some fundamentals of doppler radar velocity analysis
DESCRIPTION
L. Jay Miller (May 2011) Data Preparation and Gridding for Wind Synthesis Using REORDER, SPRINT, and CEDRIC PROGRAMS. Some Fundamentals of Doppler Radar Velocity Analysis. TRADITIONAL FORMULATION. - PowerPoint PPT PresentationTRANSCRIPT
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Some Fundamentals of Doppler Radar Velocity Analysis
L. Jay Miller (May 2011)
Data Preparation and Gridding for Wind Synthesis
Using REORDER, SPRINT, and CEDRIC PROGRAMS
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TRADITIONAL FORMULATION Radial velocity is projection of particle motion
(u,v,w+Vt) onto radar beam (A,E) at several ranges [Vr = (u*sinA + v*cosA)*cosE + W*sinE]
Map measurements from (R,A,E) to Cartesian (x,y,z) or coplane (r,s,c) analysis domain
Correct each radar for fallspeed contribution
Vt = a*(Z^b) * (density correction) Solve 2 or 3 equations Vr = Vr(u,v) or Vr(u,v,w) Include mass continuity equation to obtain the
vertical air motion
Specify boundary conditions (upper and lower)
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Considerations before Gridding Develop overview of radar scans in context of
research goals
Display with SOLOII or CIDD or similar program Select radar(s) to be used in wind synthesis Operations in radar sample space before
gridding (asymmetries in pulse volume shape)
Preliminary Range-Angle filling and filtering
Correct for fall-speed contribution to Vr Formats readable by NCAR gridders
REORDER – Universal and Dorade sweep files
SPRINT – Older RP2-7, Universal, Dorade, and NEXRAD Level II (Build 9, MSG1; pre-MSG30)
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STEPS 2000 Triple-Doppler Radar NetworkSevere Thunderstorm Electrification
and Precipitation Study
CSU/CHILL KGLD
SPOL
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Central Plains Composite 2000.0629.2330
Tornadic (F1) Storm
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KGLD DZ Swath 2000.0629
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Considerations for Gridding Identify characteristics of radar scans
Azimuth-Elevation angle bounds and increments
Range-Height bounds Determine fields to be interpolated
Radar measured fields (DZ, VE, SW, …)
Ancillary fields (AZ, EL, TIME, …) Determine latitudes, longitudes of origin and
radar(s) to obtain their grid locations Decide on output grids common to radars
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Considerations for Gridding (cont'd) Issues that control fields to be gridded
Degree of space-time overlap of radar scans
Types and durations of scans (ppi, rhi, …)
Radars (ground-based research, operational, and airborne)
CEDRIC formulation of wind synthesis
Advection needs time field
Airborne needs azimuth and elevation angles
Gridder to be used (SPRINT or REORDER)
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Local ENU-ECEF
ENU – local tangent plane
ECEF – Center of the Earth
X along prime meridian (0 deg reference dividing East and West longitudes at the equator)
Z points to North Pole
Lambda – longitude of local point
Phi – latitude of local point
Spherical Earth with 4/3 radius
*Convert radar lat-lon-height to Cartesian coordinates of common output grid
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REORDER ALGORITHM Region of influence (box)
Cartesian (xyz radii or box half-dimensions)
Spherical (rae radii dependent on slant range)
Hybrid (Cartesian until exceeded by Spherical) Filter or distance-weighting scheme applied to
all measured values inside the box
Cressman (Rsq – rsq)/(Rsq + rsq)
Exponential [exp(-a*rsq/Rsq)Big Rsq – sum of box radii squared
