CINet Goose Creek Tower: raw and corrected eddy covariance, met, soil data

This data contains eddy covariance, soil, and meteorological data collected from the Goose Creek Tower site in central IL from 2016-2024. A 25m tower was installed April 2016 with 15 min measurements, and it was supplemented by a 10m height eddy covariance instrument in August 2021. The \"25m\" files contain the main tower data (eddy covariance at 25m, soil moisture and temperature, solar radiation and other meteorological variables), and the \"10m\" is the newer instrument at 30 min resolution. The \"raw\" files obtained directly from the sensors are provided, with a nomenclature document describing several hundred variable names. We also processed this data using ReddyProc R package (https://cran.r-project.org/web/packages/REddyProc/index.html) for carbon flux partitioning estimates at 30 min resolution, and applied the flux-data-qaqc python package (https://flux-data-qaqc.readthedocs.io/en/latest/) for daily energy balance corrections. We also provide a solar radiation corrected file, due to some sensor errors in incoming and outgoing radiation, and note that some NDVI and PRI (vegetation indices) values contain errors that are not corrected from the raw data. Please see the Readme file for short descriptions of each file type.

本数据集涵盖2016年至2024年间于美国伊利诺伊州中部古斯里溪塔站（Goose Creek Tower site）采集的涡度相关（eddy covariance）、土壤及气象观测数据。2016年4月架设了一座高度25米的观测塔，采集分辨率为15分钟的观测数据；2021年8月，该站点新增了一套10米高度的涡度相关观测仪器。其中，“25m”系列文件包含主塔的核心观测数据：25米高度的涡度相关数据、土壤湿度与温度、太阳辐射及其他气象变量；“10m”系列文件则为新增仪器的观测数据，分辨率为30分钟。本数据集同时提供了传感器直接导出的原始“raw”文件，并附带一份命名规范文档，对数百个变量名称进行说明。研究团队使用ReddyProc R包（https://cran.r-project.org/web/packages/REddyProc/index.html）对数据进行处理，实现了30分钟分辨率的碳通量分区估算；并借助flux-data-qaqc Python包（https://flux-data-qaqc.readthedocs.io/en/latest/）完成了每日能量平衡校正。鉴于入射与出射辐射传感器存在误差，团队还提供了太阳辐射校正后的数据集；需注意的是，部分归一化差异植被指数（NDVI, Normalized Difference Vegetation Index）与光化学反射指数（PRI, Photochemical Reflectance Index）的原始数据未进行误差校正。请参阅README文件以获取各文件类型的简要说明。