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Shear-Driven Instabilities as the Origin of Multi-Banded Cloud and Precipitation Structures in an Extratropical Cyclone

Abstract

This paper investigates the dynamics governing multi-banded cloud and precipitation in extratropical cyclones through a case study from the NASA Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. On 1 February 2020, a low-pressure system emerged off the North Carolina coast at 1200 UTC, deepening by 7 hPa in six hours as it accelerated northeast over the Atlantic. High-resolution GOES visible imagery revealed multiple bands of high-reflectance cloud to the north/northeast of the center, along with clusters of convective cells closer to the core. Wavelet analysis identified a dominant multi-band wavelength of 30 km and a secondary peak at 15-20 km. Airborne radar measurements from IMPACTS flights showed deep convection near the center and narrow, elevated reflectivity bands linked to the multi-band features farther out. Numerical simulations reproduced the multi-bands, enabling exploration of their dynamical origin. Intrinsic phase speed calculations revealed that, contrary to several previous studies, the dominant multi-bands were not gravity waves. Instead, the features were identified as dynamic instabilities (Kelvin–Helmholtz instability) arising from vertical wind shear and low Richardson numbers near the upper-level outflow. Gravity waves were present in the low to mid levels (0–6 km) generated by convection, but they did not account for the strong perturbations in the mid to upper levels (6–10 km). This study presents new scientific insight into the governing dynamics of multi-banded structures in extratropical cyclones that highlights the role of shear-driven instabilities.

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Shear-Driven Instabilities as the Origin of Multi-Banded Cloud and Precipitation Structures in an Extratropical Cyclone

