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Prediction of Frontogenetically Forced Precipitation Bands

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PREDICTION OF FRONTOGENETICALLY FORCED<br />

PRECIPITATION BANDS<br />

PETER C. BANACOS<br />

NWS / Storm <strong>Prediction</strong> Center<br />

WDTB Winter Weather Workshop IV<br />

Boulder, CO ~ 23 July 2003


OUTLINE<br />

I. Frontogenesis<br />

• …where it fits in the forecast process<br />

• kinematics and dynamics <strong>of</strong> frontogenesis<br />

• synoptic pattern recognition<br />

• Case #1 – examine band formation<br />

II.<br />

Mesoscale Banding Characteristics<br />

• modulation by local wind pr<strong>of</strong>ile<br />

• col point al<strong>of</strong>t<br />

• modulation by stability<br />

• Case #2 – numerical model considerations


INGREDIENTS BASED FORECASTING<br />

Purpose: To focus the forecaster on the necessary conditions (“ingredients”) needed for a<br />

specific meteorological event to take place.<br />

Frontogenesis is a lifting/forcing mechanism.


Frontogenesis (definition)<br />

F<br />

=<br />

D<br />

Dt<br />

∇pθ<br />

(S. Petterssen 1936)<br />

‣ The 2-D scalar frontogenesis function (F ) – quantifies the change in<br />

horizontal (potential) temperature gradient following air parcel motion :<br />

F > 0 frontogenesis, F < 0 frontolysis<br />

‣ Conceptually, the local change in horizontal temperature gradient near<br />

an existing front, baroclinic zone, or feature as it moves.


Vector Frontogenesis Function<br />

F<br />

=<br />

F n +<br />

n<br />

F<br />

s<br />

s<br />

(Keyser et al. 1988, 1992)<br />

D<br />

F n = − ∇pθ<br />

Dt<br />

D<br />

F s = n ⋅( k × ∇pθ<br />

)<br />

Dt<br />

F is <strong>of</strong> fundamental importance…<br />

Change in magnitude<br />

‣ Corresponds to vertical motion on the frontal scale<br />

(mesoscale bands)<br />

Change in direction (rotation)<br />

‣ Corresponds to vertical motion on the scale <strong>of</strong> the<br />

baroclinic wave itself<br />

‣ Galilean invariant<br />

‣ full wind generalization <strong>of</strong> the quasi-geostrophic Q-vector


Kinematics <strong>of</strong> Frontogenesis<br />

The geometry <strong>of</strong> the horizontal flow has a first-order influence on F in most<br />

situations.<br />

Examine separate contributions <strong>of</strong><br />

horizontal divergence, deformation,<br />

and vorticity to the field <strong>of</strong><br />

frontogenesis.<br />

Note: Will focus exclusively on the Petterssen 2-D scalar<br />

(F n )<br />

frontogenesis


Horizontal Divergence<br />

Divergence (Convergence) acts frontolytically (frontogenetically),<br />

always, irrespective <strong>of</strong> isotherm orientation.<br />

F0


Horizontal Deformation<br />

F>0<br />

Flow fields involving deformation acting<br />

frontogenetically are prominent in the majority<br />

<strong>of</strong> banded precipitation cases.


Horizontal Deformation (cont.)<br />

F


Vertical Vorticity<br />

F=0<br />

Pure vorticity acts to rotate isotherms, cannot<br />

tighten or weaken them.


Other Contributing Factors to Frontogenesis<br />

The kinematic field, and deformation in particular, plays the<br />

most prominent role in the 2-D frontogenesis al<strong>of</strong>t.<br />

Other processes such as diabatic heating and tilting effects may<br />

also contribute to frontogenesis.<br />

Examples:<br />

‣ differential solar heating<br />

‣ Latent heating with convective motions<br />

(documented in coastal frontogenesis process).


Dynamics <strong>of</strong> Frontogenesis<br />

(vertical circulation)<br />

Flow field<br />

dominated by<br />

deformation.


Dynamics <strong>of</strong> Frontogenesis (cont.)<br />

Ageostrophic circulation develops as a response to increasing<br />

temperature gradient.


