{
    "created": "2023-02-20 17:01:42",
    "updated": "2026-04-19 01:23:05",
    "id": "da54963b-d2c3-42e0-ad10-9af432c31753",
    "version": 7,
    "ds_topic": null,
    "title_cn": "祁连山气象观测网格数据集（1961-2020年）",
    "title_en": "Qilian Mountain Meteorological Observation Grid Data Set (1961-2020)",
    "ds_abstract": "<p>&emsp;&emsp;中国气象观测网格数据是基于中国地面高密度台站（2472个国家级气象观测站）的气象资料，利用ANUSPLIN软件的薄盘样条法 (TPS，Thin Plate Spline)进行空间插值，生成1961年以来的中国地面水平分辨率0.5°×0.5°的气象格点数据。本数据包含了1961-2020年气温和降水的格点数据，每个txt文件为一个月。",
    "ds_source": "<p>&emsp;&emsp;国家气象科学数据中心插值格点数据（来源：https://data.cma.cn/）。",
    "ds_process_way": "<p>&emsp;&emsp;直接下载收集。",
    "ds_quality": "<p>&emsp;&emsp;本数据为中国气象数据网（https://data.cma.cn/） 下载的原始数据，版本为V2.0，精度为0.5°×0.5°，格式为txt，并未进行其余处理。",
    "ds_acq_start_time": "1961-01-01 00:00:00",
    "ds_acq_end_time": "2020-12-31 00:00:00",
    "ds_acq_place": "祁连山地区",
    "ds_acq_lon_east": 104.0,
    "ds_acq_lat_south": 35.0,
    "ds_acq_lon_west": 92.0,
    "ds_acq_lat_north": 41.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 11463911,
    "ds_files_count": 2,
    "ds_format": "txt",
    "ds_space_res": "0.5度",
    "ds_time_res": "月",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "da54963b-d2c3-42e0-ad10-9af432c31753.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "52109486-75ef-4764-a933-6380c6f42432",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "10.12072/ncdc.nieer.db2728.2023",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2023-02-28 21:37:06",
    "last_updated": "2025-06-30 14:55:01",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.nieer.db2728.2023",
    "i18n": {
        "en": {
            "title": "Qilian Mountain Meteorological Observation Grid Data Set (1961-2020)",
            "ds_format": "txt",
            "ds_source": "<p>&emsp;&emsp; Interpolation grid data of National Meteorological Science Data Center (source: https://data.cma.cn/ ）。",
            "ds_quality": "<p>&emsp;&emsp; This data is from China Meteorological Data Network（ https://data.cma.cn/ ）Original data downloaded, version V2.0, accuracy 0.5 ° × 0.5 °, format is txt, and other processing is not performed.",
            "ds_ref_way": "",
            "ds_abstract": "<p>   The data of China Meteorological Observation Grid is based on the meteorological data of China's surface high-density observatories (2472 national meteorological observatories), using the thin plate spline (TPS, Thin Plate Spline) of ANUSPLIN software to carry out spatial interpolation, and generate China's surface horizontal resolution of 0.5 ° since 1961 × 0.5 ° meteorological grid data. This data contains the grid data of temperature and precipitation from 1961 to 2020. Each txt file is one month.</p>",
            "ds_time_res": "月",
            "ds_acq_place": "Qilian Mountain Region",
            "ds_space_res": "0.5度",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp; Download and collect directly.",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "祁连山",
        "降水",
        "气温",
        "格点数据"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "祁连山地区"
    ],
    "ds_time_tags": [
        1961,
        2020
    ],
    "ds_contributors": [
        {
            "true_name": "李育",
            "email": "liyu@lzu.edu.cn",
            "work_for": "兰州大学资源环境学院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "张占森",
            "email": "826872873@qq.com",
            "work_for": "兰州大学资源环境学院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "李育",
            "email": "liyu@lzu.edu.cn",
            "work_for": "兰州大学资源环境学院",
            "country": "中国"
        }
    ],
    "category": "气象"
}