{
    "created": "2019-10-08 16:40:28",
    "updated": "2026-05-08 20:11:18",
    "id": "2d7bda6b-6282-44c4-b369-d4e5b752cf24",
    "version": null,
    "ds_topic": null,
    "title_cn": "海河流域多尺度地表通量与气象要素观测数据集：密云站-大孔径闪烁仪(2008-2010年)",
    "title_en": "Multi-scale surface flux and meteorological elements observation dataset in the Hai River Basin (Miyun site-large aperture scitillometer)",
    "ds_abstract": "<p>该数据集包含了2008年1月1日至2010年12月29日的大孔径闪烁仪观测数据。站点位于北京市密云县新城子镇，下垫面是果园（李子树和苹果树）、玉米/裸地、城镇。观测点的经纬度是117.3233E, 40.6308N，海拔350m。</p>\n\n<p>大孔径闪烁仪发布的数据包括：日期/时间Date/Time，空气折射指数结构参数Cn2 （m-2/3），感热通量H_LAS （W/m2）。</p>\n\n<p>观测试验或站点信息请参考 Jia et al,(2012),数据处理请参考Liu et al.(2013)。</p>",
    "ds_source": "<p>大孔径闪烁仪的采集频率为1Hz，有效高度为35.86m，光径长度是2420m，发射端经纬度是117.3319E，40.6446N，接收端的经纬度是117.3174E，40.6254N。</p>",
    "ds_process_way": "<p>大孔径闪烁仪发布的数据为经过处理与质量控制后的30min平均数据，其中感热通量主要是结合自动气象站数据，基于莫宁-奥布霍夫相似理论通过迭代计算得到</p>",
    "ds_quality": "<p>主要的质量控制步骤包括：（1）剔除Cn2达到饱和的数据；（2）剔除解调信号强度较弱的数据；（3）剔除降水时刻及其前后一小时的数据；（4）剔除稳定条件下的弱湍流的数据（u*小于0.1m/s）。</p>",
    "ds_acq_start_time": "2008-01-01 00:00:00",
    "ds_acq_end_time": "2010-12-29 00:00:00",
    "ds_acq_place": "北京市密云站海河流域",
    "ds_acq_lon_east": 117.26666666666667,
    "ds_acq_lat_south": 40.61638888888889,
    "ds_acq_lon_west": 117.26666666666667,
    "ds_acq_lat_north": 40.61638888888889,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 4241414,
    "ds_files_count": 3,
    "ds_format": "excel",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "2d7bda6b-6282-44c4-b369-d4e5b752cf24.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "用户在使用数据时需按要求对数据及文章进行引用，并对数据来源进行声明。请用户将使用本数据正式发表的文章反馈给数据提供者 （smliu@bnu.edu.cn）。",
    "ds_from_station": null,
    "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e",
    "ds_serv_man": "李红星 ",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": null,
    "quality_level": 3,
    "publish_time": "2021-01-11 10:03:23",
    "last_updated": "2023-08-23 16:46:07",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.Westdc.2020.438",
    "i18n": {
        "en": {
            "title": "Multi-scale surface flux and meteorological elements observation dataset in the Hai River Basin (Miyun site-large aperture scitillometer)",
            "ds_format": "",
            "ds_source": "<p>The acquisition frequency of the large aperture scintillator is 1Hz, the effective height is 35.86m, the optical path length is 2420m, the longitude and latitude of the transmitting end are 117.3319e, 40.6446n, and the longitude and latitude of the receiving end are 117.3174e, 40.6254n. </p>",
            "ds_quality": "<p>The main quality control steps include: (1) removing the data when cn2 reaches saturation; (2) removing the data with weak demodulation signal intensity; (3) removing the data at precipitation time and one hour before and after precipitation; (4) removing the data with weak turbulence under stable conditions (U * less than 0.1m/s). </p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>The data set includes the observation data of large aperture scintillator from January 1, 2008 to December 29, 2010. The site is located in Xinchengzi Town, Miyun County, Beijing, with orchards (plum trees and apple trees), corn / bare land and towns under the surface. The longitude and latitude of the observation point are 117.3233e, 40.6308n, and the altitude is 350m. </p>\n<p>The data published by the large aperture scintillator include: date / time, air refractive index structure parameter cn2 (m-2 / 3), sensible heat flux h_las (w / m2). </p>\n<p>For observation test or station information, please refer to Jia et al. (2012), and for data processing, please refer to Liu et al. (2013). </p>",
            "ds_time_res": "",
            "ds_acq_place": "",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>The data released by the large aperture scintillation instrument is the 30 minute average data after processing and quality control, in which the sensible heat flux is mainly obtained through iterative calculation based on the Monin obkhov similarity theory in combination with the data of the automatic weather station</p>",
            "ds_ref_instruction": "                                        When using data, users need to reference the data and articles as required, and declare the data source. Users are requested to give feedback to the data provider (smliu@bnu.edu.cn) on the articles officially published using this data."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 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,
    "ds_topic_tags": [
        "大孔径闪烁仪",
        "感热通量",
        "空气折射指数结构参数"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "密云站",
        "海河流域",
        "北京市"
    ],
    "ds_time_tags": [
        2008,
        2010
    ],
    "ds_contributors": [
        {
            "true_name": "刘绍民",
            "email": "smliu@bnu.edu.cn",
            "work_for": "北京师范大学",
            "country": "中国"
        },
        {
            "true_name": "徐自为",
            "email": "xuzw@bnu.edu.cn",
            "work_for": "北京师范大学地理学与遥感科学学院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "徐自为",
            "email": "xuzw@bnu.edu.cn",
            "work_for": "北京师范大学地理学与遥感科学学院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "徐自为",
            "email": "xuzw@bnu.edu.cn",
            "work_for": "北京师范大学地理学与遥感科学学院",
            "country": "中国"
        }
    ],
    "category": "气象"
}