Dynamics <strong>of</strong> Frontogenesis (cont.)<br />

When we talk about frontogenesis forcing, it’s the resulting ageostrophic<br />

circulation we are most interested in for precipitation forecasting.


Forecasting Applications


Use <strong>of</strong> Frontogenesis in Forecasting<br />

• Presence <strong>of</strong> F in 850-500mb layer can help diagnose and predict areas <strong>of</strong><br />

heavy banded precipitation.<br />

• Potential for banding can be assessed using F field in numerical models, with<br />

placement <strong>of</strong> banding refined in


Common Synoptic Patterns<br />

TWO CLASSES OF BANDS:<br />

Forecast premise for mesoscale banding:<br />

• Requires a strengthening baroclinic zone in the<br />

presence <strong>of</strong> sufficient moisture for precipitation (AND<br />

– for snow, the proper thermal stratification).<br />

• Large-scale deformation zones are BY FAR AND<br />

AWAY the most common means <strong>of</strong> manifesting areas<br />

<strong>of</strong> frontogenesis within the 850-500mb layer.<br />

• Does NOT require a strong surface cyclone, only a<br />

low-mid tropospheric baroclinic zone<br />

‣ <strong>Bands</strong> associated with surface cyclogenesis<br />

‣ <strong>Bands</strong> not associated with surface cyclogenesis


I. CYCLOGENETIC PATTERN<br />

NW <strong>of</strong> surface cyclone --“wrap around precipitation”<br />

Mature Stage<br />

Decaying Stage


Northwest <strong>of</strong> Strong Cyclone 1/6/02


Snowfall Accumulations


II. Frontal / Weak Cyclogenesis Pattern<br />

‣ Confluent flow ~700mb in advance <strong>of</strong> a positive tilt trough.<br />

‣ Weak or non-existent surface wave cyclone along surface front.<br />

‣ Seems to be most common in the Central and Northern Plains with<br />

boundaries.<br />

quasi-stationary arctic


Within Strong E-W Frontal Zone<br />

3/13/02


Example Case <strong>of</strong> Frontogenesis and Banded<br />

<strong>Precipitation</strong><br />

Date: 15 October 2001 (Case #1)<br />

• Narrow band (1-2 counties wide) <strong>of</strong> moderate to<br />

heavy rainfall from eastern KS to central IL.<br />

• Associated with weak surface features but a<br />

moderately strong baroclinic zone and<br />

frontogenesis forcing.


700mb 00z 15 OCT 01


Surface 15 OCT 2001<br />

00z<br />

12z


925mb 12z 15 OCT 01<br />

Large-scale deformation field - eastern KS and western MO


18z 15 OCT 01<br />

18z mosaic base reflectivity and<br />

surface observations<br />

18z 600mb<br />

Frontogenesis


Kirksville, MO (ASOS) Hourly Rainfall<br />

15 October 2001<br />

0.30<br />

0.25<br />

Hourly <strong>Precipitation</strong> (inches)<br />

0.20<br />

0.15<br />

0.10<br />

0.05<br />

0.00<br />

14 15 16 17 18 19 20 21 22<br />

TIME (UTC)<br />

• Rainfall rates between 0.10” and 0.25” occurred for a 6 hour<br />

period from 15-20z.<br />

• Moderate to heavy precipitation can persist longer (12+ hours)<br />

with slower moving systems or mature extratropical cyclones.


Topeka, KS 12z 15 OCT 01


700mb Frontogenesis / Base Reflectivity<br />

0 hr ETA 12z 6 hr ETA 18z<br />

1150z<br />

1805z<br />

• Organization <strong>of</strong> precipitation increases as F orientation becomes aligned with isotherm<br />

orientation at lower levels.


Sloped Continuity <strong>of</strong> F<br />

600 mb<br />

6hr ETA forecast valid<br />

18z 15 OCT 01<br />

700 mb<br />

850 mb<br />

• Presence <strong>of</strong> parallel axes <strong>of</strong> positive<br />

frontogenesis sloping upward toward<br />

colder air is a common aspect <strong>of</strong><br />

heavy banded precipitation areas.


Sloped Continuity <strong>of</strong> F<br />

The plane <strong>of</strong> the cross-section should be taken perpendicular to the mid-level (850-500mb) thermal wind vector<br />

or thickness lines.


