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2013–2020年海河流域农田水热碳通量及气象要素观测数据集

A dataset of water vapor-heat-carbon fluxes and meteorological observations in croplands of Hai River Basin from 2013 to 2020

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【作者】 徐自为刘绍民肖青柏军华朱忠礼

【Author】 XU Ziwei;LIU Shaomin;XIAO Qing;BAI Junhua;ZHU Zhongli;State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University;State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences;

【通讯作者】 刘绍民;

【机构】 北京师范大学地表过程与资源生态国家重点实验室地理科学学部中国科学院空天信息创新研究院遥感国家重点实验室

【摘要】 本研究以海河流域官厅水库旁农田生态系统为研究对象,采用蒸渗仪、涡动相关仪、大孔径闪烁仪和自动气象站/气象要素梯度等观测系统,开展农田生态系统多尺度通量和气象要素的长期定位观测。本数据集由多尺度通量(米,百米,公里级)和气象要素数据组成,观测项目包括生态系统净碳交换量、潜热通量/蒸散发、感热通量、空气温度、空气相对湿度、风速、风向、向下/上短波辐射、向下/上长波辐射、净辐射、大气压、降水、红外辐射温度、光合有效辐射、土壤温度、土壤水分、土壤热通量、平均土壤温度等。本数据集经过了严格的处理和质量控制,可用于研究水库消涨对周边生态系统碳水等物质和能量的循环带来的影响,也可为相关遥感模型或过程模型等研究提供有力的数据基础。

【Abstract】 The present study area was located in the cropland ecosystem near Guanting Reservoir in Haihe River Basin. We conducted long-term observations of the multi-scale fluxes and meteorological elements,using various observation systems, including lysimeter, eddy covariance, large aperture scintillometer and automatic weather station/gradient of meteorological elements. This dataset consists of multi-scale fluxes(meter, hundred-meter, and kilometer-meter) and meteorological elements data. Observation items include ecosystem net carbon exchange, latent heat flux/evapotranspiration, sensible heat flux, air temperature,relative humidity, wind speed, wind direction, downward/upward shortwave radiation, downward/upward longwave radiation, net radiation, atmospheric pressure, precipitation, infrared radiation temperature,photosynthetic effective radiation, soil temperature, soil moisture, soil heat flux, and average soil temperature, etc. This dataset is processed carefully and can be used to study the effects of reservoirexpansion and shrinkage on the circulation of carbon and water or other substances in the surrounding ecosystem. Additionally, it can serve as a powerful data basis for the research on relevant remote sensing estimation and model simulation.

【基金】 国家自然科学基金(41531174、42171461)~~
  • 【文献出处】 中国科学数据(中英文网络版) ,China Scientific Data , 编辑部邮箱 ,2024年01期
  • 【分类号】S16
  • 【下载频次】9
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