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Instructions for use Title Nature of Streaky Structures Observed with a Doppler Lidar Author(s) Yagi, Ayako; Inagaki, Atsushi; Kanda, Manabu; Fujiwara, Chusei; Fujiyoshi, Yasushi Citation Boundary-layer meteorology, 163(1), 19-40 https://doi.org/10.1007/s10546-016-0213-2 Issue Date 2016-12-07 Doc URL http://hdl.handle.net/2115/67786 Rights "The final publication is available at link.springer.com". Type article (author version) Additional Information There are other files related to this item in HUSCAP. Check the above URL. File Information BLM_2017_fig_table.pdf Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP

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Page 1: There are other files related to this item in HUSCAP. Check the … · 2017. 12. 7. · LES_flat (Lin et al. 1997), LES_city (Huda et al. 2016), WT_cube (Takimoto et al. 2013). DL

Instructions for use

Title Nature of Streaky Structures Observed with a Doppler Lidar

Author(s) Yagi, Ayako; Inagaki, Atsushi; Kanda, Manabu; Fujiwara, Chusei; Fujiyoshi, Yasushi

Citation Boundary-layer meteorology, 163(1), 19-40https://doi.org/10.1007/s10546-016-0213-2

Issue Date 2016-12-07

Doc URL http://hdl.handle.net/2115/67786

Rights "The final publication is available at link.springer.com".

Type article (author version)

Additional Information There are other files related to this item in HUSCAP. Check the above URL.

File Information BLM_2017_fig_table.pdf

Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP

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Fig. 1 Deployment of instruments: (a) view of the installation site (agl: above ground level), (b) area

covered by the Doppler lidar.

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Fig. 2 Horizontal snapshots of the radial velocity measured by the Doppler lidar (DL): (a) the category of

Streak, (b) Mixed, (c) Fishnet, (d) No streak, (e) Front, (f) (g) (h) (i) (j) (k) (l)Others. Red (blue) is

positive (negative) radial velocity which corresponds to the direction away from (toward) the Doppler

lidar.

(e)

[km

]

[km]

[km][m s-1]

(h)

(a)

(d)

(b) (c)

(f)

[km][km][km][m s-1][m s-1][m s-1]

[km

]

[km][km][m s-1][m s-1]

[km][m s-1]

(g)

[km][m s-1]

[km][m s-1]

(i)

(j)

[km

]

[km][m s-1]

[km][m s-1]

(k) (l)

[km

][k

m]

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Fig. 3 Vertical snapshots of signal-to-noise ratio (SNR), (a) 24 October 2012, 1757 JST, (d) 28 September

2012, 0013 JST vertical profiles of averaged SNR for 30 min and its Haar-wavelet coefficient (b) 24

October 2012, 1730 to 1800 JST, (e) 28 Sep 2012, 0000 to 0030 JST, vertical profiles of horizontal wind

velocity and wind direction (c) 24 October 2012, 1734 JST, (f) 28 September 2012, 0004 JST. The red

dotted lines in (b), (c) and (e) show the estimated boundary-layer height for each profile.

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Fig. 4 Horizontal snapshots of radial velocity and streamwise velocity fluctuation, (a) (c) 27 September

2012, 0938 JST, (b) (d) 10 November 2012, 0200 JST. The double-headed arrow in (c) (d) show

estimated spacing of streaky structures. The atmospheric parameters of the two cases are as follows; (a)

(c) 𝑈𝑈 = 8.4 m s−1, Δ𝑈𝑈 Δ𝑧𝑧⁄ = 0.009 s−1, and 𝐿𝐿 = −531 m. (b) (d) 𝑈𝑈 = 10.6, Δ𝑈𝑈 Δ𝑧𝑧⁄ = 0.041 s−1,

and 𝐿𝐿 = 1136 m.

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Fig 5. Diurnal variation in the number of occurrences for each flow pattern, (a) autumn, (b) winter. One

occurrence corresponds to 10 min.

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Fig. 6 Stability and horizontal wind speed of each flow pattern, (a) unstable (−𝑧𝑧𝑖𝑖 𝐿𝐿 >⁄ 0), (b) stable

(−𝑧𝑧𝑖𝑖 𝐿𝐿 <⁄ 0). The upper line and bottom line in (a) are the limit for random cells and roll vortices

proposed by Grossman (1982).

0.000010.00010.0010.010.1

110

1001000

10000

0 1 10 100

𝑈𝑈 [m s-1]

𝑧𝑧 𝑚𝑚∕𝐿𝐿

0.000010.00010.0010.010.1

110

1001000

10000

0 1 10 100

∕𝐿𝐿

𝑈𝑈 [m s−1]

only random cellsGrossman (1982)

only roll vorticesGrossman (1982)

●Streak ●Mixed ●Fishnet ●No streak ×Others

(a)

(b)

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Fig. 7 Relationships between the spacing of streaky structures and meteorological variables: (a) stability,

(b) horizontal wind velocity, and (c) wind shear. DL is the Doppler lidar. The symbols are as follows;

DL, cases of DL with cloud on the top of atmospheric boundary layer, + cases of DL during typhoon.