Sloped Continuity <strong>of</strong> Frontogenesis Forcing (cont.)<br />

‣ The previous two slides have several important<br />

implications:<br />

1) Several levels (or a x-section) should be assessed<br />

for spatial continuity and orientation <strong>of</strong> F, to see if<br />

banding is likely to occur at a given time.<br />

2) Vertical averaging should probably be avoided.<br />

3) The sloped continuity tells us something about the<br />

structure <strong>of</strong> the wind field we can use to infer<br />

frontogenesis from single sounding (observed or<br />

model derived), VAD, or wind pr<strong>of</strong>iler data, and<br />

large-scale flow fields.


Role <strong>of</strong> Deep-Layer Shear Pr<strong>of</strong>ile<br />

Nature <strong>of</strong> environmental wind pr<strong>of</strong>ile may be conducive to “seeder-feeder”<br />

mechanism and rapid precipitation generation / elongation <strong>of</strong> bands during<br />

initial development phase.


Role <strong>of</strong> Deep-Layer Shear (cont.)<br />

Martin (1998)<br />

‣ Note banding orientation (parallel to isentropes / isotherms).


Vertical Wind Pr<strong>of</strong>ile and<br />

Idealized Hodographs:<br />

banding<br />

Col point al<strong>of</strong>t


Mesoscale Band Variations<br />

- Band movement (short and long-axis translation)<br />

- Warm season vs. cool season bands<br />

- Multiple parallel bands (stability driven)<br />

- Non-banded (the “null wind structure”)


Banded – Cold Season 3-10Z 12/29/02


Mosaic Radar 8z 12/29/02<br />

‣ RUC 2h frontogenesis forecast 850mb


1.5 o Base Velocity / VAD – Spokane, WA<br />

0854z 12/29/02<br />

Frontogenesis coincident with col point / straight shear


Banded – Warm Season 12Z 6/27/01<br />

Training thunderstorms, in gravitationally unstable environment<br />

VIS 1500Z<br />

TLX 1459Z


Banded – Translation along short axis<br />

North Dakota 0256z 1/26/03<br />

Two problems for heavy precip:<br />

Moisture starved, and moving fast


Non-Banded 0256z 12/25/02


Non-Banded 0256z 12/25/02<br />

Note strong curvature to the<br />

shear vector with height. This<br />

tends to preclude coherent<br />

banding, even in the presence<br />

<strong>of</strong> frontogenesis.


Banded- Multiple 11/09/00<br />

Montgomery Co.<br />

<br />

INX 0903Z<br />

Unlike Case #1, this case shows narrow multiple banded<br />

precipitation. Lower stability likely played a role.


700-500mb Lapse Rate Comparison<br />

SGF 12z<br />

11/09/00<br />

TOP 12z<br />

10/15/01<br />

7.8 C/km 4.5 C/km<br />

Near neutral or unstable lapse rates (with respect to a moist adiabat) implies multiple narrow and intense<br />

(maybe 5-10 km or so in width), bands. Resulted in 2-3”/hr snowfall rates on Nov 9, 2000.


Modulation <strong>of</strong> Band Intensity by Instability for a<br />

constant value <strong>of</strong> F<br />

As gravitational or symmetric<br />

stability decreases, the<br />

horizontal scale <strong>of</strong> the band<br />

decreases while the intensity <strong>of</strong><br />

the band increases. Multiple<br />

bands become established in an<br />

unstable regime.


Using EPV to Measure Stability<br />

• EPV = Equivalent Potential Vorticity<br />

• A relatively simple, quick, and effective way to evaluate CSI/MSI.<br />

Gravitational instability may also be present.<br />

Defined by Moore and Lambert (1993) as follows:<br />

EPV<br />

=<br />

⎡⎛<br />

g⎢⎜<br />

⎣⎝<br />

∂M<br />

∂p<br />

g<br />

∂θ<br />

∂x<br />

e<br />

⎞<br />

⎟ −<br />

⎠<br />

⎛<br />

⎜<br />

⎝<br />

∂M<br />

∂x<br />

g<br />

∂θ<br />

∂p<br />

(TERM 1) (TERM 2)<br />

e<br />

⎞⎤<br />

⎟⎥<br />

⎠⎦<br />

• The closer EPV is to zero, the more responsive the atmosphere will<br />

be to a given amount <strong>of</strong> forcing.<br />

• IF EPV


Using EPV to Measure Stability<br />

An example from Moore and Lambert<br />

(1993)


