{
    "created": "2024-09-29 13:11:18",
    "updated": "2026-08-08 01:52:48",
    "id": "2ae3a74b-1591-42b7-924e-02e750787b3c",
    "version": 6,
    "ds_topic": null,
    "title_cn": "2001-2016年中亚五国和中国新疆范围的0.5°月降水量数据",
    "title_en": "",
    "ds_abstract": "<p>本数据集是中亚五国和中国新疆范围的2001-2016年每年1月-12月192期月降水量GeoTIFF栅格数据（数据集中pre代表降雨）空间分辨率：0.5°，投影坐标GCS_WGS_1984。</p>",
    "ds_source": "<p>该数据集来自英国东安格利亚大学（University of East Anglia）提供的CRU（Climate Research Unit）全球格网数据（http://www.cgiar-csi.org/）。</p>",
    "ds_process_way": "<p>本数据是利用Arcgis对CRU全球数据进行批量裁剪，得到中亚五国和中国新疆范围的降水量数据。</p>",
    "ds_quality": "<p>没有改变CRU数据的精度和空间参考。</p>",
    "ds_acq_start_time": "2001-01-01 00:00:00",
    "ds_acq_end_time": "2016-12-31 00:00:00",
    "ds_acq_place": "哈萨克斯坦；吉尔吉斯坦；塔吉克斯坦；乌兹别克斯坦；土库曼斯坦；中国新疆",
    "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": 1269641,
    "ds_files_count": 1,
    "ds_format": "Geotiff",
    "ds_space_res": "0.5°",
    "ds_time_res": "月",
    "ds_coordinate": "WGS84",
    "ds_projection": "WGS84",
    "ds_thumbnail": "2ae3a74b-1591-42b7-924e-02e750787b3c.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6",
    "doi_value": "",
    "subject_codes": [
        "170.15"
    ],
    "quality_level": 1,
    "publish_time": "2024-09-29 13:24:28",
    "first_publish_time": "2024-09-29 13:24:28",
    "last_updated": "2025-04-22 15:45:01",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "33110.11.ariddc.00169",
    "license": null,
    "extra": null,
    "files_shape": [
        {
            "name": "2001-2016_CA_XJ_PREP_DATA.rar",
            "size": 1269641,
            "is_dir": false
        }
    ],
    "features": null,
    "data_level": 0,
    "i18n": {
        "en": {
            "title": "2001-2016 Monthly precipitation data of 0.5° across the five Central Asian countries and Xinjiang in China in",
            "ds_abstract": "<p>This dataset is GeoTIFF grid data of 192 monthly precipitation from January to December every year from 2001 to 2016 in the five Central Asian countries and Xinjiang of China (pre in the dataset represents rainfall). Spatial resolution: 0.5°, projection coordinates GCS_WGS_1984. </p>",
            "ds_source": "<p>This dataset comes from CRU (Climate Research Unit) global grid data provided by the University of East Anglia in the United Kingdom (http://www.cgiar-csi.org/). </p>",
            "ds_process_way": "<p>This data uses Arcgis to cut CRU global data in batches to obtain precipitation data across five Central Asian countries and Xinjiang in China. </p>",
            "ds_quality": "<p>The precision and spatial reference of CRU data have not been changed. </p>",
            "ds_acq_place": "Kazakhstan; Kyrgyzstan; Tajikistan; Uzbekistan; Turkmenistan; China Xinjiang",
            "ds_format": "Geotiff",
            "ds_projection": "WGS84",
            "ds_space_res": "0.5°",
            "ds_time_res": "months"
        }
    },
    "license_type": null,
    "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": [
        "降水量"
    ],
    "ds_subject_tags": [
        "大气科学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "吉尔吉斯斯坦",
        "乌兹别克斯坦",
        "土库曼斯坦",
        "哈萨克斯坦",
        "中国新疆",
        "塔吉克斯坦"
    ],
    "ds_time_tags": [
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016
    ],
    "ds_contributors": [
        "刘铁"
    ],
    "ds_meta_authors": [
        "刘铁",
        "李锦"
    ],
    "ds_managers": [
        "刘铁"
    ],
    "category": "遥感再分析数据"
}