Articles | Volume 17, issue 16
https://doi.org/10.5194/amt-17-4825-2024
https://doi.org/10.5194/amt-17-4825-2024
Research article
 | 
23 Aug 2024
Research article |  | 23 Aug 2024

Simulation and detection efficiency analysis for measurements of polar mesospheric clouds using a spaceborne wide-field-of-view ultraviolet imager

Ke Ren, Haiyang Gao, Shuqi Niu, Shaoyang Sun, Leilei Kou, Yanqing Xie, Liguo Zhang, and Lingbing Bu

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Cited articles

Baumgarten, G., Fricke, K. H., and Cossart, G. V.: Investigation of the shape of noctilucent cloud particles by polarization lidar technique, Geophys. Res. Lett., 29, 8-1–8-4, https://doi.org/10.1029/2001GL013877, 2002. 
Bailey, S. M., Thomas, G. E., Hervig, M. E., Lumpe, J. D., Randall, C. E., Carstens, J. N., Thurairajah, B., Rusch, D. W., Russell, J. M., and Gordley, L. L.: Comparing nadir and limb observations of polar mesospheric clouds: The effect of the assumed particle size distribution, J. Atmos. Sol.-Terr. Phy., 127, 51–65, https://doi.org/10.1016/j.jastp.2015.02.007, 2015. 
Bardeen, C. G., Toon, O. B., Jensen, E. J., Hervig, M. E., Randall, C. E., Benze, S., Marsh, D. R., and Merkel, A.: Numerical simulations of the three-dimensional distribution of polar mesospheric clouds and comparisons with Cloud Imaging and Particle Size (CIPS) experiment and the Solar Occultation For Ice Experiment (SOFIE) observations, J. Geophys. Res.-Atmos., 115, D10204, https://doi.org/10.1029/2009JD012451, 2010. 
Benze, S., Randall, C. E., DeLand, M. T., Thomas, G. E., Rusch, D. W., Bailey, S. M., Russell, J. M., McClintock, W., Merkel, A. W., and Jeppesen, C.: Comparison of polar mesospheric cloud measurements from the Cloud Imaging and Particle Size experiment and the solar backscatter ultraviolet instrument in 2007, J. Atmos. Sol.-Terr. Phy., 71, 365–372, https://doi.org/10.1016/j.jastp.2008.07.014, 2009. 
Benze, S., Randall, C. E., DeLand, M. T., Thomas, G. E., Bailey, S. M., Russell, J. M., and Merkel, A. W.: Evaluation of AIM CIPS measurements of Polar Mesospheric Clouds by comparison with SBUV data, J. Atmos. Sol.-Terr. Phy., 73, 2065–2072, https://doi.org/10.1016/j.jastp.2011.02.003, 2011. 
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Short summary
Ultraviolet imaging technology has significantly advanced the research and development of polar mesospheric clouds (PMCs). In this study, we proposed the wide-field-of-view ultraviolet imager (WFUI) and built a forward model to evaluate the detection capability and efficiency. The results demonstrate that the WFUI performs well in PMC detection and has high detection efficiency. The relationship between ice water content and detection efficiency follows an exponential function distribution.
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