该数据包含了祁连山从1961年至2020年的SPEI栅格数据集，地理坐标系WGS_1984,投影坐标系Albers。通过计算逐月降水量与潜在蒸散量的差值及其偏离平均状态的程度，建立基于不同时间尺度的水分盈亏累计序列，具有多时间尺度的特点，能够综合反映区域干湿状况的演变过程。", "ds_source": "
气象数据从中国气象科学数据共享服务网（http://data.cma.cn/）获取。地理空间数据云获取数字高程（DigitalElevation Model, DEM）等。", "ds_process_way": "
基于气温、降水栅格数据，计算获得祁连山国家公园的SPEI长时间序列栅格数据集。通过计算逐月降水量与潜在蒸散量的差值及其偏离平均状态的程度，建立基于不同时间尺度的水分盈亏累计序列，具有多时间尺度的特点，能够综合反映区域干湿状况的演变过程。", "ds_quality": "
严格遵循相关技术规定和标准进行数据加工，操作规范，数据完整性，逻辑一致性，精度高，质量较好。", "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", "ds_acq_lon_east": 102.98555555555555, "ds_acq_lat_south": 36.77916666666667, "ds_acq_lon_west": 94.81888888888888, "ds_acq_lat_north": 39.78472222222222, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 9236126, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "c3b05719-5201-4bc6-a3ac-4fa723b317e9.png", "ds_thumb_from": 0, "ds_ref_way": "王让会，祁连山国家公园逐月干旱指数数据（1961-2020年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2023，doi：10.12072/ncdc.nieer.db2739.2023", "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.db2739.2023", "subject_codes": [ "170.45" ], "quality_level": 0, "publish_time": "2023-02-28 21:27:15", "last_updated": "2023-03-01 11:05:46", "protected": false, "protected_to": "2024-01-01 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.nieer.db2739.2023", "i18n": { "en": { "title": "Monthly drought index data of Qilian Mountain National Park (1961-2020)", "ds_format": "", "ds_source": "
Meteorological data from China Meteorological Science Data Sharing Service Network（ http://data.cma.cn/ ）Get. Geospatial data cloud obtains digital elevation model (DEM), etc.", "ds_quality": "
Strictly follow relevant technical regulations and standards for data processing, operation specifications, data integrity, logic consistency, high accuracy and good quality.", "ds_ref_way": "", "ds_abstract": "
This data includes the SPEI grid data set of Qilian Mountains from 1961 to 2020, and the geographic coordinate system WGS_ 1984, projection coordinate system Albert. By calculating the difference between monthly precipitation and potential evapotranspiration and the degree of deviation from the average state, the cumulative series of water gains and losses based on different time scales is established, which has the characteristics of multiple time scales and can comprehensively reflect the evolution process of regional dry and wet conditions.
", "ds_time_res": "日", "ds_acq_place": "Qilian Mountains", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Based on the temperature and precipitation grid data, the SPEI long time series grid data set of Qilian Mountain National Park was calculated. By calculating the difference between monthly precipitation and potential evapotranspiration and the degree of deviation from the average state, the cumulative series of water gains and losses based on different time scales is established, which has the characteristics of multiple time scales and can comprehensively reflect the evolution process of regional dry and wet conditions.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "ds_topic_tags": [ "祁连山", "SPEI", "栅格数据集" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山" ], "ds_time_tags": [ 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, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 ], "ds_contributors": [ { "true_name": "王让会", "email": "rhwang@nuist.edu.cn", "work_for": "南京信息工程大学应用气象学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "周钧", "email": "2754137507@qq.com", "work_for": "南京信息工程大学应用气象学院", "country": "中国" } ], "ds_managers": [ { "true_name": "王让会", "email": "rhwang@nuist.edu.cn", "work_for": "南京信息工程大学应用气象学院", "country": "中国" } ], "category": "生态" }