Daily fluxes dataset of the typical irrigated agro-ecosystem in the North China Plain: A Case Study of Luancheng Station (2007 – 2013)

Based on micrometeorology; the Eddy Covariance System (EC) has become one of the standard observation methods for the exchange of CO2 and water heat flux between terrestrial ecosystems and the atmosphere. The dataset includes all the fluxes data accumulated in Luancheng Agro-ecosystem Experimental Station of the Chinese Academy of Sciences from the EC System; which spans from October 2007 to September 2013 and covers 6 consecutive crop growth years. And the fluxes consist of evapotranspiration (ET); precipitation (P); net radiation (Rn); sensible heat Flux (Hs) and net ecosystem exchange of CO2 (NEE). The observation object is winter wheat-summer maize rotation cropping system. It can represent the general crop growth system in the North China Plain (NCP). The network observation; quality control and storage process of this dataset strictly abide by ChinaFLUX data management technology system to make sure the reliability. The EC flux data provide important support for the study of crop field water balance and typical cropping system adjustment in the North China Plain; the mechanism of ecosystem carbon-water coupling cycles and crop growth model simulation.

基于微气象学原理，涡度协方差系统（EC）已成为陆地生态系统与大气之间二氧化碳和水热通量交换的标准观测方法之一。本数据集囊括了中国科学院遥感与数字地球研究所卢氏农业生态系统实验站自涡度协方差系统收集的所有通量数据，时间跨度为2007年10月至2013年9月，涵盖连续6个作物生长季。通量数据包括蒸散量（ET）、降水量（P）、净辐射（Rn）、感热通量（Hs）以及净生态系统碳交换量（NEE）。观测对象为冬小麦-夏玉米轮作种植系统，该系统能够代表华北平原（NCP）的典型作物生长体系。本数据集的网络观测、质量控制与存储过程严格遵守中国FLUX数据管理系统，以确保数据的可靠性。涡度协方差系统的通量数据为研究华北平原作物田间水分平衡和典型种植系统调整提供了重要支撑，有助于揭示生态系统碳-水耦合循环机制以及作物生长模型模拟。