{ "created": "2022-11-10 18:50:10", "updated": "2026-05-24 20:33:35", "id": "7c321896-d762-4f68-8228-b446549ede1e", "version": 12, "ds_topic": null, "title_cn": "青藏高原气象站点多年平均N系数表数据集（1980-2020年）", "title_en": "Data set of multi-year average N coefficient table of Qinghai Tibet Plateau meteorological stations (1980-2020)", "ds_abstract": "

  本数据集基于青藏高原66个气象站点1980-2020年逐日的气温/地温数据，计算1980-2020年大气冻结指数/地面冻结指数，进而得到每个气象站点1980-2020年多年平均冻结N系数及其变化斜率；计算1980-2020年大气融化指数/地面融化指数，得到每个气象站点1980-2020年多年平均融化N系数及其变化斜率。\n

\n

  青藏高原气象站点1980-2020年N系数表中内容如下：\n

\n

  Nf:1980-2020年冻结N系数多年平均值±标准差\n

\n

  Nt:1980-2020年融化N系数多年平均值±标准差\n

\n

  Slope_Nf:1980-2020年冻结N系数的变化斜率\n

  Slope_Nt:1980-2020年融化N系数的变化斜率

", "ds_source": "

  气象站点气温/地温数据来源于中国气象数据网(http://data.cma.cn/)", "ds_process_way": "

  如数据缺测一天，用临近日平均气温代替；连续两天缺测，缺测首日取该日前两天数据的平均值进行填补，缺测第二天选取该缺测日后两天数据的平均值进行填补。缺测两天及以上，用前一年同时期数据补齐。

", "ds_quality": "

  其中11个气象站点的日平均地温数据均大于零，冻结N系数为零；冻结N系数及融化N系数的变化斜率的P值<0.05。

", "ds_acq_start_time": "1980-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "青藏高原", "ds_acq_lon_east": 104.46416666666667, "ds_acq_lat_south": 23.279722222222222, "ds_acq_lon_west": 75.0975, "ds_acq_lat_north": 42.138888888888886, "ds_acq_alt_low": 81.0, "ds_acq_alt_high": 8864.0, "ds_share_type": "login-access", "ds_total_size": 15723, "ds_files_count": 3, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "7c321896-d762-4f68-8228-b446549ede1e.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "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": "10.12072/ncdc.NIEER.db2487.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-11-15 16:57:04", "last_updated": "2025-04-23 10:03:53", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.db2487.2022", "i18n": { "en": { "title": "Data set of multi-year average N coefficient table of Qinghai Tibet Plateau meteorological stations (1980-2020)", "ds_format": "Excel", "ds_source": "

  The temperature/ground temperature data from meteorological stations is sourced from the China Meteorological Data Network（ http://data.cma.cn/ )", "ds_quality": "

  The daily average ground temperature data of 11 meteorological stations are greater than zero, and the freezing N coefficient is zero; P value of change slope of freezing N coefficient and melting N coefficient is less than 0.05", "ds_ref_way": "", "ds_abstract": "

  This dataset is based on daily temperature/ground temperature data from 66 meteorological stations on the Qinghai Tibet Plateau from 1980 to 2020. The atmospheric freezing index/ground freezing index from 1980 to 2020 is calculated, and the average freezing N coefficient and its slope for each meteorological station from 1980 to 2020 are obtained; Calculate the atmospheric melting index/ground melting index from 1980 to 2020, and obtain the average melting N coefficient and its slope for each meteorological station from 1980 to 2020.\n

\n

  The content of the N coefficient table for meteorological stations on the Qinghai Tibet Plateau from 1980 to 2020 is as follows:\n

\n

   Nf: Annual average ± standard deviation of frozen N coefficient from 1980 to 2020\n

\n

   Nt: Annual average ± standard deviation of melting N coefficient from 1980 to 2020\n

\n

  Slope_Nf: Slope of frozen N coefficient from 1980 to 2020\n

   Slope_Nt: Slope of the variation of melting N coefficient from 1980 to 2020

", "ds_time_res": "年", "ds_acq_place": "Qinghai Tibet Plateau", "ds_space_res": "", "ds_projection": "", "ds_process_way": "

  If the data is missing for one day, replace it with the average temperature of the adjacent day; For two consecutive days of missed measurement, the first day of missed measurement shall be filled with the average value of the data of the previous two days, and the second day of missed measurement shall be filled with the average value of the data of the following two days. If the test is missing for two days or more, the data of the same period of the previous year shall be used to supplement", "ds_ref_instruction": "" } }, "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": [ "冻融指数", "N系数", "冻土制图" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "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, 2020 ], "ds_contributors": [ { "true_name": "罗栋梁", "email": "luodongliang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "陈方方", "email": "dalichen@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": "罗栋梁", "email": "luodongliang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "陈方方", "email": "dalichen@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": "罗栋梁", "email": "luodongliang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "陈方方", "email": "dalichen@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": "气象" }