A CO2 and H2O Gas Analyzer with Reduced Error due to Platform Motion

Author:

Vandemark Douglas1,Emond Marc1,Miller Scott D.2,Shellito Shawn1,Bogoev Ivan3,Covert Jason M.2

Affiliation:

1. a Ocean Process Analysis Laboratory, University of New Hampshire, Durham, New Hampshire

2. b University at Albany, State University of New York, Albany, New York

3. c Campbell Scientific, Inc., Salt Lake City, Utah

Abstract

Abstract One long-standing technical problem affecting the accuracy of eddy correlation air–sea CO2 flux estimates has been motion contamination of the CO2 mixing-ratio measurement. This sensor-related problem is well known but its source remains unresolved. This report details an attempt to identify and reduce motion-induced error and to improve the infrared gas analyzer (IRGA) design. The key finding is that a large fraction of the motion sensitivity is associated with the detection approach common to most closed- and open-path IRGA employed today for CO2 and H2O measurements. A new prototype sensor was developed to both investigate and remedy the issue. Results in laboratory and deep-water tank tests show marked improvement. The prototype shows a factor of 4–10 reduction in CO2 error under typical at-sea buoy pitch and roll tilts in comparison with an off-the-shelf IRGA system. A similar noise reduction factor of 2–8 is observed in water vapor measurements. The range of platform tilt motion testing also helps to document motion-induced error characteristics of standard analyzers. Study implications are discussed including findings relevant to past field measurements and the promise for improved future flux measurements using similarly modified IRGA on moving ocean observing and aircraft platforms.

Publisher

American Meteorological Society

Subject

Atmospheric Science,Ocean Engineering

Reference16 articles.

1. Advances in air–sea CO2 flux measurement by eddy correlation;Blomquist, B. W.,2014

2. Automated underway eddy covariance system for air–sea momentum, heat, and CO2 fluxes in the Southern Ocean;Butterworth, B. J.,2016

3. Direct covariance flux estimates from mobile platforms at sea;Edson, J. B.,1998

4. Direct covariance measurement of CO2 gas transfer velocity during the 2008 Southern Ocean Gas Exchange Experiment: Wind speed dependency;Edson, J. B.,2011

5. Parameterization and micrometeorological measurement of air–sea gas transfer;Fairall, C. W.,2000

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