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Observing boundary layer properties with Doppler lidar for - - PowerPoint PPT Presentation

Observing boundary layer properties with Doppler lidar for mass-balance estimates of greenhouse gas emissions R. Michael Hardesty, Wm Alan Brewer, Robert Banta, Christoph Senff, Scott Sandberg, Raul Alvarez, Ann Weickmann, Colm Sweeney, Anna


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  • R. Michael Hardesty, Wm Alan Brewer, Robert Banta,

Christoph Senff, Scott Sandberg, Raul Alvarez, Ann Weickmann, Colm Sweeney, Anna Karion, Gabrielle Petron, Kenneth Davis, Paul Shepson, James Whetstone

Observing boundary layer properties with Doppler lidar for mass-balance estimates

  • f greenhouse gas emissions

GMD Annual Meeting 22 May 2013

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Mass-balance estimates of emissions: what boundary layer properties do we need to know?

Computing emissions

  • Time history of the wind speed and direction
  • Evolution of the mixing layer
  • Presence of a residual layer

Enhanced VOCs, CH4 Wind Wind

Daily flight planning

  • Wind speed/direction
  • Mixing layer depth
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Mass-balance estimates and evolution of the boundary layer

  • Mixing layer depth is well-defined during morning and early

afternoon as boundary layer grows and heating is maintained

  • During middle to late afternoon heating diminishes and depth

becomes more difficult as residual layers form

  • Probably best to fly around mid-day

Nocturnal LLJ

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Doppler lidar sensing of mixing layer height

Vertical Velocity Variance (Hogan et al, JAS) Horizontal wind profile Aerosol structure

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NOAA High Resolution Doppler Lidar HRDL

Wavelength : 2 microns (invisible/eyesafe) Resolution : 30m (along beam) / 2 Hz Scanning : Full Hemispheric Max Range : 4-5km typ Wavelength : 2 microns (invisible/eyesafe) Resolution : 30m (along beam) / 1-2 Hz Scanning : Full hemispheric Max Range : 4-5 km typical Surface, air, and shipboard deployments Runs autonomously and continuously

NOAA High Resolution Doppler Lidar HRDL

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SLIDE 6

20 minute repeating scan pattern

PPI Shallow RHI Vertical

minutes 10 20 min

Scanning for boundary layer characterization

  • Scan sequence repeats every 20 minutes
  • Combination of scans and staring
  • vertical stare (10 minutes)
  • conical scans: 2°,4°, 25°, 45° (7 minutes)
  • vertical scans: 2 orthogonal (3 minutes)
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Wind profiles every 20 minutes - From within a few meters of the ground through the top of the BL 5-15 m vertical resolution

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Vertical velocities : form statistics from repeating 10

minute collection periods

3000 3000 1500 1500 Ht (m) Ht (m) 12:00 24:00 18:00 Time (UTC) Time (UTC) 0:00 06:00 12:00

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Boundary Layer Development

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Vertical velocity variance Aerosol Wind Speed Vertical velocity skewness Wind Direction

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Residual layers: Denver-Julesburg

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Lidar characterization of the boundary layer for INFLUX

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Installation at Ivy Tech Community College NE

  • f Indianapolis
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Current Status

  • Doppler lidars have been deployed in 5 experiments to

characterize boundary layer depth and dynamics for greenhouse gas emissions measurement – Unitah Basin 2012 – Denver-Julesburg 2012 – Uintah Basin 2013 – Barnett Shale 2013 – INFLUX 2012

  • A commercial mini Doppler lidar is installed at

Indianapolis for INFLUX and is operating

  • Some receiver problems at low signal level are being

investigated

  • We’re currently pursuing algorithms for automated

estimates of mixing layer depth

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SLIDE 15

Backups

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Coauthors:

  • R. M. Hardesty, W. A. Brewer, R. M. Banta, A. O. Langford, R. J.

Alvarez II, S. P. Sandberg, A. M. Weickmann, R. D. Marchbanks, A. Karion, C. Sweeney, G. Petron NOAA Twin Otter flight crews & NOAA Aircraft Operations Center Steven Conley, UC Davis, Mooney AC Pilot NOAA Health of the Atmosphere Program Uintah Impact Mitigation Special Service District, Western Energy Alliance, BLM, EPA, NSF, State of Utah

Acknowledgement

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SLIDE 17

Sunrise Noon Sunset Sunrise Residual Layer Residual Layer Stable (nocturnal) Layer 2000 1500 1000 500 Inversion

Height (meters)

Adapted from Introduction to Boundary Layer Meteorology -R.B. Stull, 1988

Convective Mixed Layer Stable (nocturnal) Layer

Atmospheric Boundary Layer Diurnal Variation

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SLIDE 18

1 m vert res

Stacked PPIs for wind profiling

5 m vert res 15 m vert res

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Methane Flux downwind of Oil & Gas Operations

(Uintah Basin Winter Ozone Study 2012) Methane

Airborne in situ observations

Wind profiles/Mixing height

Ground-based High Resolution Doppler Lidar (HRDL)

Mooney TLS-20

Scientific Aviation, Inc.

NO2 CH4, CO2, H2O Flasks (50+ species) O3

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Uintah Basin, Utah

Colorado Utah Uintah Co. Duschesne Co.

gas wells

(Google Earth)

Horse Pool Bonanza Creek Power Plant

  • il wells

~60 km

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Horse Pool (HRDL lidar) Back trajectory Vertical profiles

3 Feb 2012: Aircraft CH4 measurements

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Flight track distance perpendicular to wind (km) (x cos θ)

CH4 (ppb)

downwind upwind

3 Feb 2012: Aircraft CH4 measurements

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Altitude , m AGL Wind speed , m/s

3 Feb 2012: HRDL lidar observations

Wind Speed and Direction Mixing height

Altitude , m AGL

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Uintah Basin: Methane emissions estimates

Date ΔXCH4 , ppbv Wind speed , m/s PBL depth , m AGL CH4 mass flux , metric tons/h Relative Uncertainty 3 Feb 2012 56 5.2 1700 56±15 28% 7 Feb 2012 245 1.2 700 30±19 62%

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One minute to form horizontal variance profiles, cover from the ground though cloud base. Samples scales of 30m – 6km.

Horizontal Velocities : Spatial variability

Height (km) Height (km) 0 1 2 3 4 5 6 0 1 2 3 4 5 6 Range (km) Horizontal Velocity (ms-1)

1.5 1.5 3

  • 3

3

  • 3
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Halo – HRDL comparisons

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Calculating wind profile from PPI scans

Wind Speed Wind Direction