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. 2021 Jun 8;11:12092. doi: 10.1038/s41598-021-91325-w

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© The Author(s) 2021, corrected publication 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Multivariate matrix of drone flyability as influenced by air temperature, wind speed, and precipitation in the 100 most populated world cities²¹. Each interior plot shows median flyability as a function of minimum and maximum temperature tolerances. The vertical position of interior plots corresponds to precipitation thresholds, the horizontal position of interior plots corresponds to maximum wind speed resistance. The stars correspond to the CD (black) and WRD (yellow) to benchmark potential flyability gains. The arrow shows the greatest opportunity for improving flyability for CDs—increasing precipitation threshold by 1 mm/h and maximum wind speed resistance by 5 m/s.