Little rsq – squared distance (RAE sample – XYZ grid)
Uniform weighting and closest point
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REORDER RADII of INFLUENCE Cartesian radii: (xradius, yradius, zradius)
If xradius = 0, then xradius = yradius
Map into cartesian (dx, dy, dz) box Spherical radii: (rgradius, azradius, elradius)
Always map into cartesian (dx, dy, dz) box
User inputs (azradius, elradius) in degrees
dy (dz) = range*[azradius (elradius) in radians]
If rgradius = 0, dx = range*(azradius in radians)
If rgradius > 0, then dx = constant rgradius km Hybrid radii: Uses cartesian radii until spherical
radii are bigger, then shifts to spherical
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ORIENTATION of GRIDDING BOXESREORDER* Prefer SPRINT-LIKE
*Inner (outer) box – Fixed (range-dependent) size
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KGLD – REORDER (part 1)
DATA LOCATION & RADAR
XYZ Grid
LAT/LON/ALT
Grid (G)Radar (R)
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KGLD – REORDER (part 2)
XYZ Radii
BOX Dimensions
WEIGHTS
RAE Radii
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KGLD – REORDER (part 3)
Fields to be Interpolated
Data Quality
Study VolumeTime Interval
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SPRINT ALGORITHM Successive linear
interpolations in the R, A, E directions
Uses 8 RAE sample gates surrounding the output grid point
Two ranges
Two azimuths
Two elevations XYZ, XYE, XYC, LLZ,
or LLE
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KGLD – SPRINT Input (part 1)
INPUT DATA LAT/LON/ALT
2D FILTER Range-Angle
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KGLD – Sprint Input (part 2)
DATE-TIME
VE PassVE Pass
DZ Pass
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Regions Influencing Output FieldsXY output grid
(Big +s)
RA sampling locations (Little +s)
REORDER circles for
Cartesian radii
SPRINTRA Cells
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LOCAL UNFOLDING & QUALNOTE: Currently Reorder and Sprint use standard deviation rather than velocity variance and output 100*Q. M below is the number of range gates in a range slab (for Sprint M = 2). QUAL includes only those velocities used for individual output grid point.
NOTE
Va = 2*Vn
Ue = Local estimate atoutput XYZ
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COordinated coPLANar ScanningModify elevation angle: tan (E) = tan (coplan angle) * abs [sin (A -Ab)]
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COPLAN Interpolation with SPRINT and Winds with CEDRIC
Two-dimensional Winds: Orthogonalize V1 and V2 into Ur and Us
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SPOL – REORDER Scan Information
Elevation Angles
Azimuthal Spacing
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SPOL – SPRINT Scan Table
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SPOL Scan Characteristics
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CSU/CHILL – REORDER Scan Info
Azimuthal Spacing
Elevation Angles
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CSU/CHILL – SPRINT Scan Table
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CSU/CHILL Scan Characteristics
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KGLD – REORDER Scan Information
Elevation Angles
Azimuthal Spacing
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KGLD – SPRINT Scan Table
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KGLD Scan Characteristics
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SPOL - PPI (RAE) vs CEDRIC (XYE)
DZ @ E=0.5 deg
XYE - Threshold at LDR < -6
VE @ E=0.5 deg
Both – Threshold at LDR < -6
