该产品提供 1993 年至 2021 年空间分辨率为 0.25°的月度 ρCO2 数据，可用于研究 ρCO2 的区域空间差异、季节周期和十年变化。基于观测数据的重构是以表面海洋二氧化碳图集（SOCAT）观测数据为观测值，以已知控制海面 ρCO2 的各种卫星衍生和再分析环境变量为模型输入进行训练的。该产品在模型训练、验证和独立测试阶段都表现出很高的精度，证明了其稳健性和在缺乏直接观测数据的地区或时期准确重建 ρCO2 的能力。与 SOCAT 的所有观测样本相比，ρCO2 产品的确定系数为 0.92，均方根误差为 12.70 µatm，累计不确定性为 23.25 µatm。ReCAD-NAACOM-pCO2产品展示了其解析NAACOM沿岸ρCO2季节周期、区域尺度变化和十年趋势的能力。这一新产品为更精确地研究北大西洋沿岸碳动力学提供了可靠的 ρCO2 数据。", "ds_source": "
SOCAT 数据库（2023 年版）： CO 在海水中的逸度的测量值 (fCO2）。", "ds_process_way": "
1.模型设计\n
2.模型训练\n
3.模型评估\n
4.重建 ρCO2 的不确定性\n
5.与全球重建 ρCO2 产物的比较", "ds_quality": "
该数据集计算出的大西洋边缘地区的不确定性与 Sharp 等人（2022 年）报告的北美太平洋边缘 100 公里以内地区的 43.4 µatm 不相上下，表明数据产品性能良好。", "ds_acq_start_time": "1993-01-01 00:00:00", "ds_acq_end_time": "2021-12-31 00:00:00", "ds_acq_place": "北美大西洋沿岸", "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": 955486384, "ds_files_count": 2, "ds_format": "nc", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "7caa6998-cb0a-4eef-b6a7-fb6a0600eab5.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": [ "170.45" ], "quality_level": 3, "publish_time": "2025-02-27 15:44:24", "last_updated": "2026-01-14 10:32:43", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6760.2025", "i18n": { "en": { "title": "Reconstruction of Coastal Acidification Database (ReCAD) along the North American Atlantic Coast Ocean Edge - ρ CO2 Data Product (1993-2021)", "ds_format": "nc", "ds_source": "
SOCAT database (2023 edition): Measurement of fugacity of CO in seawater (fCO2).", "ds_quality": "
The uncertainty of the Atlantic edge region calculated by this dataset is comparable to the 43.4 µ atm reported by Sharp et al. (2022) within 100 kilometers of the North American Pacific edge, indicating good performance of the data product.", "ds_ref_way": "", "ds_abstract": "
This product provides monthly ρ CO2data with a spatial resolution of 0.25 ° from 1993 to 2021, which can be used to study regional spatial differences, seasonal cycles, and ten-year variations of ρ CO2. The reconstruction based on observation data is trained using surface ocean carbon dioxide atlas (SOCAT) observation data as observation values and various satellite derived and reanalyzed environmental variables known to control sea surface ρ CO2as model inputs. This product has demonstrated high accuracy in model training, validation, and independent testing stages, demonstrating its robustness and ability to accurately reconstruct ρ CO2in areas or periods lacking direct observational data. Compared with all observed samples of SOCAT, the determination coefficient of the ρ CO2product is 0.92, the root mean square error is 12.70 µ atm, and the cumulative uncertainty is 23.25 µ atm. The ReCAD-NAACOM pCO2 product demonstrated its ability to analyze the seasonal cycles, regional scale variations, and ten-year trends of NAACOM coastal ρ CO2. This new product provides reliable ρ CO2data for more accurate research on carbon dynamics along the North Atlantic coast.
", "ds_time_res": "年", "ds_acq_place": "North American Atlantic Coast", "ds_space_res": "", "ds_projection": "", "ds_process_way": "1. Model design\n
2. Model training\n
3. Model evaluation\n
4. Reconstruct the uncertainty of ρ CO2\n
5. Comparison with the products of global reconstruction of ρ CO2", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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": [ "ρCO2", "北美大西洋沿岸", "机器学习" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "北美大西洋沿岸" ], "ds_time_tags": [ 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 ], "ds_contributors": [ { "true_name": "卢文芳", "email": "luwf6@sysu.edu.cn", "work_for": "中山大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "卢文芳", "email": "luwf6@sysu.edu.cn", "work_for": "中山大学", "country": "中国" } ], "ds_managers": [ { "true_name": "卢文芳", "email": "luwf6@sysu.edu.cn", "work_for": "中山大学", "country": "中国" } ], "category": "水文" }