2012
DOI: 10.1007/s10546-011-9691-4
|View full text |Cite
|
Sign up to set email alerts
|

Effects of Mesoscale Surface Thermal Heterogeneity on Low-Level Horizontal Wind Speeds

Abstract: Using large-eddy simulation, we investigate characteristics of horizontal wind speed at 100 m above the ground, with surface heat-flux variations that are sinusoidal with amplitudes of 0, 50, and 200 W m −2 and wavelengths of 16, 32, and 128 km, and no background flow. When the amplitude is 200 W m −2 , wind speeds induced by the surface-flux variations on scales of 16 and/or 32 km have multiple temporal oscillations from 0600 to 1800 local standard time. The positive peaks first appear before noon. In contras… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
14
0

Year Published

2013
2013
2016
2016

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 15 publications
(14 citation statements)
references
References 52 publications
0
14
0
Order By: Relevance
“…The biases and 62s bounds (95% confidence intervals; s is standard deviation) are 20.9 6 0.18, 21.0 6 0.18, and 20.8 6 0.18 m s 21 for S MYJ , S UW , and S YSU , respectively. The larger ramp frequency in March-June when compared with winter likely results from ramps associated with non-synoptic-scale forcing, such as lower-atmosphere or local-surface thermal heterogeneity (Kang et al 2012). As shown in Fig.…”
Section: A Evaluation Of Mean Wind Predictionsmentioning
confidence: 94%
“…The biases and 62s bounds (95% confidence intervals; s is standard deviation) are 20.9 6 0.18, 21.0 6 0.18, and 20.8 6 0.18 m s 21 for S MYJ , S UW , and S YSU , respectively. The larger ramp frequency in March-June when compared with winter likely results from ramps associated with non-synoptic-scale forcing, such as lower-atmosphere or local-surface thermal heterogeneity (Kang et al 2012). As shown in Fig.…”
Section: A Evaluation Of Mean Wind Predictionsmentioning
confidence: 94%
“…Here we use the numerical model "Cloud Model version 1" (CM1) that has been used for several LES studies in recent years (e.g., Kang and Bryan 2011;Kang et al 2012;Wang 2014;Nowotarski et al 2014;Markowski and Bryan 2016). Details of the model used here, including a new "two part" subgrid model near the surface, are provided in the Appendix.…”
Section: Large-eddy Simulationsmentioning
confidence: 99%
“…On the other hand, the SC advects air parcels from the cold towards the warm patch which are on average cooler than the surrounding air (see Fig. 1), stabilizing the lower CBL over the warm patch, as shown by Kang and Davis (2008) and Kang et al (2012). For the A20L32* simulation we suppose that the stabilization is the governing mechanism reducing entrainment over the warm patch, whereas e.g.…”
Section: What Causes the Reduced Entrainment For Small Heterogeneity mentioning
confidence: 99%