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SPOL -Sprint vs Reorder (DZ)Z = 2.5 km MSL
UL = SPRINT
UR = REORDERCRE-XYZ radii0.5-0.5-1.0 km
LL = REORDEREXP-RAE radii
0.2-1.0-1.0 km-dg
LR = REORDERCRE-RAE radii0.0-1.0-1.0 deg
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SPOL – Sprint vs Reorder (DZ)Z = 7.5 km MSL
UL = SPRINT
UR = REORDERCRE-XYZ radii0.5-0.5-1.0 km
LL = REORDEREXP-RAE radii
0.2-1.0-1.0 km-dg
LR = REORDERCRE-RAE radii0.0-1.0-1.0 deg
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SPOL – Sprint vs Reorder (DZ)Z = 13.5 km MSL
UL = SPRINT
UR = REORDERCRE-XYZ radii0.5-0.5-1.0 km
LL = REORDEREXP-RAE radii
0.2-1.0-1.0 km-dg
LR = REORDERCRE-RAE radii0.0-1.0-1.0 deg
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Global Unfolding with CEDRICTemplate creation and cleanup
Preliminary unfold with vertical profile of VE Additional steps to further unfold
AUTO – Decimate, global fill, and unfold AUTOTEMP – Propagate away from LEVEL AUTOFILL – Like AUTOTEMP, propagate and fill
Unfold VE → VEUF using the above template Decimate, filter, and fill with multiple PATCHER
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SPOL – Sprint vs Reorder (VE)Z = 2.5 km MSL
UL = SPRINT
UR = REORDERCRE-XYZ radii0.5-0.5-1.0 km
LL = REORDEREXP-RAE radii
0.2-1.0-1.0 km-dg
LR = REORDERCRE-RAE radii0.0-1.0-1.0 deg
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SPOL – Sprint vs Reorder (VEUF)Z = 2.5 km MSL
UL = SPRINT
UR = REORDERCRE-XYZ radii0.5-0.5-1.0 km
LL = REORDEREXP-RAE radii
0.2-1.0-1.0 km-dg
LR = REORDERCRE-RAE radii0.0-1.0-1.0 deg
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SPOL – Sprint vs Reorder (VE)Z = 7.5 km MSL
UL = SPRINT
UR = REORDERCRE-XYZ radii0.5-0.5-1.0 km
LL = REORDEREXP-RAE radii
0.2-1.0-1.0 km-dg
LR = REORDERCRE-RAE radii0.0-1.0-1.0 deg
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SPOL-Sprint vs Reorder (VEUF)Z = 7.5 km MSL
UL = SPRINT
UR = REORDERCRE-XYZ radii0.5-0.5-1.0 km
LL = REORDEREXP-RAE radii
0.2-1.0-1.0 km-dg
LR = REORDERCRE-RAE radii0.0-1.0-1.0 deg
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SPOL – Sprint vs Reorder (VE)Z = 13.5 km
UL = SPRINT
UR = REORDERCRE-XYZ radii0.5-0.5-1.0 km
LL = REORDEREXP-RAE radii
0.2-1.0-1.0 km-dg
LR = REORDERCRE-RAE radii0.0-1.0-1.0 deg
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SPOL – Sprint vs Reorder (VEUF)Z = 13.5 km MSL
UL = SPRINT
UR = REORDERCRE-XYZ radii0.5-0.5-1.0 km
LL = REORDEREXP-RAE radii
0.2-1.0-1.0 km-dg
LR = REORDERCRE-RAE radii0.0-1.0-1.0 deg
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Horizontal-Vertical Resolutionfrom Range-Elevation Angle Resolution
Elevation dR*sinE RdE*cosE dR*cosE - RdE*sinE
90 1.00*dR 0.00 0.00 - 1.00*RdE
75 0.97*dR 0.24*RdE 0.24*dR - 0.97*RdE
60 0.87*dR 0.50*RdE 0.50*dR - 0.87*RdE
45 0.71*dR 0.71*RdE 0.71*dR - 0.71*RdE
30 0.50*dR 0.87*RdE 0.87*dR - 0.50*RdE
20 0.34*dR 0.94*RdE 0.94*dR - 0.34*RdE
10 0.17*dR 0.98*RdE 0.98*dR - 0.17*RdE
0 0.00 1.00*RdE 1.00*dR 0.00
Z = R*sinEdZ = dR*sinE + RdE*cosE
H = R*cosEdH = dR*cosE - RdE*sinE
dZ ~ RdE @ 0 to dR @ 90 dH ~ dR @ 0 to RdE @ 90
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Summary Comparison of Reorder and Sprint
REORDER SPRINT
SCHEME: DISTANCE-WEIGHTING TRI-LINEAR INTERPOLATION CLOSEST POINT CLOSEST POINT UNIFORM-WEIGHTING
REGION OF INFLUENCE: USER-SPECIFIED RADII LOCALLY ADAPTIVE XYZ-ORIENTED RAE-ORIENTED
CONSEQUENCES: CONSTANT LINEAR SCALE UNEQUAL LINEAR SCALE UNEQUAL ERROR CONSTANT ERROR
GROUND-BASED (AIRBORNE) OUTPUT GRID ORIENTATION: USER SPECIFIES + X AZIMUTH USER SPECIFIES + X AZIMUTH (USER-SPECIFIES + X AZIMUTH) (+ X – OUT RIGHT SIDE)
(+ Y – FLIGHT DIRECTION)
(ROTATE TO SPECIFIED + X AZIMUTH)