{
    "created": "2026-07-07 12:03:50",
    "updated": "2026-07-17 22:09:01",
    "id": "cb50c76f-7e65-405f-8a06-9896873f2dfe",
    "version": 2,
    "ds_topic": null,
    "title_cn": "帕米尔高原地区降水和实际蒸散发1980-2019",
    "title_en": "Precipitation and actual evapotranspiration in the Pamirs 1980-2019",
    "ds_abstract": "<p>本数据包含年降水量（Pr）、年实际蒸散发（AET）。</p>",
    "ds_source": "<p>数据源于TerraClimate数据集（https://www.climatologylab.org/terraclimate.html）。TerraClimate使用气候辅助插值法，将来自 WorldClim 数据集的高空间分辨率气候学常模与来自 CRU Ts4.0 和日本 55 年再分析（JRA55）的较粗空间分辨率但时变的数据相结合。从概念上讲，该程序将 CRU Ts4.0/JRA55 的内插时变异常数据应用于 WorldClim 的高空间分辨率气候数据集，以创建一个涵盖更广泛时间记录的高空间分辨率数据集。JRA55 仅用于太阳辐射和风速，TerraClimate使用水分平衡模型生成月度地表水平衡数据集。</p>",
    "ds_process_way": "",
    "ds_quality": "",
    "ds_acq_start_time": null,
    "ds_acq_end_time": null,
    "ds_acq_place": "",
    "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": "open-access",
    "ds_total_size": 10724823,
    "ds_files_count": 320,
    "ds_format": "GeoTiff格式",
    "ds_space_res": "4000",
    "ds_time_res": "年",
    "ds_coordinate": "WGS84",
    "ds_projection": "WGS84",
    "ds_thumbnail": "cb50c76f-7e65-405f-8a06-9896873f2dfe.png",
    "ds_thumb_from": 0,
    "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": "2026-07-07 12:15:06",
    "first_publish_time": null,
    "last_updated": "2026-07-07 12:24:32",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": null,
    "license": null,
    "extra": null,
    "files_shape": [
        {
            "name": "AET_Year_1980-2019",
            "size": null,
            "is_dir": true
        },
        {
            "name": "Pr_Year_1980-2019",
            "size": null,
            "is_dir": true
        }
    ],
    "features": null,
    "data_level": 0,
    "i18n": {
        "en": {
            "title": "Precipitation and actual evapotranspiration in the Pamirs 1980-2019",
            "ds_abstract": "This data includes annual precipitation (Pr) and annual actual evapotranspiration (AET).",
            "ds_source": "The data comes from the TerraClimate dataset (https://www.climatologylab.org/terraclimate.html). TerraClimate uses climate-assisted interpolation to combine high-spatial-resolution climatological norms from the WorldClim dataset with coarser spatial-resolution but time-varying data from CRU Ts4.0 and Japan's 55-Year Reanalysis (JRA55). Conceptually, the program applies interpolated time-varying anomaly data from CRU Ts4.0/JRA55 to WorldClim's high spatial resolution climate dataset to create a high spatial resolution dataset that covers a wider range of time records. JRA55 is used only for solar radiation and wind speed, and TerraClimate uses a water balance model to generate a monthly surface water balance dataset.",
            "ds_process_way": "",
            "ds_quality": "",
            "ds_acq_place": "",
            "ds_ref_instruction": "",
            "ds_ref_way": "",
            "ds_format": "GeoTiff format",
            "ds_projection": "WGS84",
            "ds_space_res": "",
            "ds_time_res": ""
        }
    },
    "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",
        "蒸散发"
    ],
    "ds_subject_tags": [
        "大气科学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "帕米尔高原地区"
    ],
    "ds_time_tags": [
        1980,
        1981,
        1982,
        1983,
        1984,
        1985,
        1986,
        1987,
        1988,
        1989,
        1990,
        1991,
        1992,
        1993,
        1994,
        1995,
        1996,
        1997,
        1998,
        1999,
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019
    ],
    "ds_contributors": [
        "张净净"
    ],
    "ds_meta_authors": [
        "张净净"
    ],
    "ds_managers": [
        "马龙"
    ],
    "category": "气象"
}