气候变暖正加速多年冻土有机碳分解，尤其是在冬季时期。然而由于缺乏高质量与网格化的冬季CO₂排放时序数据，目前对北半球多年冻土区冬季CO₂排放的评估存在较大的不确定性。本研究构建了北半球多年冻土区1982-2022年0.1°空间分辨率的冬季CO₂通量数据集。该数据集整合了2487个月度冬季CO₂通量观测数据和多源地理空间数据，包括气候、植被、积雪、土壤及多年冻土，基于极端随机树模型对北极和青藏高原分别建模升尺度冬季CO₂通量生成。验证结果表明模型性能良好，在北极多年冻土区的R²为0.67，MAE和RMSE分别为3.94 g C m⁻² month⁻¹与5.67 g C m⁻² month⁻¹，而在青藏高原的R²为0.82，MAE和RMSE分别为2.76 g C m⁻² month⁻¹与3.76 g C m⁻² month⁻¹。该数据可为多年冻土区生态系统碳循环研究提供基础数据支持。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": 27.07, "ds_acq_lon_west": -180.0, "ds_acq_lat_north": 83.67, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 334928273, "ds_files_count": 0, "ds_format": "*.tif", "ds_space_res": "0.1°", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "8414b6e3-51a1-40fb-931b-3dc10041ae47.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170.45", "170.4510" ], "quality_level": 0, "publish_time": "2026-06-01 09:54:05", "last_updated": "2026-06-01 10:02:58", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.permafrost.db7432.2026", "i18n": { "en": { "title": "A dataset of winter CO₂ emissions in the Northern Hemisphere permafrost regions from 1982 to 2022", "ds_format": "*.tif", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
Global warming is accelerating the decomposition of organic carbon stored in permafrost regions, particularly during winter when photosynthesis ceases. However, due to the lack of high-quality and gridded time-series data on winter CO₂ fluxes, substantial uncertainty remains in assessing winter CO₂ emissions across the Northern Hemisphere permafrost regions. This study constructed a dataset of winter CO₂ flux at a spatial resolution of 0.1° for Northern Hemisphere permafrost regions from 1982 to 2022. The dataset integrates 2,487 monthly winter CO₂ flux observations with multi-source geospatial data, including climate, vegetation, snow cover, soil properties, and permafrost characteristics. Winter CO₂ fluxes were upscaled separately for the Arctic and the Tibetan Plateau using an Extremely Randomized Trees model. Validation results indicate excellent model performance, with an R² of 0.67, an MAE of 3.94 g C m⁻² month⁻¹, and an RMSE of 5.67 g C m⁻² month⁻¹ for the Arctic permafrost region; and an R² of 0.82, an MAE of 2.76 g C m⁻² month⁻¹, and an RMSE of 3.76 g C m⁻² month⁻¹ for the Tibetan Plateau. This dataset provides fundamental support for research on carbon cycling in permafrost ecosystems.", "ds_time_res": "", "ds_acq_place": "", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "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, "belong_to_nieer": false, "ds_topic_tags": [ "北极", "青藏高原", "多年冻土", "气候变化", "冬季CO₂排放" ], "ds_subject_tags": [ "地理学", "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "北半球", "北极", "青藏高原", "多年冻土区" ], "ds_time_tags": [ 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, 2021, 2022 ], "ds_contributors": [ { "true_name": "牟翠翠", "email": "mucc@lzu.edu.cn", "work_for": "兰州大学资源环境学院西部环境教育部重点实验室", "country": "中国" }, { "true_name": "魏玉国", "email": "weiyg2024@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "牟翠翠", "email": "mucc@lzu.edu.cn", "work_for": "兰州大学资源环境学院西部环境教育部重点实验室", "country": "中国" }, { "true_name": "魏玉国", "email": "weiyg2024@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_managers": [ { "true_name": "牟翠翠", "email": "mucc@lzu.edu.cn", "work_for": "兰州大学资源环境学院西部环境教育部重点实验室", "country": "中国" } ], "category": "冻土" }