1
Eddy-resolving Lidar Measurements and Numerical Simulations of the Convective Internal Boundary Layer Shane D. Mayor, Gregory J. Tripoli, and Edwin W. Eloranta Department of Atmospheric and Oceanic Sciences, University of Wisconsin Madison, Wisconsin, 53706, USA 10 JANUARY 1998 distance east of lidar distance south of lidar 0 2 4 6 8 10 12 -10 -8 -6 -4 -2 0 13 JANUARY 1998 0 1 2 3 4 5 6 7 8 9 10 -5 0 5 10 15 20 x 10 -4 10 January 1998, 14:16-14:57 UT divergence (s -1 ) Distance east of VIL (offshore distance) km 0 1 2 3 4 5 6 7 8 9 10 -2 -1.5 -1 -0.5 0 0.5 1 x 10 -3 10 January 1998, 14:16-14:57 UT vorticity (s -1 ) Distance east of VIL (offshore distance) km distance east of lidar distance south of lidar 0 2 4 6 8 10 12 -10 -8 -6 -4 -2 0 The VIL uses a Nd:YAG laser to transmit 400- mJ pulses at 1.064-micron wavelength at 100 Hz.. The VIL resides in a semi-trailer van, employs 0.5-m optics, a beam-steering unit, log-amplifier and real-time-displays. Data are stored on write-once optical disks. During cold-air outbreaks, steam-fog forms over the lake and is an excellent source of scattering for the lidar. In this poster we present correlation functions and winds derived from horizontal (PPI) and vertical (RHI) scans of the VIL during Lake- ICE. The observations are used to check a large-eddy simulation of the internal boundary layer. 4.5 5 5.5 6 6.5 7 7.5 8 8.5 9 9.5 10 Downwind distance (km) Altitude (km) 0 1 2 3 4 5 6 7 8 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 DOWNSTREAM WIND SPEEDS FROM RHI SCANS ON 13 JANUARY 1998 SPATIALLY RESOLVED 5-m WINDS FROM CROSS-CORRELATION OF AEROSOL BACKSCATTER STRUCTURE WIND SPEED WIND SPEED DIVERGENCE DIVERGENCE VORTICITY VORTICITY Minimum air temperature at the surface on the morning of 10 January 1998 was -16 C in Sheboygan. Winds were from the WSW at 5-10 m/s. The mixed-layer was about 1- km deep. Minimum air temperature at the surface on the morning of 13 January 1998 was -21 C in Sheboygan. Winds were from the NW at 5-10 m/s. The mixed-layer was about 400- m deep. FREE ATMOSPHERE (USUALLY NOT TURBULENT) STRATOCUMULUS CLOUDS THERMAL INTERNAL BOUNDARY LAYER (HEAT AND SHEAR DRIVEN) WEST WISCONSIN (COLD SURFACE) LAKE MICHIGAN (RELATIVELY WARM SURFACE ~0° TO 5°C) EAST (-15° TO -30°C) VERY COLD OFFSHORE FLOW STEAM-FOG MIXED LAYER Steam-fog near the VIL site from the NCAR Electra on 13 January 1998. Notice the cellular patterns of fog. Photo courtesy Dave Rogers (CSU). This photograph was taken from the VIL site looking east over Lake Michigan. Notice the steam-fog and clouds offshore. Speed and direction as a function of offshore distance. These north-south averages of the wind speed and direction show acceleration and veering as the flow adjusts to changing surface friction, pressure- gradient, and vertical mixing over the water. 0 1 2 3 4 5 6 7 8 4 5 6 7 8 9 10 30 m 180 m 330 m 480 m Wind Speed (m/s) Downstream distance (km) Consecutive RHI-scans at a constant azimuth angle (pointed downwind with respect to the mean surface wind direction) produced one vertical slice of the boundary layer every 2 s. The cross-correlation technique was applied to the RHI scans to measure the downwind component of wind-speed as a function of altitude and downstream distance. Correlation functions were summed over 600-m horizontal bands to reduce noise. The wind-speeds from the RHI scans show the air near the surface increasing speed while the upper-levels decrease in speed. The vertical gradient of wind-speed decreases offshore because of strong vertical mixing caused by convection. The wind-field derived from PPI scans of the VIL on 13 January 1998 show a strong wind-speed maximum in the upper right corner. This appears to be caused by Sheboygan Point which lies directly upwind along the shearline. Photograph