Hupsel de Azevedo, Gustavo BrittoDoyle, BillFiebrich, Christopher A.Schvartzman, David2022-12-212022-12-212022-10-06Britto 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.https://shareok.org/handle/11244/336973This 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.Attribution 4.0 InternationalArticle10.5194/amt-15-5599-2022