本数据集包含基于三种不同湿地分布图的北方湿地（北纬 45°以北）甲烷（CH₄）排放量、排放不确定性数据及潜在通量强度数据。该数据集是基于数据驱动的尺度提升产品，采用北方涡度相关甲烷通量观测站点数据与随机森林机器学习算法构建而成，提供了2016—2022年分辨率10千米的北方湿地逐日甲烷通量数据，可用于区域甲烷收支研究及湿地对气候变化的响应研究。数据产品以netCDF格式（.nc 文件）提供，文件属性中包含更多详细信息。", "ds_source": "
数据来源于Zenodo网站（https://zenodo.org/records/13893089）。", "ds_process_way": "
采用北方涡度相关甲烷通量观测站点数据与随机森林机器学习算法构建而成。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2016-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "北方湿地", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 47415557501, "ds_files_count": 9, "ds_format": "netCDF", "ds_space_res": "10km", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "c69ab72e-122a-485d-b9d9-f82f0cf343bd.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.1515" ], "quality_level": 3, "publish_time": "2025-12-29 10:19:33", "last_updated": "2026-01-14 11:11:04", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB7049.2025", "i18n": { "en": { "title": "WetCH4: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022", "ds_format": "netCDF", "ds_source": "
Data sourced from Zenodo website（ https://zenodo.org/records/13893089 ）.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
This dataset (WetCH4) contains methane (CH4) emissions using three different wetland maps, their uncertainties, and underlying flux intensities from northern wetlands (>45° N). The dataset is a data-driven upscaling product using observations from northern eddy covariance CH4 flux sites and random forest machine learning. WetCH4 provides daily CH4 fluxes of northern wetlands at 10-km resolution from 2016 to 2022 and can be used to study regional CH4 budgets and wetland responses to climate change. The data products are provided in netCDF format files (.nc) with more details in the attributes of the files.
", "ds_time_res": "日", "ds_acq_place": "Northern wetlands", "ds_space_res": "10km", "ds_projection": "", "ds_process_way": "Constructed using data from northern vorticity related methane flux observation stations and random forest machine learning algorithms.", "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_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "ds_topic_tags": [ "北方湿地", "甲烷通量", "机器学习" ], "ds_subject_tags": [ "大气化学" ], "ds_class_tags": [], "ds_locus_tags": [ "北方湿地" ], "ds_time_tags": [ 2016, 2017, 2018, 2019, 2020, 2021, 2022 ], "ds_contributors": [ { "true_name": "Qing Ying", "email": "qying@umd.edu", "work_for": "马里兰大学帕克分校地球系统科学交叉研究中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "Qing Ying", "email": "qying@umd.edu", "work_for": "马里兰大学帕克分校地球系统科学交叉研究中心", "country": "中国" } ], "ds_managers": [ { "true_name": "Qing Ying", "email": "qying@umd.edu", "work_for": "马里兰大学帕克分校地球系统科学交叉研究中心", "country": "中国" } ], "category": "大气本底" }