of the VIL in Sheboygan, WI, during Lake- ICE. This was taken looking west before dawn with the moon setting. The bright light on the beam steering unit was used to prevent frost from forming on the windows. VISIBLE GOES-8 SATELLITE IMAGE RADIOSONDE SOUNDINGS TAKEN 10-KM WEST OF LIDAR SITE RADIOSONDE SOUNDINGS TAKEN 10-KM WEST OF LIDAR SITE VISIBLE GOES-8 SATELLITE IMAGE AEROSOL BACKSCATTER FROM ONE PPI SCAN OF VOLUME IMAGING LIDAR AEROSOL BACKSCATTER FROM ONE PPI SCAN OF VOLUME IMAGING LIDAR The 250-m resolution wind-field derived from PPI scans of the VIL on 10 January 1998 shows acceleration and veering of the offshore flow. The largest streak in the divergence and vorticity fields appears to be a building wake originating at the Edgewood power plant located 3-km south of the lidar. Wind Speed (m/s) 120-degree component of wind-speed derived from 1290 lidar RHI-scans between 10:44 and 11:08 CST on 13 January 1998. Divergence as a function of offshore distance. These north- south averages of the divergence show the effect of the acceleration near the shore. Vorticity as a function of offshore distance. These north-south averages of the vorticity show the effect of veering near the shore. 2 4 6 8 10 3 4 5 6 7 8 9 10 11 wind speed wind direction 2 4 6 8 10 240 242 244 246 248 250 252 254 256 10 January 1998, 14:16-14:57 UT Distance east of VIL (offshore distance) km 0 (degrees) (m/s) -40 -30 -20 -10 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 Altitude (km) Temperature C 15:00 Z T 15:00 Z T d 16:30 Z T 16:30 Z T d 0 20 40 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 Wind Speed (m/s) 15:00 Z 16:30 Z 280 300 320 340 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 Wind Direction (degrees 15:00 Z 16:30 Z -40 -30 -20 -10 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 Altitude (km) Temperature C 13:30 Z T 13:30 Z T d 15:00 Z T 15:00 Z T d 0 20 40 0 0.5 1 1.5 2 2.5 3 3.5 4 Wind Speed (m/s) 13:30 Z 15:00 Z 200 250 300 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 Wind Direction (degrees 13:30 Z 15:00 Z LIDAR HERE INTRODUCTION Aerosol backscatter data from the University of Wisconsin Volume Imaging Lidar (VIL) are used to check the accuracy of large-eddy simulations (LES) of an internal convective boundary layer. Wind speed and direction and eddy size and shape are obtained from cross-correlation of the aerosol backscatter data and simulated lidar aerosol backscatter in the LES. The VIL was deployed in Sheboygan, Wisconsin, during the winter 1997-1998 Lake-Induced Convection Experiment (Lake- ICE). Sheboygan is located on the western edge of Lake Michigan. The lake does not freeze during the winter. LIDAR HERE LIDAR HERE LIDAR HERE POWER PLANT LIDAR HERE LIDAR HERE LIDAR HERE LIDAR HERE -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) north-south lag (m) 1800 m -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) 2700 m -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) 3600 m -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) 4500 m -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) north-south lag (m) 1800 m 0 1 0 -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) 2700 m -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) 3600 m -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) 4500 m -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) north-south lag (m) 1800 m 0 0 0 0 0 0 0.1 0.1 0.2 -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) 2700 m 0 0 0 0 0.1 0.1 0.2 0.2 -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) 3600 m 0 0 0 0 0 0 0.1 0.1 0.2 0.2 0 0 0 0 -200 0 200 -300 -200 -100 0 100 200 300 east-west lag (m) 4500 m 0 0 ALTITUDE (km) DISTANCE (km) 0 2 4 6 8 10 0.2 0.4 0.6 45 50 55 60 65 70 75 80 85 90 0 2 4 6 8 10 0 0.5 1 1.5 COLD OFFSHORE FLOW