Deep-Learning-Based Convective Boundary Layer Determination for Aerosol and Wind Profiles Observed by Wind LiDAR
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-37818-8_13
Reference9 articles.
1. Stull, R.B.: An Introduction to Boundary Layer Meteorology, vol. 13. Springer Netherlands, Dordrecht (1988). http://link.springer.com/10.1007/978-94-009-3027-8
2. Holtslag, A.A.M., Boville, B.A.: Local versus nonlocal boundary-layer diffusion in a global climate model. J. Clim. 6(10), 1825–1842 (1993). https://doi.org/10.1175/1520-0442(1993)006%3C1825:LVNBLD%3E2.0.CO;2
3. Emeis, S., Schäfer, K.: Remote sensing methods to investigate boundary-layer structures relevant to air pollution in cities. Boundary-Layer Meteorol. 121(2), 377–385 (2006)
4. Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) Comput. Vis. – ECCV 2016, pp. 483–499. Springer, Cham (2016)
5. Huang, M., Gao, Z., Miao, S., Chen, F., LeMone, M.A., Li, J., Hu, F., Wang, L.: Estimate of boundary-layer depth over Beijing, China, using Doppler LiDAR data during SURF-2015. Boundary-Layer Meteorol. 162(3), 503–522 (2017)
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