中国天山具有复杂的生态环境系统。它不仅有大量的沙漠绿洲，而且还孕育了许多冰川。气候干旱和水资源短缺是制约该地区社会经济发展的重要因素。基于稳健的统计降尺度框架，建立了1979 - 2016年中国天山地区独特的高分辨率(1km, 6h)气温数据集。数据集的覆盖范围为41.1814-45.9945°N, 77.3484-96.9989°E。栅格点来源于SRTM DEM，从90m重采样到1km。网格点总数为818126个。时间步长为6小时，分别为00、06、12和18 Uhr。该数据集经过24个气象站日尺度的验证。与未缩小的ERA-Interim温度相比，所有试验点的Nash-Sutcliffe效率系数(NSE)从0.90增加到0.94。约24%的均方根误差(RMSE)从3.75°C降至2.85°C。基于概率密度函数(PDF)的技能得分，用于验证新数据集捕获分布的可靠性，在所有测试站点从0.86提高到0.91。结果表明，该高分辨率数据集对中国天山地区的气候变化调查是可靠的。该数据集将有助于潜在用户更好地进行中国天山地区的气候监测、建模和环境研究。", "ds_source": "
校正采用欧洲中期天气预报中心(ECMWF)再分析产品；分析使用国家气象信息中心中国气象数据共享服务系统(CMA-CMDC, http://data.cma.cn/）。", "ds_process_way": "
分析计算。", "ds_quality": "
数据质量较好。", "ds_acq_start_time": "1979-01-01 00:00:00", "ds_acq_end_time": "2016-12-31 00:00:00", "ds_acq_place": "中国天山", "ds_acq_lon_east": 45.99444444444445, "ds_acq_lat_south": 77.34833333333333, "ds_acq_lon_west": 41.18138888888889, "ds_acq_lat_north": 96.99888888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 181702539744, "ds_files_count": 289, "ds_format": "NC", "ds_space_res": "1000m", "ds_time_res": "6小时", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "51b698e2-0b5d-46a9-8287-445959c3c0ec.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "99c0a56f-14cb-4cfc-a9a1-bb4b8d16a658", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.15" ], "quality_level": 3, "publish_time": "2024-08-29 09:02:37", "last_updated": "2026-01-14 10:57:40", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.PANGAEA.DB6657.2024", "i18n": { "en": { "title": "A high-resolution air temperature data set for the Chinese Tianshan Mountains in 1979-2016", "ds_format": "nc", "ds_source": "
The correction adopts the reanalysis product of the European Centre for Medium Range Weather Forecasts (ECMWF); Analyze and utilize the China Meteorological Data Sharing Service System (CMA-CMDC) of the National Meteorological Information Center, http://data.cma.cn/ ）.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
The Chinese Tianshan Mountains (CTM) has a complex ecological environment system. It not only has a large number of desert oases, but also gave birth to a large number of glaciers. The arid climate and the shortage of water resources are the important factors to restrict the socio-economic development in this area. This study presents a unique high-resolution (1km, 6h) air temperature data set for the Chinese Tianshan Mountains from 1979 to 2016 based on a robust statistical downscaling framework. The coverage of data set is 41.1814-45.9945 °N, 77.3484-96.9989 °E. The grid point is derived from SRTM DEM, which is resampled from 90m to 1km. The total number of grid point is 818126. The time step is 6 hour at 00, 06, 12, and 18 Uhr. The data set was validated by 24 meteorological stations at daily scale. Compared with undownscaled ERA-Interim temperature, the Nash-Sutcliffe efficiency coefficient (NSE) increased from 0.90 to 0.94 over all test sites. Around 24% of root-mean-square error (RMSE) was reduced from 3.75 to 2.85 °C. A skill score based on the probability density function (PDF), which was used to validate the reliability of the new data set for capturing the distributions, enhanced from 0.86 to 0.91 for all test sites. We conclude that the new high-resolution data set is reliable for climate change investigation over the Chinese Tianshan Mountains. This data set would be helpful for the potential users for better local climate monitoring, modelling and environmental studies in the Chinese Tianshan Mountains.
", "ds_time_res": "6小时", "ds_acq_place": "Tianshan Mountains, China", "ds_space_res": "1000m", "ds_projection": "", "ds_process_way": "Analyze and calculate.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "气温", "天山", "高分辨率", "概率密度函数", "重采样" ], "ds_subject_tags": [ "大气科学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国天山" ], "ds_time_tags": [ 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 ], "ds_contributors": [ { "true_name": "高路", "email": "l.gao@foxmail.com", "work_for": "福建师范大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "高路", "email": "l.gao@foxmail.com", "work_for": "福建师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "高路", "email": "l.gao@foxmail.com", "work_for": "福建师范大学", "country": "中国" } ], "category": "水文" }