Title: The Structure of Thermals in Cumulus from Airborne DualDoppler Radar Observations
1The Structure of Thermals in Cumulus from
Airborne Dual-Doppler Radar Observations
Rick Damiani, UWyo
- Laramie, WY. July 11, 2005
2Summary
- 1. Why do we study thermals and cumulus?
- 2. How can we efficiently study thermals and
cumulus? - Dual-Doppler technique and sources of error
- 3. Observations of Cu kinematics in vertical
planes - Cloud microphysical kinematic structure
- Entrainment patterns
- Model of cloud growth
- 4. Observations of Cu kinematics in horizontal
planes - Extension of the conceptual model of thermals and
Cus - 5. What have we learned? What more do we seek?
3Why thermals and shallow Cus
- They have been studied for more than 50 years
- first investigations of cumulus Stommel(1947),
Squires (1958), Warner (1977) - initial thorough studies on thermals Scorer and
Ludlam (1953)
- We still know very little about how they really
work - Entrainment? Where, what scales, how?
- Model of cloud evolution/growth? Plumes/Thermals?
4Why thermals and shallow Cus
- Are they not fair weather clouds?
- They rarely produce precipitation or severe
weather
- Shallow convection and cumulus are the basic
elements of larger-scale convection, i.e. the
fundamentals for weather and cloud
over-development
5Why thermals and shallow Cus
- Are they not small enough to be ignored?
- Small scale features, mostly rooted on
local/regional convection scales and micro-scale
atmospheric phenomena
- They redistribute momentum, heat, and moisture in
the lower troposhere, impacting energy and
radiation budgets - GCMs and NWPs need to take into account the
effects of shallow cumulus convection - Relevant to air chemistry and aerosol research
for mixing of chemical species in the lower
troposphere and limited scavenging via
precipitation
6Why thermals and shallow Cus
For FUN!
7How can we investigate thermals and
Cus?Airborne Doppler radar in situ
WCR/UWKA
- Increased coverage
- Multidimensional investigation
- Fine resolution
- Direct comparison with flight-level data
8WCR specs.
9WCR/UWKA Airborne fine-scale dual-Doppler
- The effective plane of scan also depends on the
AC attitude
10WCR Airborne single-Doppler configurations
- Profiling Mode (Up/Dwn) is achieved by
redirecting the HBDD beam1 upward via mirror
plate - Side/dwn mode is achieved using beam 1 from both
HBDD and VPDD configurations
11Airborne Dual-Doppler Basic Concept
- Time lag ?t1 - 19 s
- Lifetime of physical features assumed greater
than ?t - Plane of the beams determines the resolvable
components of the velocity
12Dual-Doppler Technique
- 0. Determine beam directional angles with respect
to the airframe - Select the flight segment suitable for a
dual-Doppler retrieval - Read synchronize data from WCR and AC data
system - Apply calibration and thresholding to the
reflectivity data - Correct retrieved Doppler velocities for Aircraft
motion, via INS (Inertial Navigation System) GPS
data - Resolve Doppler aliasing
- Transform each data point from both beams to a
common coordinate system - Construct a grid (mesh) onto which the data from
the two beams will be interpolated. The grid
advects with the estimated mean wind velocity
field - Weight data points from each beam in the vicinity
of every grid point according to selected
criteria - Solve the velocity inverse decomposition (VID)
problem determine the velocity for each grid
point from the measured components - Store grid and processing statistics and
information parameters
13Dual-Doppler Technique Gridding
- Straight-leg gridding The grid can be
constructed in a vertical (VPDD) or horizontal
(HBDD) plane - Curtain-leg gridding The grid can be made to
strictly follow the surfaces scanned by the
beams, depending on the flight attitude, e.g.
