本数据集提供2018年1月1日至2024年12月31日全球陆地区域的日尺度柱平均干空气甲烷摩尔分数（XCH4），空间分辨率为0.05°，覆盖范围为60°S-90°N。数据采用两阶段模型框架生成：首先利用Swin-Unet结合多源卫星观测与环境辅助变量重建连续的全球陆地XCH4空间分布；随后利用地基总碳柱观测网络（TCCON）观测数据训练TabM残差校准模型，对第一阶段结果进行系统偏差订正。数据集共包含2,557个单波段GeoTIFF文件，采用WGS 84坐标系统（EPSG:4326），像元类型为float32，XCH4单位为ppb，文件按“YYYY-MM-DD.tif”命名，海洋及固定产品掩膜以外区域设为NoData。每个文件包含6,290,183个有效陆地像元。该数据集可用于全球及区域甲烷时空格局、年际变化、长期趋势、模型比较和气候环境研究。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "2018-01-01 00:00:00", "ds_acq_end_time": "2024-12-31 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": -180.0, "ds_acq_lat_south": -60.0, "ds_acq_lon_west": 180.0, "ds_acq_lat_north": 90.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 34707920319, "ds_files_count": 0, "ds_format": "*tif", "ds_space_res": "0.05度", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "13326b8b-9bbb-4e4e-8b08-ad0454d9c196.JPG", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "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": [ "170.15", "610" ], "quality_level": 0, "publish_time": "2026-07-27 08:47:27", "last_updated": "2026-07-27 08:47:27", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.atmosphere.db7690.2026", "i18n": { "en": { "title": "2018-2024 Annual global land 0.05° daily scale column average dry air methane mole fraction (XCH4) dataset", "ds_format": "*tif", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
This dataset provides the daily scale column average dry air methane mole fraction (XCH4) for the global land area from January 1, 2018 to December 31, 2024, with a spatial resolution of 0.05° and a coverage range of 60°S-90°N. Data were generated using a two-stage model framework: first, Swin-Unet was used to reconstruct the continuous global terrestrial spatial distribution of XCH4 using multi-source satellite observations and environmental auxiliary variables; then, TabM was trained using ground-based Total Carbon Column Observation Network (TCCON) observation data. The residual calibration model was used to correct the system bias of the first-stage results. The dataset contains a total of 2,557 single-band GeoTIFF files, using the WGS84 coordinate system (EPSG:4326), the pixel type is float32, and the XCH4 unit is ppb. The files are named according to \"Y-MM-DD.tif\", and areas outside the mask of marine and fixed products are set to NoData. Each file contains 6,290,183 valid land pixels. This data set can be used for global and regional methane spatio-temporal patterns, interannual changes, long-term trends, model comparisons and climate environment research.", "ds_time_res": "", "ds_acq_place": "global", "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": [ "每日", "无缝", "深度学习", "人工智能", "XCH4", "甲烷" ], "ds_subject_tags": [ "大气科学", "环境科学技术及资源科学技术" ], "ds_class_tags": [], "ds_locus_tags": [ "全球", "陆地" ], "ds_time_tags": [ 2018, 2019, 2020, 2021, 2022, 2023, 2024 ], "ds_contributors": [ { "true_name": "王嘉炜", "email": "wangjiawei@htu.edu.cn", "work_for": "河南师范大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "王嘉炜", "email": "wangjiawei@htu.edu.cn", "work_for": "河南师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "王嘉炜", "email": "wangjiawei@htu.edu.cn", "work_for": "河南师范大学", "country": "中国" } ], "category": "遥感及产品" }