{
    "created": "2025-01-21 17:57:47",
    "updated": "2026-05-02 04:33:10",
    "id": "f7ea2b23-d131-4d6c-9a10-7b6907a84a28",
    "version": 4,
    "ds_topic": null,
    "title_cn": "河南小浪底站日尺度地面气象数据集（2018-2020年）",
    "title_en": "Daily surface meteorological dataset of Xiaolangdi Station (2018–2020)",
    "ds_abstract": "<p>&emsp;&emsp;气象数据是野外科学观测研究的重要基础数据，地面气象观测是气象观测的重要组成部分，由于其遵循统一的地面气象观测规范，因此在空间上具有更好的可比较性，这也是其有别于小气候观测的方面。河南小浪底森林生态系统国家野外科学观测研究站（简称小浪底站）位于南太行地区、我国地貌第二、第三阶梯的过渡地带，地处黄河重点生态区，属暖温带亚湿润季风气候，生物多样性丰富。</p>",
    "ds_source": "<p>&emsp;&emsp;本数据集数据来源为小浪底站标准地面气象观测场采集的原始数据。</p>",
    "ds_process_way": "<p>&emsp;&emsp;本数据集基于小浪底站标准地面气象观测场采集的原始数据，经过数据处理和质量控制，将2018-2020年的地面气象数据以日尺度公开，包括日平均气温、日最高气温、日最低气温、日平均相对湿度、日平均风速、最大风速、日平均净辐射、日平均直接辐射、日平均气压、日降水量、0-80cm多层土壤温度共计17个指标，旨在为气候变化研究和生态文明建设提供背景资料，为维护黄河流域生态安全、推动黄河流域高质量发展提供数据支撑。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好。</p>",
    "ds_acq_start_time": "2018-01-01 00:00:00",
    "ds_acq_end_time": "2020-12-31 00:00:00",
    "ds_acq_place": "河南小浪底站",
    "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": "login-access",
    "ds_total_size": 221370,
    "ds_files_count": 2,
    "ds_format": "xlsx",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "f7ea2b23-d131-4d6c-9a10-7b6907a84a28.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。",
    "ds_from_station": null,
    "organization_id": "d2c052ce-d283-4a48-8962-6a3dbcb03b8e",
    "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": "2025-01-24 10:09:23",
    "last_updated": "2025-05-29 11:22:00",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.SCIDB.DB6750.2025",
    "i18n": {
        "en": {
            "title": "Daily surface meteorological dataset of Xiaolangdi Station (2018–2020)",
            "ds_format": "xlsx",
            "ds_source": "<p>&emsp;&emsp;The data source of this dataset is the raw data collected from the standard ground meteorological observation field of Xiaolangdi Station.</p>",
            "ds_quality": "<p>&emsp;&emsp;The data quality is good.</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>  Meteorological data is an foundational data for field scientific observation and research. Surface meteorological observation is an important component of meteorological observation. Due to its adherence to unified surface meteorological observation standards, it has better comparability in space, which is also its distinguishing feature from microclimate observation. Henan Xiaolangdi Forest Ecosystem National Observation and Research Station (referred to as Xiaolangdi Station) is located in the transitional zone of the second and third steps of China's landforms in the southern Taihang Mountains. It is a key ecological area of the Yellow River and belongs to a warm temperate sub humid monsoon climate with rich biodiversity.</p>",
            "ds_time_res": "",
            "ds_acq_place": "Henan Xiaolangdi Station",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp;This dataset is based on the raw data collected from the surface meteorological observation field of Xiaolangdi Station. It is the daily meteorological data product from 2018 to 2020 after data processing and quality control. It covers the daily data of temperature, maximum temperature, minimum temperature, relative humidity, wind speed, maximum wind speed, net radiation, direct radiation, air pressure, precipitation, 0-80cm multi-layer soil temperature (total of 17 observation elements). This dataset can provide background information for climate change research and ecological civilization construction, and to provide data support for maintaining ecological security and promoting high-quality development in the Yellow River Basin.</p>",
            "ds_ref_instruction": "When using data, users should clearly declare the source of the data in the main text and cite the citation method provided by this metadata in the reference section."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "doi_reg_from": "reg_outside",
    "cstr_reg_from": "reg_outside",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "is_paper_in_submitting": false,
    "ds_topic_tags": [
        "日平均气温",
        "日最高气温",
        "日最低气温",
        "日平均相对湿度",
        "日平均风速",
        "最大风速",
        "日平均净辐射",
        "日平均直接辐射",
        "日平均气压",
        "日降水量",
        "0-80cm多层土壤温度"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "河南小浪底站"
    ],
    "ds_time_tags": [
        2018,
        2019,
        2020
    ],
    "ds_contributors": [
        {
            "true_name": "张劲松",
            "email": "zhangjs@caf.ac.cn",
            "work_for": "中国林业科学研究院林业研究所",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "张劲松",
            "email": "zhangjs@caf.ac.cn",
            "work_for": "中国林业科学研究院林业研究所",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "张劲松",
            "email": "zhangjs@caf.ac.cn",
            "work_for": "中国林业科学研究院林业研究所",
            "country": "中国"
        }
    ],
    "category": "气象"
}