{
    "created": "2026-07-01 18:16:16",
    "updated": "2026-07-13 10:20:34",
    "id": "c8990914-21fe-4e33-9c48-0dbe42b8e033",
    "version": 5,
    "ds_topic": null,
    "title_cn": "长江中下游出入梅日期及其强度数据集（1951-2020年）",
    "title_en": "Dataset of Meiyu Onset and Retreat Dates and Their Intensity in the Middle and Lower Reaches of the Yangtze River (1951-2020)",
    "ds_abstract": "<p>&emsp;&emsp;长江中下游出入梅日期及其强度数据集（1951—2020年）由气象业务或科研机构基于国家气候中心整编的梅雨特征量及逐日气象观测资料研制而成，旨在支持梅雨变化规律、汛期旱涝预测及防灾减灾研究。生产上采用标准化判别方法，以逐日降水、气温及副高位置等综合识别梅雨过程，提取入梅日期、出梅日期、梅雨期长度、总降水量等要素。数据可广泛应用于气候变化趋势分析、梅雨季节预测、水资源评估、农业气象服务及异常梅雨年形成机理研究等领域。</p>",
    "ds_source": "<p>&emsp;&emsp;本数据集使用的降水、气温等原始气象资料来源于中国气象局国家气候中心整编的1951-2020年长江中下游地区梅雨特征量数据，以及区域内气象站点的逐日观测资料。</p>",
    "ds_process_way": "<p>&emsp;&emsp;通过副高脊线位置结合区域内雨日及降水阈值自动判定入梅和出梅日期，并利用主成分分析（PCA）提取主要气象因子，再通过K-means聚类将梅雨期划分为Ⅰ型、Ⅱ型、Ⅲ型三类，同时基于梅雨期长度、累计雨量和雨日强度三个因子，使用百分位法确定每年的梅雨强度等级，最终整理形成包含入梅、出梅日期及梅雨强度的数据集。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据经异常值检查，具有较高的完整性和准确性。</p>",
    "ds_acq_start_time": "1951-01-01 00:00:00",
    "ds_acq_end_time": "2020-12-31 00:00:00",
    "ds_acq_place": "长江中下游流域",
    "ds_acq_lon_east": 114.0,
    "ds_acq_lat_south": 28.0,
    "ds_acq_lon_west": 121.0,
    "ds_acq_lat_north": 30.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 50639,
    "ds_files_count": 0,
    "ds_format": "*.xlsx",
    "ds_space_res": "",
    "ds_time_res": "日",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "c8990914-21fe-4e33-9c48-0dbe42b8e033.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": [
        "170.15",
        "170.45",
        "170.55"
    ],
    "quality_level": 0,
    "publish_time": "2026-07-13 10:59:37",
    "last_updated": "2026-07-13 15:32:45",
    "protected": false,
    "protected_to": "2027-01-01 00:00:00",
    "lang": "zh",
    "cstr": "",
    "i18n": {
        "en": {
            "title": "Dataset of Meiyu Onset and Retreat Dates and Their Intensity in the Middle and Lower Reaches of the Yangtze River (1951-2020)",
            "ds_format": "*.xlsx",
            "ds_source": "<p>&emsp;&emsp;The raw meteorological data such as precipitation and temperature used in this dataset are derived from the Meiyu characteristic data of the middle and lower reaches of the Yangtze River from 1951 to 2020 compiled by the National Climate Center of China Meteorological Administration, as well as daily observation data from meteorological stations in the region. </p>",
            "ds_quality": "<p>&emsp;&emsp;The data has been checked for outliers and has high integrity and accuracy. </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;&emsp;The data set of the date and intensity of plum entry in the middle and lower reaches of the Yangtze River (1951-2020) was developed by meteorological operations or scientific research institutions based on the Meiyu characteristics and daily meteorological observation data compiled by the National Climate Center. It aims to support the Meiyu variation rules, flood and flood forecast and disaster prevention and reduction research in flood season. In production, a standardized discrimination method is adopted to comprehensively identify the Meiyu process based on daily precipitation, temperature and location of the subtropical high, and extract factors such as plum entry date, plum entry date, length of the Meiyu period, and total precipitation. The data can be widely used in fields such as climate change trend analysis, plum rain season prediction, water resources assessment, agricultural meteorological services and research on the formation mechanism of abnormal plum rain years. </p>",
            "ds_time_res": "",
            "ds_acq_place": "the Yangtze River Basin",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp;The plum entry and plum entry dates are automatically determined based on the location of the subtropical high ridge line combined with the rain days and precipitation thresholds in the region, and the main meteorological factors are extracted using principal component analysis (PCA). The Meiyu period is then divided into three types: Type I, Type II and Type III through K-means clustering. At the same time, based on the three factors of the Meiyu period length, cumulative rainfall and rain day intensity, the annual Meiyu intensity level is determined using the percentile method, and finally a data set including the plum entry, plum entry dates and plum intensity is organized. </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": [
        "入梅",
        "出梅"
    ],
    "ds_subject_tags": [
        "大气科学",
        "地理学",
        "水文学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国",
        "长江中下游"
    ],
    "ds_time_tags": [
        1951,
        2020
    ],
    "ds_contributors": [
        {
            "true_name": "熊丰",
            "email": "fxiong07@foxmail.com",
            "work_for": "长江委水文局",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "熊丰",
            "email": "fxiong07@foxmail.com",
            "work_for": "长江委水文局",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "熊丰",
            "email": "fxiong07@foxmail.com",
            "work_for": "长江委水文局",
            "country": "中国"
        }
    ],
    "category": "气象"
}