RESTORING ZONE RESTORING ZONE LAND WATER 30 40 50 60 70 80 90 100 1 1.5 2 2.5 3 3.5 4 Relative Humidity (%) Scattering Fitzgerald et al. JAS 82, data 7-26-79 Fitzgerald et al. JAS 82, data 7-27-79 Fitzgerald et al. JAS 82, data 7-30-79 Fitzgerald et al. JAS 82, data 7-31-79 f(RH) = -2.5 + 8.4/(100-RH) 2 -200 0 200 400 600 800 1000 1200 0 0.2 0.4 0.6 0.8 1 1800 m offshore 24 s time-lags 13 Jan 1998 Downwind Lag (m) Correlation -200 0 200 400 600 800 1000 1200 0 0.2 0.4 0.6 0.8 1 1800 m offshore 15 s time-lags LES #181 Downwind Lag (m) Correlation LARGE-EDDY SIMULATION CROSS-CORRELATION of aerosol backscatter data provide quantitative measurements of mean eddy shape, size, orientation, wind speed and direction. The University of Wisconsin Nonhydrostatic Modeling System Solves the non-Bousinesq, Quasi-compressible, enstrophy conserving form of the Navier-Stokes equation. Finite-difference with dynamic conservation principles enforced for enstrophy (vorticity squared), vorticity, kinetic energy, and entropy. (A 3-D extension of Arakawa & Lamb, 1981.) Subgrid turbulence parameterization uses a prognostic TKE equation that is equivalent to Lilly buoyancy enhanced formulation when TKE applied as a diagnostic. Equivalent to Smagorinsky formulation when TKE is applied diagnostically and shear is the only source of TKE. Rayleigh damping layer at top of domain to prevent gravity wave reflection. Rayleigh restoring zones at east and west ends of the domain acting on U, V, W, T, and Q. Periodic lateral boundary conditions Bulk surface parameterization 5-layer soil model (snow-covered land and water surface in our simulations) We simulate lidar aerosol backscatter by using the LES relative humidity (RH) and a passive tracer. First, the RH is used in a function to obtain an optical scattering factor. The scattering is multiplied by the tracer and then we take the log of their product to simulate the log amplifer used in the VIL. USING THE LIDAR DATA TO VERIFY LARGE-EDDY SIMULATIONS LIDAR DATA MODEL RUN A MODEL RUN B Distance east of lidar (km) Distance south of lidar (km) LIDAR 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0 0.5 1 1.5 2 2.5 3 LES Offshore distance (km) Distance along coast (km) 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0 0.5 1 1.5 2 2.5 3 LES Offshore distance (km) Distance along coast (km) 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0 0.5 1 1.5 2 2.5 3 LIDAR Distance offshore (km) Altitude (km) 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 LES Distance offshore (km) Altitude (km) 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 LES Distance offshore (km) Altitude (km) 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 w in les181 at 7.5 m AGL, 1800 s distance from shore (km) distance (km) -6 -4 -2 0 2 4 6 0 0.5 1 1.5 -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5 distance (km) distance from shore (km) w in les195 at 7.5 m AGL, 1800 s -6 -4 -2 0 2 4 6 0 0.5 1 1.5 -200 0 200 400 600 800 1000 1200 0 0.2 0.4 0.6 0.8 1 1800 m offshore 12 s time-lags LES #195 Downwind Lag (m) Correlation -300 -200 -100 0 100 200 300 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Downwind Lag (m) Correlation LIDAR LES A (#181) LES B (#195) 0 20 40 60 80 100 120 140 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Time (s) Correlation LIDAR LES A (#181) LES B (#195) -1 0 1 2 3 4 4 5 6 7 8 9 10 11 Offshore Distance (km) Wind Speed (m/s) LIDAR LES A (#181) LES B (#195) Acknowledgements: This work was made possible by NSF ATM9707165 and ARO DAAH-04-94-G- 0195. Simulations were run on a J50 donated by IBM. Lidar measurements were made possible by Jim Hedrick, Patrick Ponsardin and Ralph Kuehn. 