{
    "created": "2026-06-15 18:20:53",
    "updated": "2026-08-08 01:49:06",
    "id": "860c24ab-9f55-4a7d-b176-9c833fbd22b8",
    "version": 2,
    "ds_topic": null,
    "title_cn": "自校准帕尔默干旱程度指数（scPDSI）1901-2022",
    "title_en": "Self-Calibrating Palmer Drought Index (scPDSI) 1901-2022",
    "ds_abstract": "<p>自校准帕尔默干旱程度指数scPDSI（1901年1月-2022年12月，0.5°×0.5°分辨率）基于降水和潜在蒸散发（PET）数据，采用自校准帕尔默干旱程度指数（scPDSI）计算，是用于评估干旱强度和持续时间的重要气候数据集。scPDSI指数通过考虑土壤水分、气温和降水等因素，能够反映更广泛的干旱状况，尤其适合长期干旱分析。\n该数据集以NetCDF格式提供，包含时间（年月）、空间坐标（经纬度）和scPDSI值（无量纲）。scPDSI值为负表示干旱，值为正表示湿润，数据经过插值和校正处理，确保空间和时间一致性。</p>",
    "ds_source": "<p></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": 215044034,
    "ds_files_count": 1,
    "ds_format": "NetCDF文件",
    "ds_space_res": "0.5°",
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "WGS84",
    "ds_thumbnail": "860c24ab-9f55-4a7d-b176-9c833fbd22b8.jpg",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "自校准帕尔默干旱程度指数scPDSI\r\nWells Nathan, Goddard Steve, Hayes Michael J. A Self-Calibrating Palmer Drought Severity Index[J]. Journal of Climate, 2004-15, 17,(12): 2335–2351,",
    "ds_from_station": null,
    "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6",
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 1,
    "publish_time": "2026-06-15 18:39:05",
    "first_publish_time": null,
    "last_updated": "2026-06-15 18:39:05",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": null,
    "license": null,
    "extra": null,
    "files_shape": [
        {
            "name": "scPDSI.cru_ts4.07early1.1901.2022.cal_1901_22.bams.2023.GLOBAL.IGBP.WHC.1901.2022.nc",
            "size": 215044034,
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        }
    ],
    "features": null,
    "data_level": 0,
    "i18n": {
        "en": {
            "title": "Self-Calibrating Palmer Drought Index (scPDSI) 1901-2022",
            "ds_abstract": "<p>The Self-Calibrating Palmer Drought Index scPDSI (January 1901-December 2022, 0.5°×0.5° resolution) is based on precipitation and potential evapotranspiration (PET) data and calculated using the Self-Calibrating Palmer Drought Index (scPDSI). It is an important climate data set used to assess the intensity and duration of drought. The scPDSI index can reflect broader drought conditions by considering factors such as soil moisture, temperature and precipitation, and is especially suitable for long-term drought analysis.\nThe dataset is provided in NetCDF format and contains time (month, month), spatial coordinates (latitude and longitude), and scPDSI values (dimensionless). A negative scPDSI value indicates drought, and a positive value indicates dampness. The data is interpolated and corrected to ensure spatial and temporal consistency. </p>",
            "ds_source": "<p></p>",
            "ds_ref_instruction": "Self-calibrating Palmer Drought Index scPDSI\r\nWells Nathan, Goddard Steve, Hayes Michael J. A Self-Calibrating Palmer Drought Severity Index[J]. Journal of Climate, 2004-15, 17,(12): 2335–2351,",
            "ds_format": "netCDF file",
            "ds_projection": "WGS84",
            "ds_space_res": "0.5°"
        }
    },
    "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": [
        "全球",
        "scPDSI"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "全球"
    ],
    "ds_time_tags": [
        1901,
        1902,
        1903,
        1904,
        1905,
        1906,
        1907,
        1908,
        1909,
        1910,
        1911,
        1912,
        1913,
        1914,
        1915,
        1916,
        1917,
        1918,
        1919,
        1920,
        1921,
        1922,
        1923,
        1924,
        1925,
        1926,
        1927,
        1928,
        1929,
        1930,
        1931,
        1932,
        1933,
        1934,
        1935,
        1936,
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        1955,
        1956,
        1957,
        1958,
        1959,
        1960,
        1961,
        1962,
        1963,
        1964,
        1965,
        1966,
        1967,
        1968,
        1969,
        1970,
        1971,
        1972,
        1973,
        1974,
        1975,
        1976,
        1977,
        1978,
        1979,
        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,
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        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019,
        2020,
        2021
    ],
    "ds_contributors": [
        "李涛"
    ],
    "ds_meta_authors": [
        "李涛"
    ],
    "ds_managers": [
        "包安明"
    ],
    "category": "气象"
}