14Dual-Doppler TechniqueBeam-point assignment
- The generic beam-point (profile,rangegate
(i.e.,r)), and associated with a curvilinear
coordinate s, is assigned to a grid cell (i,j)
according to the following first index guess
Straight-beams Slanted-beams
Dx0 Dh0 initial cell size, i angle between beams
and according to index tolerances depending on
the AC attitude
Index search tolerances
For grid cell size stretching ratiosltgt1 formulas
are more complex (DH05)
15Dual-Doppler TechniqueBeam-Point Weighting
- The generic beam-point within the cell (i,j) is
weighted according to SNR, and its geometry
(EXW,Cressman, IDW, etc.) and/or Beam Skewness
(BSW)
BSW weighting
EXW
Cressman
IDW
16Dual-Doppler TechniqueVelocity Inverse
Decomposition Problem
Minimum Norm Least-Square Solution
overdetermined, rank deficient
External guess on the winds
Cross-plane component
17Dual-Doppler TechniqueError Sources
- The absolute velocity of a scatterer (P) can be
decomposed as
I. Errors in the radial velocity
- Beam pointing angle uncertainties
- Beam reciprocal misalignment
- Attenuation/Side-lobe
- Finite pulse-resolution volume (Doppler spectrum
width) - Temporal evolution/advection effects
The radial velocity is
- II. Errors affecting the 2D retrieved velocity
- Velocity inverse decomposition (VID) solver
- Wind cross-plane component
- Terminal velocities/ mean advection (in case of
storm-relative kinematics)
- III. Errors affecting the grid
- Grid orientation
- Feature distortion
18Dual-Doppler TechniqueRadial Velocity Error
Sources
- Platform motion and beam pointing angles
is the platform ground velocity
beam pointing angle uncertainty
Error in the gradient of a variable q
19Dual-Doppler TechniqueRadial Velocity Error
Sources
- 2. Beam reciprocal misalignment
Sideslip or aoa deviation from straight level
flight
Slanted-pointing beam radial velocity error
kv (slanted)radial velocity gradient in the
across-track direction
Grid swath and radar volume resolution degrading
with range can partially overcome these errors
20Dual-Doppler TechniqueRadial Velocity Error
Sources
- 3. LWC attenuation and sidelobe
LWC attenuation
rs rangegate spacing
Attenuation coefficient linear with range
Radial velocity linear with range
Backscattering coeff. linear with range
kv,x0.005s-1, kr,x 0.04dBZm-1
SideLobes
kv,x radial velocity shear across-beam
direction kr,x reflectivity gradient in the
across-beam direction
Kl-20dB dl2º
For typical operational conditions ev,3 , ev,4
lt0.05 m s-1
21Dual-Doppler TechniqueRadial Velocity Error
Sources
- 4. Finite (pulse) Resolution Volume
Error in the mean Doppler as a fct. of Mpp and
Doppler spectral width (std dev)
shear,fall velocities, platform, turbulence
SNR weighting
(Doviak and Zrnic,1993)
22Dual-Doppler TechniqueRadial Velocity Error
Sources
- 5. Temporal evolution and advection effects
Dunaccounted displacement of scattererstx(v-vadv
). Shear effect included. tTime lapse between
illuminations 1-19s
Slanted-pointing beam radial velocity error
kv (slanted)radial velocity gradient in the along
or across-track direction
- Lagrangian flight trajectories should help reduce
the error. - 5m/s error in the advection could cause up to one
grid spacing error at rangesgt2Km. - Limitation on the scale of turbulent features
resolvable. The DD cannot resolve scales less
than 2Dg (Nyquist). - Mitigation due to multiple points within one
cell. - A coarser resolution (at larger ranges,i.e.
stretching) can curb the errors, but decreases
fine-scale capturing.
23Dual-Doppler TechniqueError Propagation VID
solver
- Least-squares error upper bound estimates
(1)
(Lawson, 1974)
(2)
Example congestus case
Assumption all the errors in the radial
velocities are root-squared-summed
24Dual-Doppler TechniqueOther Errors
- Error due to errors in the wind velocity
estimate along the normal to the solution plane
propagating into the grid plane - Estimated w.r.t. std dev AC attitude
2. Terminal velocities and mean advection
(relative kinematics)
25Dual-Doppler TechniqueErrors Summary
26Dual-Doppler Technique A case study.
Norm of the residual vector 0.1m/s
expected
upper bounds
27Dual-Doppler Technique A case study.
Norm of the residual vector 0.1m/s
Average 1.9m/s
28Dual-Doppler Technique A case study.
