>积雪是重要的水资源，积雪融水的未来变化将影响水资源的分配和利用。本数据利用CMIP6未来情景数据降尺度，获取高空间分辨率月尺度降水气温未来预估数据，利用度日因子模型计算积雪融水量，获取了中国高空间分辨率（0.5′，约1km）2015-2100年月尺度积雪融水数据。数据集包含的地理空间范围是中国主要陆地，不含南海岛礁等区域。该数据集以nc文件格式存储，文件命名方式为snowmelt_ssp_year，year表示年份。</p>",
    "ds_source": "<p>CMIP6数据来源https://esgf-node.llnl.gov/search/cmip6/</p>",
    "ds_process_way": "<p>1）利用雨雪分离系数获取降雪；2）构建月尺度融雪度日因子模型；具体过程见参考文献。</p>",
    "ds_quality": "<p>积雪融水模型已通过输出中间变量历史时期的降雪、雪深、积雪范围和雪水当量验证。预估数据来自于32个模式的平均值，降低了预估的不确定性。</p>",
    "ds_acq_start_time": "2015-01-01 00:00:00",
    "ds_acq_end_time": "2100-12-31 00:00:00",
    "ds_acq_place": "中国",
    "ds_acq_lon_east": 136.10805555555555,
    "ds_acq_lat_south": 16.254166666666666,
    "ds_acq_lon_west": 72.26666666666667,
    "ds_acq_lat_north": 55.32916666666667,
    "ds_acq_alt_low": null,
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    "ds_share_type": "apply-access",
    "ds_total_size": 6318055168,
    "ds_files_count": 86,
    "ds_format": "nc",
    "ds_space_res": "0.5′",
    "ds_time_res": "月",
    "ds_coordinate": "WGS84",
    "ds_projection": "Mercator",
    "ds_thumbnail": "f2170aa9-e0d0-4a27-be91-b6a283399688.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.5525"
    ],
    "quality_level": 3,
    "publish_time": "2023-12-12 09:04:32",
    "last_updated": "2023-12-12 09:19:58",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.NIEER.DB4116.2023",
    "i18n": {
        "en": {
            "title": "Estimated Dataset of Monthly Snow Melting Water in China (2015-2100)",
            "ds_format": "",
            "ds_source": "",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "",
            "ds_time_res": "月",
            "ds_acq_place": "",
            "ds_space_res": "0.5′",
            "ds_projection": "",
            "ds_process_way": "",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 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,
    "ds_topic_tags": [
        "积雪融水",
        "未来预估"
    ],
    "ds_subject_tags": [
        "水文气象学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国陆域"
    ],
    "ds_time_tags": [
        2015,
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    "ds_contributors": [
        {
            "true_name": "阳勇",
            "email": "yy177@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": "陈仁升",
            "email": "crs2008@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": ""
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "阳勇",
            "email": "yy177@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "阳勇",
            "email": "yy177@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": "水文"
}