40 50 60 70 80 90 100 distance from shore (km) altitude (km) Relative humidity -6 -4 -2 0 2 4 6 0 0.2 0.4 0.6 0.8 1 1 1.5 2 2.5 distance from shore (km) altitude (km) Scattering Enhancement Factor -6 -4 -2 0 2 4 6 0 0.2 0.4 0.6 0.8 1 0 0.5 1 1.5 distance from shore (km) altitude (km) Passive Tracer (aerosol concentration) -6 -4 -2 0 2 4 6 0 0.2 0.4 0.6 0.8 1 -1 -0.5 0 0.5 distance from shore (km) altitude (km) Simulated Lidar Backscatter -6 -4 -2 0 2 4 6 0 0.2 0.4 0.6 0.8 1 For the simulations presented here: DOMAIN SIZE: 800x120x69=6.6 million points RESOLUTION: 15 m in all directions TIME-STEP: 0.5 s INITIALIZATION: horizontally homogeneous SURFACE TEMPERATURE: -20 C (land) 5 C (water) LESs explicitly simulate the eddies & plumes in a turbulent boundary layer that are responsible for transporting heat, moisture, trace gases and momentum. Autocorrelation using 40-scans Cross-correlation using 24-second scan separation Cross-correlation using 48-second scan separation Cross-correlation using 72-second scan separation SUMMARY OF COMPARISON OF OBSERVATIONS WITH SIMULATIONS RELATIVE HUMIDITY (%) ONE RHI SCAN FROM LIDAR (EAST-WEST VERTICAL SLICE) ONE EAST-WEST VERTICAL SLICE OF SIMULATED AEROSOL BACKSCATTER FROM MODEL RUN A ONE EAST-WEST VERTICAL SLICE OF SIMULATED AEROSOL BACKSCATTER FROM MODEL RUN B ONE PPI SCAN FROM LIDAR (HORIZONTAL SLICE AT 5-m ABOVE SURFACE) 1.8 km 4.5 km 3.6 km 2.7 km ONE HORIZONTAL SLICE AT 7.5-m OF SIMULATED AEROSOL BACKSCATTER FROM MODEL RUN A ONE HORIZONTAL SLICE AT 7.5-m OF SIMULATED AEROSOL BACKSCATTER FROM MODEL RUN B TWO-DIMENSIONAL CROSS-CORRELATION FUNCTIONS OF AEROSOL BACKSCATTER ON HORIZONTAL PLANES AT GIVEN OFFSHORE DISTANCES 1800-m OFFSHORE CROSS-SECTION OF THE 2-D CORRELATION FUNCTION ALONG A DOWNWIND ORIENTED AXIS LIDAR MODEL RUN B MODEL RUN A -500 0 500 1000 0 0.2 0.4 0.6 0.8 1 Downwind distance (m) Correlation -500 0 500 1000 0 0.2 0.4 0.6 0.8 1 Downwind distance (m) Correlation -500 0 500 1000 0 0.2 0.4 0.6 0.8 1 Downwind distance (m) Correlation -500 0 500 1000 0 0.2 0.4 0.6 0.8 1 Downwind distance (m) Correlation 0 0.2 0.4 0.6 0.8 1 North-south lag (m) East-west lag (m) -200 0 200 400 600 -400 -200 0 200 400 0 0.2 0.4 0.6 0.8 1 North-south lag (m) East-west lag (m) -200 0 200 400 600 -400 -200 0 200 400 0 0.2 0.4 0.6 0.8 1 North-south lag (m) East-west lag (m) -200 0 200 400 600 -400 -200 0 200 400 0 0.2 0.4 0.6 0.8 1 North-south lag (m) East-west lag (m) -200 0 200 400 600 -400 -200 0 200 400 The fundamental advantage of LES is its ability to explicitly calculate fluxes due to coherent structures. However, the modeled eddies can be sensitive to numerical methods. Conventional data lack the spatial and temporal resolution to evaluate the fidelity of the simulated structures. Here we present two simulations that differ only by the numerical advection scheme. In general, both simulations show spatial and temporal eddy-structure which is remarkably similar to the lidar data. However, these two simulations differ markedly near the lake-edge. In particular, run B shows more elongated structures than the lidar data. The structures in both simulations are tend to orientations aligned with the domain rather than the wind direction as shown in the lidar data. The wind accelerates too rapidly as it leaves the shoreline in both simulations. This may be related to lack of shoreline topography in the model or errors in the initialization of the pressure-gradient. Our current simulations show large-eddies of only about half the mixed-layer depth developing over the 6-km fetch of land in the model. WIND DIRECTION 0.0 0.1 0.2 VERTICAL VELOCITY (m/s) VERTICAL VELOCITY (m/s) The images above show vertical velocity across the entire model domain at 7.5 m above the surface. The advection scheme used in Model Run A encouraged fine-scale roll-circulations to develop farther upstream than the advection scheme used in Model Run B.

