在全球变暖的背景下，区域降水的变化趋势，幅度，变率和周期性会有所不同。中巴经济走廊做为“一路一带”倡议中，气候环境多变，自然灾害多样频发的典型区域，其受到减弱的印度洋季风和加强的西风的影响，降水具有时空变异性，本数据集为了解中巴经济走廊区域降水的时空变化及趋势演变提供基础资料。
\n\n本数据集基于CRU全球格点数据，制备了中巴经济走廊区域1901-2018年间降水量空间数据集，共计1654个GeoTIFF文件，其中降水量单位为mm，空间分辨率为0.5°×0.5°，时间分辨率为月，年以及多年(1901-2018)。
", "ds_source": "英国东安格利亚大学CRU气象格点数据集,版本号: v. 4.03
", "ds_process_way": "对原始数据进行格式转换，区域裁剪，统计分析，生成了4类气温空间数据集：
\n\n(1) 1901-2018年间降水量的最小值与最大值，分别生产CPEC_all_pre_max.tif与CPEC_all_pre_min.tif两个数据文件;
\n\n(2) 根据每月的降水量取均值，形成年均降水量，命名形式为：CPEC_YYYY_pre.tif ；
\n\n(3) 根据每月的降水量总和，形成年总降水量，命名形式为：CPEC_YYYY_pre_total.tif
\n\n(4)月降水量命名形式为：CPEC_YYYYMM_pre.tif，其中YYYY 四位数标识年份 MM 两位数标识月份。
", "ds_quality": "本数据集的时空精度与原始CRU数据保持一致，质量良好，适宜于气候变化研究及环境演变分析。
", "ds_acq_start_time": "1901-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "中巴经济走廊", "ds_acq_lon_east": 79.86666666666666, "ds_acq_lat_south": 23.75, "ds_acq_lon_west": 60.86638888888889, "ds_acq_lat_north": 41.416666666666664, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 4129438, "ds_files_count": 2, "ds_format": "Geotiff", "ds_space_res": "1000.0m", "ds_time_res": "月，年，多年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": null, "ds_thumb_from": 2, "ds_ref_way": "赵国辉，中巴经济走廊降水时空数据集（ 1901-2018年），国家特殊环境、特殊功能 观测研究台站共享平台，2018，doi：10.12072/casnw.045.2018.db", "paper_ref_way": "", "ds_ref_instruction": null, "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "myf@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2020-12-21 13:20:59", "last_updated": "2023-05-16 17:34:55", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1319", "i18n": { "en": { "title": "Spatial and temporal dataset of precipitation in China-Pakistan Economic Corridor, from 1901 to 2018", "ds_format": "", "ds_source": "Cru weather grid data set, University of East Anglia, UK, version number: v. 4.03
", "ds_quality": "The spatial and temporal accuracy of this data set is consistent with the original CRU data, and the quality is good. It is suitable for climate change research and environmental evolution analysis.
", "ds_ref_way": "\nZhao Guohui, Spatial and temporal dataset of precipitation in China-Pakistan Economic Corridor, from 1901 to 2018, national special environment and special function observation and research station sharing platform, 2018, DOI: 10.12072/casnw.045.2018.db", "ds_abstract": "Under the background of global warming, the change trend, amplitude, variability and periodicity of regional precipitation will be different. China-Pakistan Economic Corridor is a typical area with changeable climate environment and frequent natural disasters in the \"one road and one belt\" initiative. Affected by the weakening Indian Ocean monsoon and strengthened westerly wind, the precipitation has spatial-temporal variability. This data set provides basic information for understanding the spatial-temporal change and trend evolution of precipitation in the China Pakistan Economic Corridor region.
\nBased on the CRU global grid data, this data set has prepared a total of 1654 GeoTIFF files of precipitation in China Pakistan Economic Corridor region from 1901 to 2018. The precipitation unit is mm, the spatial resolution is 0.5 ° x 0.5 ° and the temporal resolution is month, year and years (1901-2018).
", "ds_time_res": "月，年，多年", "ds_acq_place": "China- Pakistan Economic Corridor", "ds_space_res": "1000.0m", "ds_projection": "", "ds_process_way": "Four types of spatial data sets of air temperature were generated by format conversion, regional clipping and statistical analysis
\n(1) The minimum and maximum precipitation from 1901 to 2018 produce CPEC respectively_ all_ pre_ max.tif And CPEC_ all_ pre_ min.tif Two data files
\n(2) Take the mean value of monthly precipitation to form the annual precipitation, named as CPEC_ YYYY_ pre.tif ；
\n(3) According to the sum of monthly precipitation, the annual total precipitation is formed, named as CPEC_ YYYY_ pre_ total.tif
\n(4) The name of monthly precipitation is CPEC_ YYYYMM_ pre.tif Where yyyy four digits identify the year mm two digits identify the month.
", "ds_ref_instruction": "\nNone" } }, "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": [ "降水", "中巴经济走廊", "CRU气象格点数据" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "中巴经济走廊" ], "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, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 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, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018 ], "ds_contributors": [ { "true_name": "赵国辉", "email": "zhgh@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "赵国辉", "email": "zhgh@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "赵国辉", "email": "zhgh@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "基础地理" }