29Terminal velocity
30Cumulus studies
Cumulus growth model
Observations background
- Cumulus Congestus
- Dry, cold environment (bases 0ºC, tops-25ºC)
- Depth 2-3 km. AR1
- Vertical velocities 10m/s
- Focus on emerging turrets
- Neutrally stable environment over land
- Kinematics and microphysics
- Radar echo vs. velocity fields
- Entrainment patterns
- Length/time scales of the main kinematic
structures - Updraft/downdraft arrangement
- Insights in the 3D mechanics of growing turrets
31Conceptual Model of Cu Growth
- Major vorticity structures
- Role on entrainment
- Role of the cross-flow (shear)
32Conceptual Models of Thermals and Cus
(Scorer, 1957)
Rising Vortex Ring
(Blyth, 1988)
33Models
Kitchen and Caughey (1981)
Grabowski and Clark (1993)
34WCR cloud scanning modes
Up/Down profiling mode
Vertical Plane Dual-Doppler
Horizontal Beam Dual-Doppler
35Up/Down Profiling Mode
Ice (iwc) and liquid water content (lwc100)
gust-probe vertical velocity 1-s gust vectors
- Convergence and lwc drop indicate ambient air
entrainment driven by the circulation.
AC
WCR retrieved vertical velocity reflectivity
AC
Flight level
36Up/Down Profiling Mode
Density temperature (Tr) and liquid water content
(lwc100)
gust-probe vertical velocity 1-s gust vectors
- Cloud base thermodynamics (initial stages of
cloud formation) - Thermal base convergence and entrainment
WCR retrieved vertical velocity reflectivity
37VPDD
20030826, 1820UTC
- Toroidal circulation
- Convergence at the base of the thermal
- Hydrometeor recycling at the base of the thermal
- Small scale (nodes) at cloud-top
(Damiani et al., 2005, JAS, submitted)
38VPDD
s-1
20030826, 1820UTC
- Horizontal component of Vorticity
- Independent of mean advection
39VPDD
20030826, 1823UTC
- Counter-rotating vortex pair visible at
cloud-top. - Multi-thermal nature
- Convergence at the base of the thermal
- Wake flow
- Evidence of intrusions
40VPDD
- Ambient air intrusion at the base of the thermal
- Hydrometeor recycling
41Conceptual Model of Cu Growth
asymmetric vorticity structures in stronger winds
(and shear) tilted vortex rings
42VPDD
20030717, 2142UTC
43VPDD
- Ambient shear effects
- Tilted vortex rings?
44Conceptual Model of Cu Growth Dynamics
45Conceptual Model of Thermals Cus
- Multi-Thermal Cumulus
- Toroidal thermals
- Convergence at the base of the thermals and
entrainment/recycling - Shear? tilting of the main vortical structures,
asymmetry
46Extension of the Conceptual Model of Cu Growth
horizontal cross-sections
47Coupling between vertical and horizontal
kinematics
48HBDD
20030717, 2050UTC
- Z and v Gradients comparable to those observed in
the vertical - Vertical vorticity and hydrometeor distribution
- Entrainment patterns
- Divergence (thermal top?)
49Divergence/Flux Calculation
- Vertical velocity 5m/s based on cloud
penetration data - Radius of the thermal 300-500
- Assuming vertical uniformity in 100m
- ?outgoing flux ? 40-60 incoming flux
- Rate of rise of the thermal ? ½ updraft speed
- (further confirmed by observations of echo-top
evolution, - and the findings by Woodward (1959) Turner
(1962) Zhao and Austin (2005), etc.)
50Outgoing flux
- Assumed vertical velocity 5m/s
- Thermal radius 370m
- Lateral surface height 45m
- ?outgoing flux 20 incoming
- out/in ltvgt/R.
- height more likely in the order of 100m
- (based on radar scanned volume and AC attitude).
- ?Rate of rise of the thermal in the order of 50
wcore (French99, Telford 1988, Turner 1962)
Aug 26th, 2003
51In-situ evidence of vertical vorticity
- Analysis of the horizontal flow
- Circulations in the horizontal plane tied to
those in the vertical?
