Low-complexity methods to mitigate the impact of environmental variables on low-cost UAS-based atmospheric carbon dioxide measurements

dc.contributor.authorHupsel de Azevedo, Gustavo Britto
dc.contributor.authorDoyle, Bill
dc.contributor.authorFiebrich, Christopher A.
dc.contributor.authorSchvartzman, David
dc.date.accessioned2022-12-21T20:35:45Z
dc.date.available2022-12-21T20:35:45Z
dc.date.issued2022-10-06
dc.description.abstractThis article assesses the individual and joint impact of pressure, temperature, and relative humidity on the accuracy of atmospheric CO2 measurements collected by unmanned aerial systems (UASs) using low-cost commercial non-dispersive infrared (NDIR) sensors. We build upon previous experimental results in the literature and present a new dataset with increased gradients for each environmental variable to match the abrupt changes found in UAS-based atmospheric vertical profiles. As a key contribution, we present a low-complexity correction procedure to mitigate the impact of these variables and reduce errors in this type of atmospheric CO2 measurement. Our findings support the use of low-cost NDIR sensors for UAS-based atmospheric CO2 measurements as a complementary in situ tool for many scientific applications.en_US
dc.description.peerreviewYesen_US
dc.description.peerreviewnotesThis paper was edited by Frank Hase and reviewed by two anonymous referees.en_US
dc.description.sponsorshipThe authors would like to recognize the efforts of David L. Grimsley, the manager of the Oklahoma Mesonet Calibration Laboratory, for his technical support during the Mesonet chamber experiments. The authors would like thank Jamey D. Jacob from the Unmanned Systems Research Institute at the Oklahoma State University for providing the LI-COR LI-820 reference gas analyzer used in the Mesonet chamber experiments. The authors also thank RMSA for the thorough grammatical revisions. This study was supported in part by the Vice President for Research and Partnerships (VPRP) of the University of Oklahoma (OU). Publication was supported by the University of Oklahoma Libraries.en_US
dc.identifier.citationBritto Hupsel de Azevedo, G., Doyle, B., Fiebrich, C. A., and Schvartzman, D.: Low-complexity methods to mitigate the impact of environmental variables on low-cost UAS-based atmospheric carbon dioxide measurements, Atmos. Meas. Tech., 15, 5599–5618, https://doi.org/10.5194/amt-15-5599-2022, 2022.en_US
dc.identifier.doi10.5194/amt-15-5599-2022en_US
dc.identifier.urihttps://shareok.org/handle/11244/336973
dc.languageen_USen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleLow-complexity methods to mitigate the impact of environmental variables on low-cost UAS-based atmospheric carbon dioxide measurementsen_US
dc.typeArticleen_US
ou.groupCollege of Atmospheric and Geographic Sciences::School of Meteorologyen_US

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