Assessing the Accuracy of Eddy‐Covariance Measurement at Different Source Emission Scenarios

Author:

Liu Shuo123,Feng Zhaozhong4ORCID,Fang Shuangxi23,Liu Gang5,Yuan Xiangyang4,Shang Bo4,Xu Yansen4,Fu Haiwang23,Jin Zeping2,Chen Ziyi2,Xiao Wei4ORCID

Affiliation:

1. Key Laboratory of Meteorological Disaster Ministry of Education (KLME) Nanjing University of Information Science & Technology Nanjing China

2. Zhejiang Carbon Neutral Innovation Institute & Zhejiang International Cooperation Base for Science and Technology on Carbon Emission Reduction and Monitoring Zhejiang University of Technology Hangzhou China

3. Shaoxing Research Institute Zhejiang University of Technology Shaoxing China

4. Key Laboratory of Agrometeorology of Jiangsu Province School of Ecology and Applied Meteorology Nanjing University of Information Science & Technology Nanjing China

5. State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil Science Chinese Academy of Sciences Nanjing China

Abstract

AbstractThe eddy‐covariance (EC) method assumes a homogeneous underlying surface. However, recent studies increasingly examining on EC measurements across diverse surfaces, raising concerns about measurement precision and accuracy. This study evaluates the impacts of altering the emission height and rate on the EC measurements through utilizing an artificial source emission system. The results demonstrated a significant impact of changes in the emission height and rate on the EC measurements. Higher emission height may lead to the underestimation of the measured EC fluxes, attributed to the variations in the footprint area and turbulent transport. Traditional data quality control methods may discard effective EC data during sudden changes in the emission rate. Therefore, to secure effective data and accurately observe emissions, it was practical to analyze the auxiliary factors, such as environmental factors, such as vapor pressure deficit (VPD). An unresolved issue would persist with the correction of the EC method for accurately capturing the actual emission signals when there was a sudden increase in the data range or deviation. Furthermore, comparing the footprint model estimations with the actual emissions demonstrated the necessity of footprint analyses, offering a valuable reference for the data calibration when the uncertainties arose owing to inhomogeneous underlying surfaces. Although EC fluxes across the three averaging periods indicated no significant differences, the footprint model suggested that 15‐min interval was the optimal. Further validation experiments are required for the EC measurements in locations with complex source conditions to enhance our understanding of land‐atmosphere flux exchange.

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

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