20030719, 1945UTC
52Investigating the source of vertical vorticity
20030720, 1903UTC
53Vertical vorticity generation
20030720, 1906UTC
Mean wind
- Vortical structures in agreement with in situ
observations - Reduced horizontal momentum in the updraft core
(flow against flight-level mean wind direction)
54Vertical vorticity generation
20030720, 1957UTC
55Vertical vorticity generation
20030720, 2001UTC
56Vertical Vorticity Generation
diffusion
transport
wz
tilting
stretching
Core vorticity.08s-1, tilt30º.
- Vortex ring tilting a possible mechanism to
generate vertical vorticity (wz) in
counter-rotating vortex pairs (CVP). - Other mechanisms include CVP forming at the sides
of a plume in cross-flow, and thermal-to-thermal
interaction
57Torques acting on the updraft
MKJ/Msh 1-2
Chang and Vakili(1995)
58HBDD
59Conclusions. 1
- Airborne dual-Doppler technique
- High-resolution (30-50m), fine-scale capturing
- Dynamic gridding (close tracking of AC flight
attitude scanned surface) - VID stable weighted least-squares solver (smooth
fields without further filtering) - Sources of error discussed and quantified for
WCR/UWKA. They depend on the radar system, data
collection process, retrieval technique, and
target aspects. - Overall accuracy 1-2m/s.
60Conclusions. 2
- Cumulus studies
- Cumulus formed by sequences of updraft pulses
- 2-3 thermal events per congestus
- Updraft weak reflectivities and liquid droplets.
Most of ice particles in the downdrafts - Toroidal thermals as the main building block
long-lived circulations (seen in 58 of the 41
cases investigated) - Convergence at the base of the thermals and
entrainment, recycling of hydrometeors - Secondary entrainment sites at cloud outer
boundaries - Shear? tilting of the main vortical structures,
asymmetry
61Conclusions. 3
- Gradients of Z and v are comparable between
horizontal and vertical planes - Reflectivity in the horizontal plane reflects
multi-thermal nature of Cus and confirms the
role played by circulations in organizing
hydrometeor distribution - Divergence associated with thermal tops lead to
an estimated rate of rise 0.5max(updraft speed) - The vortical kinematics is fundamental in driving
entrainment both in the vertical and horizontal
plane - Vertical vorticity present in CVP at the
periphery of the updrafts ? tilting of vortex
rings
62(No Transcript)
63What else do we need?
- Future investigations will focus on the
kinematics characteristics shown - Higher sensitivity
- Multiple scans in alternate modes (3D)
- Background/environmental properties need be
assessed with more accuracy (local soundings!!) - Quantification of entrainment (multiple
platforms) - Parameterization inputs (Entrainment,
Detrainment)
Questions?
64HighPlains Cumulus (HiCu)Field Experiment
- Time and Location
- Summer 2003 Laramie, WY
- (Summer 2002 Flagstaff, AZ)
- Objective
- Investigation of Shallow Cumulus dynamics and
microphysics interaction - Tools UWKingAir WCR
- Gordon G., Glover B., Fagerstrom K., Drew T.,
Kelly R., Snider J., Vali G., Haimov S., Lukens
D., Ray D., Damiani R. - Cases presented Aug 26th and Jul 12th,13th 2003
(Telford, 1988)
65need for straight leveled flight
HBDD
VPDD
- Spatial misalignment
- f(roll,pitch,yaw)
- e.g.5ºroll?260m
- 15ºroll?780m
66Dual-Doppler in-situ
HiCu03 Aug26th VPDD 182200-182310
67July 13th HBDD initial stages
68July 13th HBDD final stages
69Dual-Doppler Retrieval
- Aircraft motion removal and velocity unfolding
- Data Regridding (advecting grid) and weighting
- Velocity decomposition inverse problem return
signals associated with two radar antennas are
combined together to provide independent
components of the scatterers' mean velocity in a
given illuminated volume.
System (1) is solved by a weighted least-squares
method using an estimate of the cross-plane'
component, usually derived from in-situ-measured
horizontal winds. The overall uncertainty
associated with the evaluation of the
cross-plane component contribution, beam
pointing angles and removal of the UWKA motion is
in the order of 1 m/s at WCR signal-to-noise
ratio gt 0 dB.
70Dual-Doppler Velocity retrieval Weighted
Least-Square Method
SVDC
weighting/thresholding
Minimum Norm Least-Square Solution
Cross-plane component