本数据集共享了中巴经济走廊中国境内部分区域3个气象观测站点 1961-2017 年内的极端升温过程14项要素。\n本数据集由6个文件（CSV）组成，每个测站2个文件，1个文件是该站升温过程数据，1个是该站极端升温过程数据。升温过程数据文件中包括该站1961年1月1日至2017年12月31日的所有升温过程相关要素结果，数据文件命名规则：Temperature-rising+气象测站编号+1961-2017.CSV。每次升温过程均包括13个要素：升温过程开始日期（年 、月、日）、结束日期（年 、月、日）、过程持续日数、过程升温幅度、过程中最大24h、48h及72h升温幅度（若过程不足2d则48h、72h升温幅度空缺，若不足3d，则72h升温幅度空缺）、过程极端最高气温、过程日气温距平幅度最大值。升温过程数据文件命名规则为：temperature_rising_process_XXXXX_1961_2017.CSV（XXXXX表示WMO统一的气象台站编号）每个文件数据量根据该站升温过程数量多少而有差异，未压缩数据量大约为253-282 KB。在此基础上又整理了该站极端升温过程数据文件，数据文件命名规则：extreme_temperature_rising_process_PER05_XXXXX_1961_2017.CSV（XXXXX表示WMO统一的气象台站编号），文件中每次升温过程要素与上一个文件相同，多了1项综合强度指数。文件数据量根据各站升温过程数量多少而有差异，未压缩数据文件大约为15-17 KB。
", "ds_source": "采用的原始气象站观测资料来源于中国气象科学数据共享服务网，气象观测站点主要分布于中巴经济走廊中国境内部分区域，气象观测站高程范围在3000 m以上，分布在新疆维吾尔自治区，主要包括塔什库尔干、吐尔尕特和乌恰3个气象站点
", "ds_process_way": "原始数据，未经加工处理
", "ds_quality": "本数据在获取处理各阶段均有专业人员负责，数据质量良好。
", "ds_acq_start_time": "1961-01-01 00:00:00", "ds_acq_end_time": "2017-12-31 00:00:00", "ds_acq_place": "中巴经济走廊北端帕米尔高原山区中国段", "ds_acq_lon_east": 76.0, "ds_acq_lat_south": 36.0, "ds_acq_lon_west": 73.0, "ds_acq_lat_north": 40.0, "ds_acq_alt_low": 4500.0, "ds_acq_alt_high": 6000.0, "ds_share_type": "apply-access", "ds_total_size": 864225, "ds_files_count": 2, "ds_format": "CSV", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "29a35423-ee77-40ae-bc4f-cb2e7a680444.png", "ds_thumb_from": 2, "ds_ref_way": "", "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": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2021-01-07 10:07:15", "last_updated": "2023-08-23 17:02:38", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1354", "i18n": { "en": { "title": "Data set of extreme warming process in Pamir Plateau at the northern end of China Pakistan Economic Corridor (1961-2017)", "ds_format": "", "ds_source": "The original observation data of meteorological stations are from the China Meteorological science data sharing service network. The meteorological observation stations are mainly distributed in parts of China in the China Pakistan Economic Corridor. The elevation range of the meteorological observation stations is more than 3000 m, and they are mainly distributed in Xinjiang Uygur Autonomous Region, including three meteorological stations in Tashkurgan, turgat and Wuqia
", "ds_quality": "This data is in the charge of professionals at all stages of acquisition and processing, with good data quality.
", "ds_ref_way": "", "ds_abstract": "This data set shares 14 elements of extreme warming process in 1961-2017 at three meteorological observation stations in some regions of China in the China Pakistan Economic Corridor.\nThis data set consists of six files (CSV), two files for each station, one is the temperature rise process data of the station, and one is the extreme temperature rise process data of the station. The data file of the warming process includes the results of all factors related to the warming process of the station from January 1, 1961 to December 31, 2017. The naming rule of the data file is: temperature rising + Meteorological Station No. + 1961-2017.csv. Each heating process includes 13 elements: starting date (year, month, day) and ending date (year) , month, day), process duration days, process warming amplitude, maximum warming amplitude of 24h, 48h and 72h in the process (if the process is less than 2D, the warming amplitude of 48h and 72h will be vacant, if less than 3D, the warming amplitude of 72h will be vacant), extreme maximum temperature of the process, and maximum daily temperature anomaly amplitude of the process. The naming rule of temperature rise process data file is: temperature rising process xxxxx 1961.csv (xxxxx represents WMO unified meteorological station number). The data volume of each file varies according to the number of temperature rise processes in the station, and the uncompressed data volume is about 253-282 KB. On this basis, the data files of extreme temperature rise process of the station are sorted out. The naming rules of data files are as follows: extreme temperature rise process per05 xxxxx 1961 CSV (xxxxx represents WMO unified meteorological station number). The elements of each temperature rise process in the files are the same as those in the previous file, with one more comprehensive strength index. The amount of file data varies according to the number of heating processes in each station. The uncompressed data file is about 15-17 KB.
", "ds_time_res": "日", "ds_acq_place": "China section of Pamir Plateau at the northern end of China Pakistan Economic Corridor", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Raw data, unprocessed
", "ds_ref_instruction": " \nIn order to protect the rights and interests of the platform's scientific and technological resources, expand the service of the platform center, and enhance the application potential of the scientific and technological resources, resource users are requested to clearly indicate the resource sources and resource authors in the research results (including published papers, works, data products and unpublished research reports, data products and other results) produced by using the resources." } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "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": [ "气象站点", "中巴经济走廊", "极端升温过程", "帕米尔高原" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中巴经济走廊", "乌恰", "帕米尔高原中国段", "吐尔尕特", "塔什库尔干" ], "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 ], "ds_contributors": [ { "true_name": "姚俊强", "email": "", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" }, { "true_name": "毛炜峄", "email": "mao6991@vip.sina.com", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" }, { "true_name": "陈静", "email": "", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "毛炜峄", "email": "mao6991@vip.sina.com", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "毛炜峄", "email": "mao6991@vip.sina.com", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" }, { "true_name": "姚俊强", "email": "", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" } ], "category": "气象" }