{
    "created": "2026-07-01 18:15:15",
    "updated": "2026-07-13 03:17:04",
    "id": "2a9d63d4-e25e-4b5b-8bc8-6b5d734da231",
    "version": 4,
    "ds_topic": null,
    "title_cn": "ERA5再分析逐日高空环流数据集（1970-2019年）",
    "title_en": "ERA5 Reanalysis Daily Upper-Air Dataset over the Upper Yangtze River Basin (2019)",
    "ds_abstract": "<p>&emsp;&emsp;本研究采用欧洲中期天气预报中心（ECMWF）发布的第五代大气再分析资料（ERA5），该数据集基于数据同化技术整合了全球多源观测，提供了空间分辨率为0.25°×0.25°、时间分辨率为日尺度的关键变量，用于分析流域入出汛对应的背景环流。</p>",
    "ds_source": "<p>&emsp;&emsp;本数据集源自欧洲中期天气预报中心（ECMWF）发布的第五代全球大气再分析资料——ERA5（数据来源：https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels）</p>",
    "ds_process_way": "<p>&emsp;&emsp;数据同化与数值预报模型融合</p>",
    "ds_quality": "<p>&emsp;&emsp;数据比较准确，达到精度要求。</p>",
    "ds_acq_start_time": "2026-01-01 00:00:00",
    "ds_acq_end_time": null,
    "ds_acq_place": "全球",
    "ds_acq_lon_east": 180.0,
    "ds_acq_lat_south": -90.0,
    "ds_acq_lon_west": -180.0,
    "ds_acq_lat_north": 90.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 33124172961,
    "ds_files_count": 0,
    "ds_format": "*.nc",
    "ds_space_res": "度",
    "ds_time_res": "日",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "2a9d63d4-e25e-4b5b-8bc8-6b5d734da231.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": "",
    "organization_id": "44547705-9513-4685-a641-661bdf406520",
    "ds_serv_man": "",
    "ds_serv_phone": "",
    "ds_serv_mail": "",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 0,
    "publish_time": "2026-07-08 09:38:14",
    "last_updated": "2026-07-13 09:42:28",
    "protected": false,
    "protected_to": "2027-01-01 00:00:00",
    "lang": "zh",
    "cstr": "",
    "i18n": {
        "en": {
            "title": "ERA5 Reanalysis Daily Upper-Air Dataset over the Upper Yangtze River Basin (2019)",
            "ds_format": "*.nc",
            "ds_source": "<p>&emsp;&emsp;This dataset is derived from the fifth-generation global atmospheric reanalysis data-ERA5 released by the European Center for Medium-Range Weather Forecasting (ECMWF)(Data source: https://cds.climate.copernicus.eu/dataets/reanalysis-era5-single-levels)</p>",
            "ds_quality": "<p>&emsp;&emsp;The data is relatively accurate and meets the accuracy requirements. </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;&emsp;This study uses the fifth-generation atmospheric reanalysis data (ERA5) released by the European Center for Medium-Range Weather Forecasts (ECMWF). This dataset integrates global multi-source observations based on data assimilation technology and provides key variables with a spatial resolution of 0.25°×0.25° and a temporal resolution of 0.25 ° on the daily scale. It is used to analyze the background circulation corresponding to flood seasons in the basin. </p>",
            "ds_time_res": "",
            "ds_acq_place": "global",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp;Data assimilation and numerical prediction model fusion</p>",
            "ds_ref_instruction": "None"
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "recommendation_value": 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,
    "belong_to_nieer": false,
    "ds_topic_tags": [
        "再分析资料",
        "高空"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "全球"
    ],
    "ds_time_tags": [
        1970,
        1971,
        1972,
        1973,
        1974,
        1975,
        1976,
        1977,
        1978,
        1979,
        1980,
        1981,
        1982,
        1983,
        1984,
        1985,
        1986,
        1987,
        1988,
        1989,
        1990,
        1991,
        1992,
        1993,
        1994,
        1995,
        1996,
        1997,
        1998,
        1999,
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019
    ],
    "ds_contributors": [
        {
            "true_name": "王浩先",
            "email": "1093940600@qq.com",
            "work_for": "河海大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "王浩先",
            "email": "1093940600@qq.com",
            "work_for": "河海大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "王浩先",
            "email": "1093940600@qq.com",
            "work_for": "河海大学",
            "country": "中国"
        }
    ],
    "category": "其他"
}