{
    "created": "2023-04-20 15:53:40",
    "updated": "2026-04-29 01:02:18",
    "id": "bb0f07ff-d151-4f32-9e37-c543c500ddc6",
    "version": 6,
    "ds_topic": null,
    "title_cn": "长江流域未来50年干旱变化特征SPEI指数（2020-2070年）",
    "title_en": "SPEI Index of Drought Change Characteristics in the Yangtze River Basin over the Next 50 Years (2020-2070)",
    "ds_abstract": "<p>&emsp;&emsp;本数据集收录了长江流域12个水资源二级区未来50年逐月的SPEI指数。\n<p>&emsp;&emsp;1. 数据集命名\n<p>&emsp;&emsp;长江流域未来50年干旱变化特征SPEI指数.xlsx\n<p>&emsp;&emsp;2. 属性信息  \n<p>&emsp;&emsp;洞庭湖水系：长江流域水资源二级区\n<p>&emsp;&emsp;汉江：长江流域水资源二级区\n<p>&emsp;&emsp;湖口以下干流：长江流域水资源二级区\n<p>&emsp;&emsp;金沙江石鼓以上：长江流域水资源二级区\n<p>&emsp;&emsp;金沙江石鼓以上：长江流域水资源二级区\n<p>&emsp;&emsp;岷沱江：长江流域水资源二级区\n<p>&emsp;&emsp;鄱阳湖水系：长江流域水资源二级区\n<p>&emsp;&emsp;太湖水系：长江流域水资源二级区\n<p>&emsp;&emsp;乌江：长江流域水资源二级区\n<p>&emsp;&emsp;宜宾至宜昌：长江流域水资源二级区\n<p>&emsp;&emsp;宜昌至湖口：长江流域水资源二级区",
    "ds_source": "<p>&emsp;&emsp;CanESM5数据：https://pcmdi.llnl.gov/CMIP6/",
    "ds_process_way": "<p>&emsp;&emsp;采用全球气候模式CanESM5的三种气候情景下的输出结果，通过降尺度和偏差矫正得到2020-2070年长江流域12个二级水资源区逐月的降水和蒸散发数据，进而计算得到未来50年逐月SPEI指数。",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好。",
    "ds_acq_start_time": "2020-01-01 00:00:00",
    "ds_acq_end_time": "2070-12-31 00:00:00",
    "ds_acq_place": "长江流域",
    "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": "apply-access",
    "ds_total_size": 343453,
    "ds_files_count": 2,
    "ds_format": "excel",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "bb0f07ff-d151-4f32-9e37-c543c500ddc6.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "杜涛，长江流域未来50年干旱变化特征SPEI指数（2020-2070年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2023，doi：10.12072/ncdc.cjszyzljs.db2836.2023",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "3e3edc19-47aa-4e44-b4a3-39e7c77667c5",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "10.12072/ncdc.cjszyzljs.db2836.2023",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2023-04-23 16:44:30",
    "last_updated": "2023-04-24 09:11:42",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.CJSZYZLJS.DB2836.2023",
    "i18n": {
        "en": {
            "title": "SPEI Index of Drought Change Characteristics in the Yangtze River Basin over the Next 50 Years (2020-2070)",
            "ds_format": "",
            "ds_source": "",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "",
            "ds_time_res": "",
            "ds_acq_place": "Yangtze river basin",
            "ds_space_res": "",
            "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,
    "is_paper_in_submitting": false,
    "ds_topic_tags": [
        "高强迫情景",
        "中强迫情景",
        "低强迫情景",
        "长江流域",
        "SPEI指数"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "长江流域"
    ],
    "ds_time_tags": [
        2020,
        2021,
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        2025,
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    ],
    "ds_contributors": [
        {
            "true_name": "杜涛",
            "email": "449252723@qq.com",
            "work_for": "长江水利委员会水文局",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "杜涛",
            "email": "449252723@qq.com",
            "work_for": "长江水利委员会水文局",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "杜涛",
            "email": "449252723@qq.com",
            "work_for": "长江水利委员会水文局",
            "country": "中国"
        }
    ],
    "category": "生态"
}