INTRODUCTION Eddy-resolving Lidar Measurements and Numerical Simulations …lidar.ssec.wisc.edu/posters/blt/BLT2000_P5B11.pdf · 2001-04-06 · Eddy-resolving Lidar Measurements and

  • Upload
    others

  • View
    4

  • Download
    0

Embed Size (px)

Citation preview

Page 1: INTRODUCTION Eddy-resolving Lidar Measurements and Numerical Simulations …lidar.ssec.wisc.edu/posters/blt/BLT2000_P5B11.pdf · 2001-04-06 · Eddy-resolving Lidar Measurements and

Eddy-resolving Lidar Measurements and NumericalSimulations of the Convective Internal Boundary Layer

Shane D. Mayor, Gregory J. Tripoli, and Edwin W. ElorantaDepartment of Atmospheric and Oceanic Sciences, University of Wisconsin

Madison, Wisconsin, 53706, USA

10 JANUARY 1998

distance east of lidar

dist

ance

sou

th o

f lid

ar

0 2 4 6 8 10 12

-10

-8

-6

-4

-2

0

13 JANUARY 1998

0 1 2 3 4 5 6 7 8 9 10-5

0

5

10

15

20 x 10-4

10 January 1998, 14:16-14:57 UT

dive

rgen

ce (s

-1)

Distance east of VIL (offshore distance) km

0 1 2 3 4 5 6 7 8 9 10-2

-1.5

-1

-0.5

0

0.5

1x 10-3

10 January 1998, 14:16-14:57 UT

vorti

city

(s-1

)

Distance east of VIL (offshore distance) km

distance east of lidar

dist

ance

sou

th o

f lid

ar

0 2 4 6 8 10 12

-10

-8

-6

-4

-2

0

The VIL uses a Nd:YAG laser to transmit 400-mJ pulses at 1.064-micron wavelength at 100 Hz.. The VIL resides in a semi-trailer van, employs 0.5-m optics, a beam-steering unit, log-amplifier and real-time-displays. Data are stored on write-once optical disks.

During cold-air outbreaks, steam-fog forms over the lake and is an excellent source of scattering for the lidar.

In this poster we present correlation functions and winds derived from horizontal (PPI) and vertical (RHI) scans of the VIL during Lake-ICE. The observations are used to check a large-eddy simulation of the internal boundary layer.

4.5

5

5.5

6

6.5

7

7.5

8

8.5

9

9.5

10

Downwind distance (km)

Altitu

de (k

m)

0 1 2 3 4 5 6 7 8

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

DOWNSTREAM WIND SPEEDS FROM RHI SCANS ON 13 JANUARY 1998

SPATIALLY RESOLVED 5-m WINDS FROM CROSS-CORRELATION OF AEROSOL BACKSCATTER STRUCTURE

WIND SPEED

WIND SPEED

DIVERGENCE

DIVERGENCE

VORTICITY

VORTICITY

Minimum air temperature at the surface on the morning of 10 January 1998 was -16 C in Sheboygan. Winds were from the WSW at 5-10 m/s. The mixed-layer was about 1-km deep.

Minimum air temperature at the surface on the morning of 13 January 1998 was -21 C in Sheboygan. Winds were from the NW at 5-10 m/s. The mixed-layer was about 400-m deep.

FREE ATMOSPHERE(USUALLY NOT TURBULENT)

STRATOCUMULUS CLOUDS

THERMAL INTERN ALBOUNDARY LAYER

(HEAT AND SHEAR DRIVEN)

WEST WISCONSIN(COLD SURFACE) LAKE MICHIGAN

(RELATIVELY WARM SURFACE ~0° TO 5°C)

EAST

(-15° TO -30°C)

VERY COLD OFFSHORE FLOW

STEAM-FOG

MIXED LAYER

Steam-fog near the VIL site from the NCAR Electra on 13 January 1998. Notice the cellular patterns of fog. Photo courtesy Dave Rogers (CSU).

This photograph was taken from the VIL site looking east over Lake Michigan. Notice the steam-fog and clouds offshore.

Speed and direction as a function of offshore distance. These north-south averages of the wind speed and direction show acceleration and veering as the flow adjusts to changing surface friction, pressure-gradient, and vertical mixing over the water.

0 1 2 3 4 5 6 7 84

5

6

7

8

9

10

30 m

180 m

330 m

480 m

Wind

Spee

d (m/

s)

Downstream distance (km)

Consecutive RHI-scans at a constant azimuth angle (pointed downwind with respect to the mean surface wind direction) produced one vertical slice of the boundary layer every 2 s.

The cross-correlation technique was applied to the RHI scans to measure the downwind component of wind-speed as a function of altitude and downstream distance. Correlation functions were summed over 600-m horizontal bands to reduce noise.

The wind-speeds from the RHI scans show the air near the surface increasing speed while the upper-levels decrease in speed. The vertical gradient of wind-speed decreases offshore because of strong vertical mixing caused by convection.

The wind-field derived from PPI scans of the VIL on 13 January 1998 show a strong wind-speed maximum in the upper right corner. This appears to be caused by Sheboygan Point which lies directly upwind along the shearline.

Photograph of the VIL in Sheboygan, WI, during Lake-ICE. This was taken looking west before dawn with the moon setting. The bright light on the beam steering unit was used to prevent frost from forming on the windows.

