A refinement of the Millionshchikov quasi-normality hypothesis for convective boundary layer turbulence
Journal of the Atmospheric Sciences, ISSN: 0022-4928, Vol: 62, Issue: 7 II, Page: 2632-2638
2005
- 35Citations
- 6Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The Millionshchikov hypothesis of quasi-normal distribution of fourth-order moments fails for convective conditions where the probability density functions of temperature and vertical velocity fluctuations are skewed. This is shown for aircraft and large-eddy simulation (LES) data, and new closures for fourth-order moments that take the skewness into account are suggested. These new closures are in very good agreement with the data. © 2005 American Meteorological Society.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=27344438276&origin=inward; http://dx.doi.org/10.1175/jas3457.1; https://journals.ametsoc.org/doi/10.1175/JAS3457.1; http://journals.ametsoc.org/jas/article-pdf/62/7/2632/3483895/jas3457_1.pdf; http://journals.ametsoc.org/doi/abs/10.1175/JAS3457.1; http://journals.ametsoc.org/doi/pdf/abs/10.1175/JAS3457.1; https://dx.doi.org/10.1175/jas3457.1; https://journals.ametsoc.org/jas/article/62/7/2632/26292/A-Refinement-of-the-Millionshchikov-Quasi
American Meteorological Society
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know