{
    "created": "2023-04-21 16:54:55",
    "updated": "2026-04-26 18:30:26",
    "id": "71384308-e61f-46ff-babb-3ee4c8f9f208",
    "version": 6,
    "ds_topic": null,
    "title_cn": "新疆地区500m逐日积雪深度数据集（2010-2020年）",
    "title_en": "500m Daily Snow Depth Dataset in Xinjiang (2010-2020)",
    "ds_abstract": "<p>本数据为新疆逐日降尺度500m积雪深度数据。其生产主要基于随机森林算法，利用中国长时间序列雪深数据集、地形数据、空间位置数据、积雪覆盖日数等制备了2010-2020年期间空间分辨率为500m的逐日积雪深度数据集。该数据集以TIF文件格式存储，命名规则为：“SNDP+year+DOY.tif”，DOY为年积日。本数据集以期为积雪的深入研究与准确分析、气候变化、雪灾预警等提供有效的数据支撑。</p>",
    "ds_source": "<p>通过国家青藏高原科学数据中心下载的“中国长时间序列雪深数据集”；通过Earthdata下载的MOD13A1归一化植被指数数据；通过地理空间数据云平台下载的SRTM地形数据，包括海拔、坡度、坡向、地表粗糙度数据。</p>",
    "ds_process_way": "<p>本数据集以新疆气象站点数据、中国长时间序列雪深数据集、经度、纬度、SRTM海拔、坡度、坡向、地表粗糙度、MOD13A1归一化植被指数数据、积雪覆盖日数数据为基础，建立以随机森林算法为基础的积雪深度降尺度模型，根据此模型生产500m降尺度积雪深度产品。</p>",
    "ds_quality": "<p>该数据的原始数据为中国长时间序列雪深数据集，以新疆地区50个实测站台点提供的2013年至2020年的雪深实测数据对降尺度前后雪深数据集进行精度评估与对比，结果表明通过降尺度降尺度后雪深数据的精度有所提升，平均决定系数R2为0.61，数据综合评价指标KEG’为0.64，均方根误差RMSE为4.59cm，平均绝对误差MAE为1.36cm，相关系数为0.81。</p>",
    "ds_acq_start_time": "2010-01-01 00:00:00",
    "ds_acq_end_time": "2020-12-31 00:00:00",
    "ds_acq_place": "新疆维吾尔自治区",
    "ds_acq_lon_east": 97.08,
    "ds_acq_lat_south": 33.37,
    "ds_acq_lon_west": 70.25,
    "ds_acq_lat_north": 49.93,
    "ds_acq_alt_low": -158.0,
    "ds_acq_alt_high": 7804.0,
    "ds_share_type": "apply-access",
    "ds_total_size": 287595633758,
    "ds_files_count": 12059,
    "ds_format": "tiff",
    "ds_space_res": "500m",
    "ds_time_res": "日",
    "ds_coordinate": "WGS84",
    "ds_projection": "经纬",
    "ds_thumbnail": "50fa2bae-9034-4eb4-aa97-f8fc5fc7c38f.jpg",
    "ds_thumb_from": 0,
    "ds_ref_way": "李海星，新疆地区500m逐日积雪深度数据集（2010-2020年），国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn/)，2023，doi：10.12072/ncdc.nieer.db2841.2023",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "c6ac5c3c-eb4f-4119-86fb-c4534a9bd7fb",
    "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": "2023-05-05 17:56:07",
    "last_updated": "2023-06-20 02:10:08",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.NIEER.DB2841.2023",
    "i18n": {
        "en": {
            "title": "500m Daily Snow Depth Dataset in Xinjiang (2010-2020)",
            "ds_format": "",
            "ds_source": "",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "",
            "ds_time_res": "日",
            "ds_acq_place": "",
            "ds_space_res": "500m",
            "ds_projection": "",
            "ds_process_way": "",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "doi_reg_from": "reg_local",
    "cstr_reg_from": "reg_local",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "ds_topic_tags": [
        "积雪 雪深"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "新疆"
    ],
    "ds_time_tags": [
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019,
        2020
    ],
    "ds_contributors": [
        {
            "true_name": "李海星",
            "email": "leehaixing@126.com",
            "work_for": "南京工业大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "李海星",
            "email": "leehaixing@126.com",
            "work_for": "南京工业大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "李海星",
            "email": "leehaixing@126.com",
            "work_for": "南京工业大学",
            "country": "中国"
        }
    ],
    "category": "积雪"
}