VISIBLE GOES-8 SATELLITE IMAGE

RADIOSONDE SOUNDINGS TAKEN 10-KM WEST OF LIDAR SITE

RADIOSONDE SOUNDINGS TAKEN 10-KM WEST OF LIDAR SITE

VISIBLE GOES-8 SATELLITE IMAGE

AEROSOL BACKSCATTER FROM ONE PPI SCAN OF VOLUME IMAGING LIDAR

AEROSOL BACKSCATTER FROM ONE PPI SCAN OF VOLUME IMAGING LIDAR

The 250-m resolution wind-field derived from PPI scans of the VIL on 10 January 1998 shows acceleration and veering of the offshore flow. The largest streak in the divergence and vorticity fields appears to be a building wake originating at the Edgewood power plant located 3-km south of the lidar.

Wind

Spee

d (m/

s)

120-degree component of wind-speed derived from 1290 lidar RHI-scans between 10:44 and 11:08 CST on 13 January 1998.

Divergence as a function of offshore distance. These north-south averages of the divergence show the effect of the acceleration near the shore.

Vorticity as a function of offshore distance. These north-south averages of the vorticity show the effect of veering near the shore.

2 4 6 8 103

4

5

6

7

8

9

10

11

wind speed

wind direction

2 4 6 8 10240

242

244

246

248

250

252

254

25610 January 1998, 14:16-14:57 UT

Distance east of VIL (offshore distance) km0

(degrees)

(m/s)

-40 -30 -20 -100

0.5

1

1.5

2

2.5

3

3.5

4

4.5

Alt

itud

e (k

m)

Temperature C

15:00 Z T 15:00 Z Td16:30 Z T 16:30 Z Td

0 20 400

0.5

1

1.5

2

2.5

3

3.5

4

4.5

Wind Speed (m/s)

15:00 Z16:30 Z

280 300 320 3400

0.5

1

1.5

2

2.5

3

3.5

4

4.5

Wind Direction (degrees)

15:00 Z16:30 Z

-40 -30 -20 -100

0.5

1

1.5

2

2.5

3

3.5

4

4.5

Alt

itud

e (k

m)

Temperature C

13:30 Z T 13:30 Z Td15:00 Z T 15:00 Z Td

0 20 400

0.5

1

1.5

2

2.5

3

3.5

4

Wind Speed (m/s)

13:30 Z15:00 Z

200 250 3000

0.5

1

1.5

2

2.5

3

3.5

4

4.5

Wind Direction (degrees)

13:30 Z15:00 Z

LIDAR HERE

INTRODUCTIONAerosol backscatter data from the University of Wisconsin Volume Imaging Lidar (VIL) are used to check the accuracy of large-eddy simulations (LES) of an internal convective boundary layer.

Wind speed and direction and eddy size and shape are obtained from cross-correlation of the aerosol backscatter data and simulated lidar aerosol backscatter in the LES.

The VIL was deployed in Sheboygan, Wisconsin, during the winter 1997-1998 Lake-Induced Convection Experiment (Lake-ICE).

Sheboygan is located on the western edge of Lake Michigan. The lake does not freeze during the winter.

LIDAR HERE

LIDAR HERE

LIDAR HERE

POWER PLANT

LIDARHERE

LIDAR HERE

LIDAR HERE

LIDARHERE

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

nort

h-so

uth

lag

(m)

1800 m

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

2700 m

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

3600 m

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

4500 m

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

nort

h-so

uth

lag

(m)

1800 m

0.1

0.10

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

2700 m

0

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

3600 m

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

4500 m

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

nort

h-so

uth

lag

(m)

1800 m

0

00

00

0

0.1

0.1

0.2

0

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

2700 m

0

0

0

0

0.1

0.1

0.2

0.2

0

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

3600 m

00

00

0

0

0.10.1

0.2

0.2

0

0

0

0

-200 0 200-300

-200

-100

0

100

200

300

east-west lag (m)

4500 m

0

0

ALT

ITU

DE

(km

)

DISTANCE (km)0 2 4 6 8 10

0.2

0.4

0.6

45 50 55 60 65 70 75 80 85 90

0 2 4 6 8 10

00.5

11.5

COLD OFFSHORE FLOW

RESTORING ZONE

RESTORING ZONE

LAND WATER

30 40 50 60 70 80 90 1001

1.5

2

2.5

3

3.5

4

Relative Humidity (%)

Sca

tter

ing

Fitzgerald et al. JAS 82, data 7-26-79Fitzgerald et al. JAS 82, data 7-27-79Fitzgerald et al. JAS 82, data 7-30-79Fitzgerald et al. JAS 82, data 7-31-79f(RH) = -2.5 + 8.4/(100-RH)2

-200 0 200 400 600 800 1000 12000

0.2

0.4

0.6

0.8

11800 m offshore24 s time-lags13 Jan 1998

Downwind Lag (m)C

orre

lati

on

-200 0 200 400 600 800 1000 12000

0.2

0.4

0.6

0.8

11800 m offshore15 s time-lagsLES #181

Downwind Lag (m)

Cor

rela

tion

LARGE-EDDY SIMULATIONCROSS-CORRELATION of aerosol backscatter data provide quantitative measurements of mean eddy shape, size, orientation, wind speed and direction.

