申扎高寒湿地碳通量数据集（2016-2019）

（1）本数据集是申扎高寒湿地2016-2019年的碳通量数据集，包含空气温度、土壤温度、降水、生态系统生产力等参数。（2）该数据集以野外涡度相关实测数据为基础，采用国际上公认的涡度相关数据标准处理方法，基本流程包括：野点剔除-坐标旋转-WPL校正-储存项计算-降水同期数据剔除-阈值剔除-异常值剔除-u*校正-缺失数据插值-通量分解与统计。本数据集还包含了基于涡度相关数据集标定后的模型模拟数据。（3）该数据集已经过数据质量控制，数据缺失率为37.3%，缺失数据已采用插值方式补充。（4）该数据集对认识高寒湿地碳汇功能具有科学价值，也可以用于机理模型的矫正和验证等。

(1) This dataset is a carbon flux dataset of the Shenzha alpine wetland from 2016 to 2019, including parameters such as air temperature, soil temperature, precipitation, ecosystem productivity and others. (2) This dataset is developed based on field-measured eddy covariance data, adopting internationally recognized standard processing methods for eddy covariance data. Its basic workflow includes: spike removal, coordinate rotation, WPL correction, storage term calculation, removal of data during concurrent precipitation periods, threshold filtering, outlier elimination, u* correction, missing data interpolation, flux partitioning and statistical analysis. Additionally, this dataset also includes model simulation data calibrated against the eddy covariance dataset. (3) This dataset has undergone strict data quality control, with a data missing rate of 37.3%, and the missing data have been supplemented via interpolation. (4) This dataset has scientific value for understanding the carbon sink function of alpine wetlands, and can also be used for calibration and validation of mechanistic models and other relevant research.

搜集汇总

背景与挑战

背景概述

该数据集为2016-2019年申扎高寒湿地的碳通量数据，包含多种环境参数，采用国际标准处理方法，数据缺失率37.3%并已插值补充，适用于高寒湿地碳汇功能研究和模型验证。