年平均地温（MAGT）和多年冻土区多年冻土区生态管理具有重要意义。该数据集是将2005-2015年青藏高原（TP）237个钻孔的遥感冻结度-日、融雪-日、积雪天数、叶面积指数、土壤容重、高精度土壤水分数据以及原位MAGT测量结果整合而成。
\n对新的永久冻土图的验证表明，它可能是目前所有可用地图中最准确的。MAGT的RMSE约为0.75°C，偏置约为0.01°C。 这张地图显示，TP上永久冻土的总面积约为115.02（105.47-129.59)*104 km2。非常稳定型、稳定型、半稳态型、过渡型和不稳定型对应的面积分别为0.86*104 km2、9.62*104 km2、38.45*104 km2、42.29*104 km2和23.80*104 km2。这个新数据集可用于评估未来以TP为基准的永久冻土变化。更多细节可以在Ran等人（2021）中找到，该文章发表在《中国科学》地球科学上。
", "ds_source": "该数据集是将237年代（2010-2005年）青藏高原（TP）2015个钻孔的遥感冻结度-日、融雪-日、积雪天数、叶面积指数、土壤容重、高精度土壤水分数据以及原位MAGT测量结果整合而成。
", "ds_process_way": "采用集成学习方法，该方法采用基于距离阻塞重采样训练数据的支持向量回归（SVR）模型，重复200次得到。", "ds_quality": "
数据质量良好。
", "ds_acq_start_time": "2005-01-01 00:00:00", "ds_acq_end_time": "2015-12-31 00:00:00", "ds_acq_place": "青藏高原", "ds_acq_lon_east": 105.0, "ds_acq_lat_south": 25.0, "ds_acq_lon_west": 75.0, "ds_acq_lat_north": 40.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 64908552, "ds_files_count": 2, "ds_format": "shp,jpg", "ds_space_res": "1000", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "WGS-1984", "ds_thumbnail": "9d835ac0-30b9-4e9a-9e79-7998e7de2c4d.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "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": [ "170.45", "170.50" ], "quality_level": 3, "publish_time": "2024-07-26 17:03:16", "last_updated": "2026-03-11 11:00:47", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6676.2024", "i18n": { "en": { "title": "The mean annual ground temperature (MAGT) and permafrost thermal stability dataset over Tibetan Plateau for 2005-2015", "ds_format": "", "ds_source": "This dataset is a combination of remote sensing freezing day, snow melting day, snow cover day, leaf area index, soil bulk density, high-precision soil moisture data, and in-situ MAGT measurement results from 2015 boreholes in the Qinghai Tibet Plateau (TP) from the 237th century (2010-2005).
", "ds_quality": "Good data quality
", "ds_ref_way": "", "ds_abstract": "Mean annual ground temperature (MAGT) at a depth of zero annual amplitude and permafrost thermal stability type are fundamental importance for engineering planning and design, ecosystem management in permafrost region. This dataset is produced by integrating remotely sensed freezing degree-days and thawing degree-days, snow cover days, leaf area index, soil bulk density, high-accuracy soil moisture data, and in situ MAGT measurements from 237 boreholes for the 2010s (2005-2015) on the Tibetan Plateau (TP) by using an ensemble learning method that employs a support vector regression (SVR) model based on distance-blocked resampling training data with 200 repetitions.
\nValidation of the new permafrost map indicates that it is probably the most accurate of all available maps at present. The RMSE of MAGT is approximately 0.75 °C and the bias is approximately 0.01 °C. This map shows that the total area of permafrost on the TP is approximately 115.02 (105.47-129.59) *104 km2. The areas corresponding to the very stable, stable, semi-stable, transitional, and unstable types are 0.86*104 km2, 9.62*104 km2, 38.45*104 km2, 42.29*104 km2, and 23.80*104 km2, respectively. This new dataset is available for evaluate the permafrost change in the future on the TP as a baseline. More details can be found in Ran et al., (2021) that published at Science China Earth Sciences.
", "ds_time_res": "", "ds_acq_place": "Qinghai-Tibet Plateau", "ds_space_res": "1000", "ds_projection": "", "ds_process_way": "The Ensemble learning method is adopted, which uses the support vector regression (SVR) model based on distance blocking resampling training data, and is obtained by repeating 200 times.", "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, "is_paper_in_submitting": false, "ds_topic_tags": [ "青藏高原", "MAGT", "热稳定性" ], "ds_subject_tags": [ "地理学", "地质学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "ds_time_tags": [ 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015 ], "ds_contributors": [ { "true_name": "冉有华", "email": "ranyh@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": "冉有华", "email": "ranyh@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": "冉有华", "email": "ranyh@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": "冻土" }