The University of Wisconsin Nonhydrostatic Modeling System

Solves the non-Bousinesq, Quasi-compressible, enstrophy conserving form of the Navier-Stokes equation.

Finite-difference with dynamic conservation principles enforced for enstrophy (vorticity squared), vorticity, kinetic energy, and entropy. (A 3-D extension of Arakawa & Lamb, 1981.)

Subgrid turbulence parameterization uses a prognostic TKE equation that is equivalent to Lilly buoyancy enhanced formulation when TKE applied as a diagnostic. Equivalent to Smagorinsky formulation when TKE is applied diagnostically and shear is the only source of TKE.

Rayleigh damping layer at top of domain to prevent gravity wave reflection. Rayleigh restoring zones at east and west ends of the domain acting on U, V, W, T, and Q.

Periodic lateral boundary conditions

Bulk surface parameterization

5-layer soil model (snow-covered land and water surface in our simulations)

We simulate lidar aerosol backscatter by using the LES relative humidity (RH) and a passive tracer. First, the RH is used in a function to obtain an optical scattering factor. The scattering is multiplied by the tracer and then we take the log of their product to simulate the log amplifer used in the VIL.

USING THE LIDAR DATA TO VERIFY LARGE-EDDY SIMULATIONS

LIDARDATA

MODELRUN A

MODELRUN B

Distance east of lidar (km)

Dis

tanc

e so

uth

of li

dar

(km

)

LIDAR

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5

0

0.5

1

1.5

2

2.5

3

LES

Offshore distance (km)

Dis

tanc

e al

ong

coas

t (k

m)

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5

0

0.5

1

1.5

2

2.5

3

LES

Offshore distance (km)

Dis

tanc

e al

ong

coas

t (k

m)

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5

0

0.5

1

1.5

2

2.5

3

LIDAR

Distance offshore (km)

Alt

itud

e (k

m)

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 50

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

LES

Distance offshore (km)

Alt

itud

e (k

m)

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 50

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

LES

Distance offshore (km)

Alt

itud

e (k

m)

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 50

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5

w in les181 at 7.5 m AGL, 1800 s

distance from shore (km)

dist

ance

(km

)

-6 -4 -2 0 2 4 6

0

0.5

1

1.5

-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5

dist

ance

(km

)

distance from shore (km)

w in les195 at 7.5 m AGL, 1800 s

-6 -4 -2 0 2 4 6

0

0.5

1

1.5

-200 0 200 400 600 800 1000 12000

0.2

0.4

0.6

0.8

11800 m offshore12 s time-lagsLES #195

Downwind Lag (m)

Cor

rela

tion

-300 -200 -100 0 100 200 3000

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Downwind Lag (m)

Cor

rela

tion

LIDAR LES A (#181)LES B (#195)

0 20 40 60 80 100 120 1400

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Time (s)

Cor

rela

tion

LIDAR LES A (#181)LES B (#195)

-1 0 1 2 3 44

5

6

7

8

9

10

11

Offshore Distance (km)

Win

d S

peed

(m

/s)

LIDAR LES A (#181)LES B (#195)

Acknowledgements: This work was made possible by NSF ATM9707165 and ARO DAAH-04-94-G-0195. Simulations were run on a J50 donated by IBM. Lidar measurements were made possible by Jim Hedrick, Patrick Ponsardin and Ralph Kuehn.

40

50

60

70

80

90

100

distance from shore (km)

alti

tude

(km

)

Relative humidity

-6 -4 -2 0 2 4 60

0.2

0.4

0.6

0.8

1

1

1.5

2

2.5

distance from shore (km)

alti

tude

(km

)

Scattering Enhancement Factor

-6 -4 -2 0 2 4 60

0.2

0.4

0.6

0.8

1

0

0.5

1

1.5

distance from shore (km)

alti

tude

(km

)

Passive Tracer (aerosol concentration)

-6 -4 -2 0 2 4 60

0.2

0.4

0.6

0.8

1

-1

-0.5

0

0.5

distance from shore (km)

alti

tude

(km

)

Simulated Lidar Backscatter

-6 -4 -2 0 2 4 60

0.2

0.4

0.6

0.8

1

For the simulations presented here:DOMAIN SIZE: 800x120x69=6.6 million pointsRESOLUTION: 15 m in all directionsTIME-STEP: 0.5 sINITIALIZATION: horizontally homogeneousSURFACE TEMPERATURE: -20 C (land) 5 C (water)

LESs explicitly simulate the eddies & plumes in a turbulent boundary layer that are responsible fortransporting heat, moisture, trace gases and momentum.

