Back to Search Start Over

Biases in open-path carbon dioxide flux measurements: Roles of instrument surface heat exchange and analyzer temperature sensitivity.

Authors :
Deventer, M Julian
Roman, Tyler
Bogoev, Ivan
Kolka, Randall K.
Erickson, Matt
Lee, Xuhui
Baker, John M.
Millet, Dylan B.
Griffis, Timothy J.
Source :
Agricultural & Forest Meteorology. Jan2021, Vol. 296, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

Eddy covariance (EC) measurements of ecosystem-atmosphere carbon dioxide (CO 2) exchange provide the most direct assessment of the terrestrial carbon cycle. Measurement biases for open-path (OP) CO 2 concentration and flux measurements have been reported for over 30 years, but their origin and appropriate correction approach remain unresolved. Here, we quantify the impacts of OP biases on carbon and radiative forcing budgets for a sub-boreal wetland. Comparison with a reference closed-path (CP) system indicates that a systematic OP flux bias (0.54 μ mol m − 2 s − 1 ) persists for all seasons leading to a 110% overestimate of the ecosystem CO 2 sink (cumulative error of 78 gC m−2). Two potential OP bias sources are considered: Sensor-path heat exchange (SPHE) and analyzer temperature sensitivity. We examined potential OP correction approaches including: i) Fast temperature measurements within the measurement path and sensor surfaces; ii) Previously published parameterizations; and iii) Optimization algorithms. The measurements revealed year-round average temperature and heat flux gradients of 2.9 °C and 16 W m−2 between the bottom sensor surfaces and atmosphere, indicating SPHE-induced OP bias. However, measured SPHE correlated poorly with the observed differences between OP and CP CO 2 fluxes. While previously proposed nominally universal corrections for SPHE reduced the cumulative OP bias, they led to either systematic under-correction (by 38.1 gC m−2) or to systematic over-correction (by 17-37 gC m−2). The resulting budget errors exceeded CP random uncertainty and change the sign of the overall carbon and radiative forcing budgets. Analysis of OP calibration residuals as a function of temperature revealed a sensitivity of 5 μ mol m − 3 K − 1 . This temperature sensitivity causes CO 2 calibration errors proportional to sample air fluctuations that can offset the observed growing season flux bias by 50%. Consequently, we call for a new OP correction framework that characterizes SPHE- and temperature-induced CO 2 measurement errors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01681923
Volume :
296
Database :
Academic Search Index
Journal :
Agricultural & Forest Meteorology
Publication Type :
Academic Journal
Accession number :
147316587
Full Text :
https://doi.org/10.1016/j.agrformet.2020.108216