Impacts of submesoscale motions on similarity relationships based on nocturnal observations in the Taklimakan Desert-Reference-Cited by-同舟云学术

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Impacts of submesoscale motions on similarity relationships based on nocturnal observations in the Taklimakan Desert

Published:2024-07-03 Issue:8 Volume:155 Page:7629-7649
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Zhang Hailiang,Wang Minzhong,He Qing,Mamtimin Ali,Liu Junjian,Li Huoqing

Funder

Natural Science Foundation of Xinjiang Uygur Autonomous Region

Open Grants of the State Key Laboratory of Severe Weather

Xinjiang Science Fund for Distinguished Young Scholars

Scientific and Technological Innovation Team (Tianshan Innovation Team) Project of Xinjiang

Third Xinjiang Scientific Expedition and Research program

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00704-024-05070-x.pdf

Reference90 articles.

1. Acevedo OC, Moraes OLL, Degrazia GA, Medeiros LE (2006) Intermittency and the exchange of scalars in the nocturnal surface layer. Bound Layer Meteorol 119:41–55. https://doi.org/10.1007/s10546-005-9019-3

2. Acevedo OC, Moraes OLL, Degrazia GA et al (2009) Is friction velocity the most appropriate scale for correcting nocturnal carbon dioxide fluxes? Agric For Meteorol 149:1–10. https://doi.org/10.1016/j.agrformet.2008.06.014

3. Acevedo OC, Costa FD, Oliveira PES et al (2014) The influence of Submeso processes on stable boundary layer similarity relationships. J Atmos Sci 71:207–225. https://doi.org/10.1175/JAS-D-13-0131.1

4. Ansorge C, Mellado JP (2014) Global intermittency and collapsing turbulence in the stratified planetary boundary layer. Bound Layer Meteorol 153:89–116. https://doi.org/10.1007/s10546-014-9941-3

5. Babić K, Rotach MW, Klaić ZB (2016) Evaluation of local similarity theory in the wintertime nocturnal boundary layer over heterogeneous surface. Agric For Meteorol 228–229:164–179. https://doi.org/10.1016/j.agrformet.2016.07.002

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