Results of other studies are also shown: □ LES_flat (Lin et al. 1997), ◇ LES_city (Huda et al. 2016),

▽ WT_cube (Takimoto et al. 2013). DL plots include only cases whose mean horizontal wind velocity

was greater than 3.5 m s−1. The mean horizontal wind velocity were 30-min average of streamwise wind

velocity observed by a sonic anemometer at a height of 25 m above ground level.

(b)(a)

0

200

400

600

800

1000

-6 -3 0 3 60

200

400

600

800

1000

0 10 20 30

0

200

400

600

800

1000

0 0.02 0.04 0.06 0.083 10

● DLDL_cloud

十 DL_typhoon□LES_flat◇LES_city▽WT_cube

(c)

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Fig. 8 Relationship between non-dimensional spacing of streaky structures and non-dimensional wind

shear. The symbols are same as Fig 7.

0

0.1

0.2

0.3

0.4

0.5

0

0.1

0.2

0 0.6 1.2 1.8

● DLDL_cloud

◇LES_city▽WT_cube

十DL_typhoon□LES_flat

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Fig. 9 Relationship between the non-dimensional spacing of streaky structures and non-dimensional

height. The symbols are same as Figs 7 and 8.

0

0.2

0.4

0.6

0.8

0 0.6 1.2 1.8

● DLDL_cloud

◇LES_city▽WT_cube

十DL_typhoon□LES_flat

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Fig. 10 Statistics of the radial velocity distribution. 𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐 𝑈𝑈⁄ is the bulk convergence normalized

by the horizontal wind speed, 𝜎𝜎𝜃𝜃 is the variance of the wind direction and 𝜎𝜎𝑣𝑣𝑟𝑟′ is the standard deviation

of the fluctuation of radial velocity.

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Fig. 11 Relationships between the non-dimensional spacing of streaky structures and the length scales. 𝜆𝜆

is the spacing of streaky structures, 𝑙𝑙𝑚𝑚𝑚𝑚𝑐𝑐𝑚𝑚𝑐𝑐𝑚𝑚𝑚𝑚 is the separation distance from the minimum peak of the

two-point correlation, 𝑧𝑧𝑚𝑚 is the boundary layer height, and DL is Doppler lidar. The symbols are as

follows: DL, ◇ LES_city (Huda et al. 2016).

0.0

0.2

0.4

0.6

0.8

1.0

1.2

0 1 2

● DL◇LES_city

y = 0.6x +1.3 10-2

R² = 0.9

y = 0.6xR² = 0.9

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Fig. 12 Relationship between the non-dimensional spacing of streaky structures and non-dimensional

wind shear. The colour of plots represents value of 𝑧𝑧𝑖𝑖. DL is Doppler lidar. The symbols are as follows:○

DL, □ LES_flat (Lin et al. 1997), ◇ LES_city (Huda et al. 2016), ▽ WT_cube (Takimoto et al. 2013).

DL plots include only cases whose mean horizontal wind velocity was greater than 3.5 m s−1. The mean

horizontal wind velocity were 30-min average of streamwise wind velocity observed by a sonic

anemometer at 25 m above ground level.

[m]

○ DL□ LES_flat◇ LES_city▽ WT_cube

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Table 1 Thirty-min scan sequence of the Doppler Lidar (DL). PPI is the Plan Position Indicator, RHI is

the Range Height Indicator. Azimuths of 0 °, 90 °, 180 ° and 270 ° correspond to the north, east, south,

and west directions, respectively.

No scan mode number of scan elevation [°] azimuth [°] time [min]

1 PPI 2 0 0~360 4

2 RHI 2 -1~181 135 2.3

3 RHI 2 -1~181 45 2.3

4 PPI 2 0 0~360 4

5 RHI 2 -1~181 135 3

6 PPI 2 0 0~360 4

7 RHI 2 -1~181 135 3

8 PPI 1 0 0~360 3

9 RHI 1 -1~181 135 2.6

total time 28.2

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Table 2 Criteria of visual classification

Streak

Clear streaky patterns are seen along the dominant wind direction.

The boundary of positive and negative radial velocity is almost straight.

Mixed

Streaky patterns are seen along the dominant wind direction.

The boundary of positive and negative radial velocity is distorted.

Fishnet The boundaries of positive and negative radial velocity have a periodic cell-like

(fishnet) pattern.

No streak

Neither streaky nor cell-like patterns is seen.

The boundary of positive and negative radial velocity is straight.

Front Clear convergence line is seen.

Others Exception to the above five groups above.

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Table 3 Other studies cited in Figure 7-9

reference approach methodology to estimate length scale stability surface 𝑧𝑧 [m]

Lin et al.

(1997) LES

length scale determined by at the minimum peak

of two-point correlation neutral flat surface 23, 46, 92

Huda et al.

(2016) LES

wavelength at the peak of the power spectrum

density (the dataset was given to us personally

and the spacing λ was calculated in the same

way as in this paper)

neutral urban geometry 54, 98,

198, 298

Takimoto et al.

(2013) wind tunnel

length scale determined by at the minimum peak

of two-point correlation neutral

a square array 0.063

height varying elements 0.061

two-dimensional street canyon 0.056

flat surface 0.036