Cite
New sampling strategy mitigates a solar-geometry-induced bias in sub-kilometre vapour scaling statistics derived from imaging spectroscopy.
MLA
Richardson, Mark T., et al. “New Sampling Strategy Mitigates a Solar-Geometry-Induced Bias in Sub-Kilometre Vapour Scaling Statistics Derived from Imaging Spectroscopy.” Atmospheric Measurement Techniques, vol. 15, no. 1, Jan. 2022, pp. 117–29. EBSCOhost, https://doi.org/10.5194/amt-15-117-2022.
APA
Richardson, M. T., Thompson, D. R., Kurowski, M. J., & Lebsock, M. D. (2022). New sampling strategy mitigates a solar-geometry-induced bias in sub-kilometre vapour scaling statistics derived from imaging spectroscopy. Atmospheric Measurement Techniques, 15(1), 117–129. https://doi.org/10.5194/amt-15-117-2022
Chicago
Richardson, Mark T., David R. Thompson, Marcin J. Kurowski, and Matthew D. Lebsock. 2022. “New Sampling Strategy Mitigates a Solar-Geometry-Induced Bias in Sub-Kilometre Vapour Scaling Statistics Derived from Imaging Spectroscopy.” Atmospheric Measurement Techniques 15 (1): 117–29. doi:10.5194/amt-15-117-2022.