2013–2017年栾城冬小麦–夏玉米农田水热碳通量观测数据集
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http://www.nesdc.org.cn/sdo/detail?id=64e492217e2817429fbc7ae3
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资源简介:
冬小麦–夏玉米农田是华北平原种植面积最大的生态系统类型,其碳水通量观测数据对于理解区域碳水循环过程及其调控机理至关重要。中国科学院栾城农业生态系统试验站(简称栾城站)地处太行山山前平原,是华北平原地下水灌区的典型代表,自2007年10月采用涡度相关技术开展了冬小麦–夏玉米农田水热碳通量观测。本数据集为2013年10月–2017年9月(包括4个完整的冬小麦和夏玉米生育季)栾城站水热碳通量和气象数据,包括半小时、日、生育季和生育年尺度的生态系统潜热通量(或蒸散发)、感热通量、CO2净交换量、太阳辐射、光合有效辐射、空气温/湿度、降水、土壤温度和土壤体积含水量。数据存储和处理严格按照ChinaFLUX标准执行,数据可靠性高。本数据集可为深入理解华北地区农田水热碳交换过程、提高水资源管理以缓解地下水超采等提供数据支撑。
Winter wheat-summer maize croplands are the most prevalent ecosystem type in the North China Plain. Observation data of their water and carbon fluxes are crucial for comprehending regional water-carbon cycling processes and their underlying regulatory mechanisms.
The Luancheng Agro-ecosystem Experimental Station of the Chinese Academy of Sciences (Luancheng Station for short) is located in the piedmont plain of the Taihang Mountains, serving as a typical representative of the groundwater irrigation region in the North China Plain. Since October 2007, the station has conducted observations of water, heat and carbon fluxes in winter wheat-summer maize croplands using the eddy covariance technique.
This dataset provides water, heat and carbon flux data as well as meteorological data from Luancheng Station during October 2013 to September 2017, covering four complete growth cycles of winter wheat and summer maize. The dataset includes ecosystem latent heat flux (or evapotranspiration), sensible heat flux, net ecosystem CO2 exchange, solar radiation, photosynthetically active radiation, air temperature and humidity, precipitation, soil temperature and soil volumetric water content at half-hourly, daily, growth season and annual scales.
All data storage and processing procedures strictly comply with the ChinaFLUX standards, resulting in high data reliability. This dataset can offer data support for in-depth understanding of farmland water-heat-carbon exchange processes in North China, optimizing water resource management to mitigate groundwater overexploitation and other relevant environmental issues.
创建时间:
2023-06-23
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含2013–2017年栾城冬小麦–夏玉米农田的水热碳通量和气象观测数据,涵盖潜热通量、感热通量、CO2净交换量等多个指标,数据可靠性高,适用于研究华北地区农田水热碳交换过程及水资源管理。
以上内容由遇见数据集搜集并总结生成