Autocorrelation using 40-scans

Cross-correlation using 24-secondscan separation

Cross-correlation using 48-secondscan separation

Cross-correlation using 72-secondscan separation

SUMMARY OF COMPARISON OF OBSERVATIONS WITH SIMULATIONS

RELATIVE HUMIDITY (%)

ONE RHI SCAN FROM LIDAR(EAST-WEST VERTICAL SLICE)

ONE EAST-WEST VERTICAL SLICE OF SIMULATED AEROSOL BACKSCATTER FROM MODEL RUN A

ONE EAST-WEST VERTICAL SLICE OF SIMULATED AEROSOL BACKSCATTER FROM MODEL RUN B

ONE PPI SCAN FROM LIDAR(HORIZONTAL SLICE AT 5-m ABOVE SURFACE)

1.8 km 4.5 km3.6 km2.7 km

ONE HORIZONTAL SLICE AT 7.5-m OF SIMULATED AEROSOL BACKSCATTER FROM MODEL RUN A

ONE HORIZONTAL SLICE AT 7.5-m OF SIMULATED AEROSOL BACKSCATTER FROM MODEL RUN B

TWO-DIMENSIONAL CROSS-CORRELATION FUNCTIONS OF AEROSOL BACKSCATTER ON HORIZONTAL PLANES AT GIVEN OFFSHORE DISTANCES

1800-m OFFSHORE CROSS-SECTION OF THE 2-D CORRELATION FUNCTION ALONG A

DOWNWIND ORIENTED AXIS

LIDAR

MODEL RUN B

MODELRUN A

-500 0 500 1000

0

0.2

0.4

0.6

0.8

1

Downwind distance (m)

Cor

rela

tion

-500 0 500 1000

0

0.2

0.4

0.6

0.8

1

Downwind distance (m)

Cor

rela

tion

-500 0 500 1000

0

0.2

0.4

0.6

0.8

1

Downwind distance (m)

Cor

rela

tion

-500 0 500 1000

0

0.2

0.4

0.6

0.8

1

Downwind distance (m)

Cor

rela

tion

0

0.2

0.4

0.6

0.8

1

Nor

th-s

outh

lag

(m)

East-west lag (m)-200 0 200 400 600

-400

-200

0

200

400

0

0.2

0.4

0.6

0.8

1

Nor

th-s

outh

lag

(m)

East-west lag (m)-200 0 200 400 600

-400

-200

0

200

400

0

0.2

0.4

0.6

0.8

1

Nor

th-s

outh

lag

(m)

East-west lag (m)-200 0 200 400 600

-400

-200

0

200

400

0

0.2

0.4

0.6

0.8

1

Nor

th-s

outh

lag

(m)

East-west lag (m)-200 0 200 400 600

-400

-200

0

200

400

The fundamental advantage of LES is its ability to explicitly calculate fluxes due to coherent structures. However, the modeled eddies can be sensitive to numerical methods. Conventional data lack the spatial and temporal resolution to evaluate the fidelity of the simulated structures.

Here we present two simulations that differ only by the numerical advection scheme.

In general, both simulations show spatial and temporal eddy-structure which is remarkably similar to the lidar data. However, these two simulations differ markedly near the lake-edge. In particular, run B shows more elongated structures than the lidar data. The structures in both simulations are tend to orientations aligned with the domain rather than the wind direction as shown in the lidar data.

The wind accelerates too rapidly as it leaves the shoreline in both simulations. This may be related to lack of shoreline topography in the model or errors in the initialization of the pressure-gradient. Our current simulations show large-eddies of only about half the mixed-layer depth developing over the 6-km fetch of land in the model.

WIND DIRECTION

0.0

0.1

0.2

VERTICAL VELOCITY (m/s)

VERTICAL VELOCITY (m/s)

The images above show vertical velocity across the entire model domain at 7.5 m above the surface. The advection scheme used in Model Run A encouraged fine-scale roll-circulations to develop farther upstream than the advection scheme used in Model Run B.