Frontogenesis and Symmetric Instability


Cloud-Layer Stratificaiton Comparison<br />

2-D 750mb<br />

frontogenesis<br />

Bismarck VAD<br />

21z RUC<br />

Forecast valid<br />

at 00z<br />

0018Z 22 Oct 02<br />

ND<br />

MT


ETA 0h EPV 00z 10/22/02<br />

700mb (thick dashed<br />

line)<br />

600mb (thin dashed<br />

line)<br />

Multiple bands exist here<br />

in negative EPV regime<br />

over Montana.<br />

0018Z 22 Oct 02


00z Soundings 10/22/02<br />

Great Falls, MT<br />

Bismarck, ND<br />

700-500mb lapse rate: 6.7 C/km<br />

700-500mb lapse rate: 5.1 C/km<br />

850-500mb lapse rate: 3.5 C/km


Numerical Model Considerations<br />

Date: 7 February 2003 (Case #2)<br />

• Heavy snow band across southern New England<br />

• QPF/ 700mb UVV field: may not tell you what you need to know, even for a<br />

“well-handled” system:<br />

“What you see isn’t always what you get”


2/7/03 09Z RUC Forecast QPF/UVV


2/7/03 09Z RUC Forecast<br />

700mb Warm Advection


2/7/03 Mosaic Radar 1215z-0022z


2/7/03 Mosaic Radar / RUC 700mb F


Pr<strong>of</strong>iler – Plymouth, MA


Boston, MA Surface Observations<br />

BOS 13 UTC 1 1/2SM –SN<br />

BOS 14 UTC 1/2 SM SN<br />

BOS 15 UTC 1/2 SM SN SNINCR 1/ 2<br />

BOS 16 UTC 1/2 SM SN SNINCR 1/ 3<br />

BOS 17 UTC 1/2 SM SN SNINCR 2/ 4<br />

BOS 18 UTC 1/4 SM +SN SNINCR 2/ 6<br />

BOS 19 UTC 1/4 SM +SN SNINCR 2/ 8<br />

BOS 20 UTC 1/4 SM +SN SNINCR 2/10<br />

BOS 21 UTC 1/4 SM SN SNINCR 1/10<br />

BOS 22 UTC 1/4 SM -SN<br />

BOS 23 UTC 2 SM –SN<br />

BOS 00 UTC 10 SM<br />

700 mb<br />

F, 18Z


Snowfall Accumulations 2/7/03<br />

• Inadequate resolution likely precluded evidence <strong>of</strong> band in UVV / QPF fields.


Suggested Snow Band Checklist<br />

Presence <strong>of</strong> (1”/hr):<br />

<br />

limited dry air advection in near surface.<br />

near saturated / high low-mid level RH present (east CONUS, 1000-<br />

500mb >85%)<br />

Favorable thermodynamic pr<strong>of</strong>ile for snow (i.e. cloud top temp


Suggested Snow Band Checklist (cont.)<br />

Enhancement <strong>of</strong> (1-3”/hr, 5”/hr in extreme cases):<br />

<br />

UVV<br />

Saturation through dendrite growth layer (-12 to – 16C) coincident with strong<br />

(high precipitation efficiency)<br />

Presence <strong>of</strong> negative EPV, elevated potential or slantwise instability<br />

(convective snow potential, band multiplicity)


SUMMARY<br />

When applied within the context <strong>of</strong> ingredients based forecasting, frontogenesis is<br />

useful for assessing potential for mesoscale banded precipitation areas.<br />

Doesn’t require a strong cyclone, only a strong baroclinic zone, <strong>of</strong>ten developed<br />

through horizontal deformation and associated w/ a col point al<strong>of</strong>t<br />

Col point al<strong>of</strong>t = YOUR cue to investigate F and banding potential<br />

Location <strong>of</strong> col point al<strong>of</strong>t = approximate band location<br />

Banding is modulated by wind structure and stability<br />

Banding is not always represented by the models

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