辐射、热量和CO2通量的基准数据集对陆地-大气相互作用研究至关重要。中国长江三角洲是典型的东亚季风区，由于城市化和农业的快速发展，该地区的陆地-大气相互作用过程变得多样而复杂。为了解各种土地覆被变化对该地区陆地-大气相互作用的影响，我们在长江三角洲地区两种典型地表类型（即耕地和郊区）的四个站点开展了长期（2011-2019年）综合观测活动，包括30分钟分辨率的气象变量（气温、湿度、气压、风速和风向）、地表辐射通量、湍流热通量和CO2通量。数据集分析表明，四个地点的辐射分量、潜热通量、显热通量、土壤热通量和CO2通量都存在季节和昼夜变化。地表辐射通量在四个地点之间存在很大差异。就全年而言，在两个耕地点，净辐射的主要消耗者是潜热通量。与此相反，在郊区的两个地点，潜热在4月至11月期间占主导地位，而在其他月份，显热则占主导地位。我们目前的工作提供令人信服的证据，证明该数据集在多个研究领域具有潜力，包括研究陆地-大气相互作用、改进边界层参数化方案、评估遥感算法、验证碳通量建模和反演，以及为典型的东亚季风区开发气候模型。
", "ds_source": "本研究中的陆气相互作用综合观测数据是在长三角两个耕地区（寿县站和东台站）和两个郊区（徐州站和东山站）的四个试验点采集的，分别称为SX-耕地区、DT-耕地区、XZ-郊区和DS-郊区。
", "ds_process_way": "所有四个观测点都配备了EC系统，用于长期连续监测地表辐射、H、λE 和CO2通量。为了维护仪器和下载EC数据，每两周至每月对每个站点进行一次访问。为了获得高质量的30分钟分辨率的EC数据，进行了以下一系列后处理步骤：\n
\n1. 用数据记录器采样 10 Hz 原始 EC 数据，包括纵向（u）、横向（v）和垂直（w）风速、声波温度（Ts）和水蒸气（H2O）密度，然后用 软件转换成二进制数据。\n
\n2. 使用 LI-COR EddyPro 6.2.1软件计算和校正30分钟的 H、λE 和CO2湍流通量。\n
\n3. 涡度协方差测量的质量控制包括静止性测试、综合湍流特性测试等。
", "ds_quality": "数据质量良好。
", "ds_acq_start_time": "2011-01-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "黄河三角洲，寿县站，东台站，徐州站，东山站", "ds_acq_lon_east": 122.0, "ds_acq_lat_south": 26.0, "ds_acq_lon_west": 114.0, "ds_acq_lat_north": 34.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 56806906, "ds_files_count": 2, "ds_format": ".xlsx", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "a899105b-162d-4c4e-8903-f679ee7ede95.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": "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": "2023-12-27 11:20:50", "last_updated": "2026-05-14 17:19:29", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB4150.2023", "i18n": { "en": { "title": "Baseline dataset of day night and seasonal scale radiation, heat, and carbon dioxide fluxes in typical monsoon regions of East Asia (2011-2019)", "ds_format": ".xlsx", "ds_source": "The comprehensive observation data of land atmosphere interaction in this study were collected at four experimental points in two cultivated areas (Shouxian Station and Dongtai Station) and two suburban areas (Xuzhou Station and Dongshan Station) in the Yangtze River Delta, namely SX cultivated area, DT cultivated area, XZ suburban area, and DS suburban area.
", "ds_quality": "The data quality is good.
", "ds_ref_way": "", "ds_abstract": "A benchmark dataset for radiation, heat, and CO2 fluxes is crucial for studying land atmosphere interactions. The Yangtze River Delta in China is a typical East Asian monsoon region, where land atmosphere interactions have become diverse and complex due to rapid urbanization and agricultural development. To understand the impact of various land cover changes on land atmosphere interactions in the Yangtze River Delta region, we conducted long-term (2011-2019) comprehensive observation activities at four sites of two typical surface types (cultivated land and suburban areas), including 30 minute resolution meteorological variables (temperature, humidity, pressure, wind speed, and direction), surface radiation flux, turbulent heat flux, and CO2flux. Dataset analysis shows that the radiation components, latent heat flux, sensible heat flux, soil heat flux, and CO2flux at the four locations exhibit seasonal and diurnal variations. There are significant differences in surface radiation flux among the four locations. For the whole year, the main consumer of net radiation in two farming sites is latent heat flux. On the contrary, in two locations in the suburbs, latent heat dominates from April to November, while sensible heat dominates in other months. Our current work provides convincing evidence that this dataset has potential in multiple research areas, including studying land atmosphere interactions, improving boundary layer parameterization schemes, evaluating remote sensing algorithms, validating carbon flux modeling and inversion, and developing climate models for typical East Asian monsoon regions.
", "ds_time_res": "", "ds_acq_place": "Yellow River Delta, Shouxian Station, Dongtai Station, Xuzhou Station, Dongshan Station", "ds_space_res": "", "ds_projection": "", "ds_process_way": "All four observation points are equipped with EC systems for long-term continuous monitoring of surface radiation, H, λ E, and CO2fluxes. To maintain the instruments and download EC data, visit each site every two weeks to every month. In order to obtain high-quality 30 minute resolution EC data, a series of post-processing steps were carried out as follows:\r\n
\r\n1. Use a data logger to sample 10 Hz raw EC data, including longitudinal (u), transverse (v), and vertical (w) wind speeds, acoustic temperature (Ts), and water vapor (H2O) density, and then convert it into binary data using software.\r\n
\r\n2. Use LI-COR EddyPro 6.2.1 software to calculate and calibrate the turbulent fluxes of H, λ E, and CO2for 30 minutes.\r\n
\r\nThe quality control of vorticity covariance measurement includes static testing, comprehensive turbulence characteristic testing, etc.
", "ds_ref_instruction": "When using data, users should clearly declare the source of the data in the main text and cite the citation method provided by this metadata in the reference section." } }, "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": [ "二氧化碳通量", "长江三角洲", "东亚季风区", "地表辐射通量", "湍流热通量" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "长江三角洲", "寿县站", "东台站", "徐州站", "东山站" ], "ds_time_tags": [ 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 ], "ds_contributors": [ { "true_name": "高志球", "email": "zgao@mail.iap.ac.cn", "work_for": "南京信息工程大学", "country": "中国" }, { "true_name": "杨元建", "email": "yyj1985@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "杨元建", "email": "yyj1985@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" } ], "ds_managers": [ { "true_name": "杨元建", "email": "yyj1985@nuist.edu.cn", "work_for": "南京信息工程大学", "country": "中国" } ], "category": "生态" }