Author: Guimond, Stephen
Publisher: Zenodo
DOI: 10.5281/zenodo.17258800
Source: https://zenodo.org/records/17258800/files/IMPACTS_guimond.pdf
Gene a ed using he o icial AMS L
A
T
EX empla e 6.1
Shea -D i en Ins abili ies as he O igin o Mul i-Banded Cloud and1
P ecipi a ion S uc u es in an Ex a opical Cyclone2
S ephen R. Guimonda
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aDepa men o A mosphe ic and Plane a y Sciences and Se e e Wea he Resea ch Cen e ,
Hamp on Uni e si y, Hamp on, VA, USA
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Co esponding au ho : S ephen R. Guimond, [email p o ec ed]6
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ABSTRACT: This pape in es iga es he dynamics go e ning mul i-banded cloud and p ecipi a ion
in ex a opical cyclones h ough a case s udy om he NASA In es iga ion o Mic ophysics
and P ecipi a ion o A lan ic Coas -Th ea ening Snows o ms (IMPACTS) ield campaign. On
1 Feb ua y 2020, a low-p essu e sys em eme ged o he No h Ca olina coas a 1200 UTC,
deepening by 7 hPa in six hou s as i accele a ed no heas o e he A lan ic. High- esolu ion
GOES isible image y e ealed mul iple bands o high- e lec ance cloud o he no h/no heas o
he cen e , along wi h clus e s o con ec i e cells close o he co e. Wa ele analysis iden i ied
a dominan mul i-band wa eleng h o 30 km and a seconda y peak a 15-20 km. Ai bo ne ada
measu emen s om IMPACTS ligh s showed deep con ec ion nea he cen e and na ow, ele a ed
e lec i i y bands linked o he mul i-band ea u es a he ou . Nume ical simula ions ep oduced
he mul i-bands, enabling explo a ion o hei dynamical o igin. In insic phase speed calcula ions
e ealed ha , con a y o se e al p e ious s udies, he dominan mul i-bands we e no g a i y
wa es. Ins ead, he ea u es we e iden i ied as dynamic ins abili ies (Kel in–Helmhol z ins abili y)
a ising om e ical wind shea and low Richa dson numbe s nea he uppe -le el ou low. G a i y
wa es we e p esen in he low o mid le els (0–6 km) gene a ed by con ec ion, bu hey did no
accoun o he s ong pe u ba ions in he mid o uppe le els (6–10 km). This s udy p esen s new
scien i ic insigh in o he go e ning dynamics o mul i-banded s uc u es in ex a opical cyclones
ha highligh s he ole o shea -d i en ins abili ies.
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SIGNIFICANCE STATEMENT: Ex a opical cyclones along he Uni ed S a es Eas Coas can25
p oduce in ense bands o snow and o he ypes o p ecipi a ion ha cause a el chaos and po en ial26
loss o li e. In his wo k, a s o m o his ype was s udied using NASA ai c a and sa elli e27
da a as well as compu e simula ions. The esul s show ha he s o m bands we e no caused by28
a mosphe ic wa es, as scien is s o en hough , bu by sha p changes in he wind speed wi h heigh 29
called shea . This shea c ea ed uns able laye s ha olled and mixed he ai , o ming o ganized30
cloud and p ecipi a ion pa e ns. Unde s anding hese undamen al physical p ocesses can help31
o ecas e s be e p edic when and whe e hea y snow bands will o m, imp o ing wa nings and32
public sa e y.33
1. In oduc ion34
Banded s uc u es in ex eme wea he sys ems a e pe u ba ions o a balanced, backg ound35
low ha can o ganize and concen a e a iables such as mois u e, momen um, and ene gy. In36
ex a opical cyclones (ETCs), he ocus o his pape , he concen a ion o hese a iables can37
lead o in ense bands o mul i-phase p ecipi a ion a he su ace ha a e di icul o measu e,38
model and p edic wi h signi ican consequences o socie y. Fo example, snow all associa ed39
wi h ETCs in he win e mon hs can o en o ganize in o mul iple bands ha d op la ge amoun s40
o snow in a sho ime causing ehicle c ashes, ligh cancella ions and shu downs o schools and41
businesses. The cu en unde s anding o he dynamical p ocesses con olling he o ma ion and42
e olu ion o hese p ecipi a ion mul i-bands (as opposed o a single, la ge-scale band) and hei 43
ep esen a ion/p edic abili y in nume ical models is e y limi ed. These limi a ions we e pa o he44
mo i a ing ac o s o he ecen ly comple ed In es iga ion o Mic ophysics and P ecipi a ion o 45
A lan ic Coas -Th ea ening Snows o ms (IMPACTS; ?) ield expe imen , which sough o imp o e46
he unde s anding o p ecipi a ion mul i-bands in ETCs om a ious pe spec i es.47
?used ada obse a ions, soundings, and eanalysis da a o examine he en i onmen s con aining48
banded s uc u es in a la ge se o ETC win e s o ms. They ound ha mul i-bands we e no well49
co ela ed wi h on ogene ical o cing and associa ed de o ma ion zones. This esul is consis en 50
wi h he no ion ha de o ma ion alone canno explain he egula , oscilla o y na u e o he a ious51
ields connec ed o mul i-bands. The au ho s also examined he p esence o condi ional symme ic52
ins abili y (CSI) in he en i onmen o a ious ypes o banded s uc u es. While CSI was p esen 53
3
in he as majo i y o banded cases, he e was no clea sepa a ion be ween single, la ge-scale bands54
and he smalle -scale, mul i-band s uc u es. This sugges s ha CSI may no be he undamen al55
p ope y unde lying he o ma ion and e olu ion o mul i-bands.56
In hei e iew pape , ?no ed ha he banding o clouds and p ecipi a ion in ETCs appea s o57
be weakly ela ed o CSI. ?used a iscous o m o he Sawye -Eliassen equa ion o unde s and58
banding mechanisms associa ed wi h on ogene ical o cing. Fo b oad o cing and nega i e mois 59
po en ial o ici y, which is a condi ion ha e lec s he p esence o CSI, mul iple bands de elop60
wi h an in ensi y ha scales wi h he deg ee o ins abili y. Howe e , i is no clea om he heo y61
o ?exac ly how CSI coupled wi h mois u e and li , associa ed wi h on ogenesis, would p oduce62
he egula ly spaced bands o clouds and p ecipi a ion obse ed in he eal a mosphe e. In an63
uns able en i onmen , pa cels a e accele a ed exponen ially in he di ec ion o he displacemen 64
and do no main ain an oscilla o y beha io .65
?and ?desc ibed se e al condi ions ha should be me o associa e p ecipi a ion mul i-bands66
wi h CSI. One o he key equi emen s is ha he bands ha e no in insic p opaga ion as hey should67
be mo ing di ec ly wi h he en i onmen al low. Howe e , se e al s udies o mul i-bands do show68
in insic p opaga ion, which when coupled wi h he desc ip ion abo e, ques ion he ole o CSI in69
he band dynamics.70
Ano he possible culp i o mul i-bands is he p esence o a wa e phenomenon o o ganize he71
oscilla ions in he s a e a iables and p o ide he li necessa y o elease any ype o ins abili y72
in he en i onmen . Se e al p e ious s udies ha e ocused on he ole o g a i y wa es as he73
mechanism o o ganizing he cloud and p ecipi a ion ields in o mul i-band s uc u es in ETCs74
(e.g., ???). These wa es can be gene a ed om low imbalances (e.g., associa ed wi h uppe -75
le el je s), con ec i e pe u ba ions, and/o low o e opog aphy. ?documen ed la ge-ampli ude76
mesoscale g a i y wa es (wa eleng hs o 200 - 260 km) du ing se e al win e s o ms using ime77
se ies o su ace p essu e and wind measu emen s. These g a i y wa es we e ound o o igina e a 78
uppe le els om je s eak imbalances and he associa ed geos ophic adjus men p ocess (e.g., ?).79
Fo la ge-ampli ude wa es, a su ace e lec ion o he uppe -le el pe u ba ion ene gy was de ec ed80
and hypo hesized o become apped a lowe -le els due o s ong s a ic s abili y (“wa e duc ing”;81
?). This wa e duc ing allows o a longe esidence ime o he g a i y wa e ene gy in he lowe 82
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le els o he a mosphe e esul ing in he po en ial o o ganized clouds and p ecipi a ion as shown83
by sa elli e and ada ins umen s.84
?also highligh ed he ole o mesoscale (∼200 km) g a i y wa es using nume ical simula ions o 85
an ETC using a ious esolu ions down o 4 km spacing. The au ho s p oposed a concep ual model86
o he gene a ion and e olu ion o mesoscale g a i y wa es based on hese simula ions. Fi s , he87
wa es we e ini ia ed in he uppe le els o he sys em om he geos ophic adjus men p ocess.88
Then, con ec ion associa ed wi h he on al ea u es and local ins abili y anspo ed some o he89
g a i y wa e ene gy owa ds he su ace whe e i can be duc ed wi hin a s a ically s able laye . This90
duc ed wa e hen in e ac s wi h he mois u e ield o c ea e a con ec i ely-coupled wa e ha can91
be main ained and possibly ampli ied o e a signi ican amoun o ime.92
Se e al ques ions and unce ain ies come o mind ega ding he applicabili y o hese p e ious93
g a i y wa e s udies o he gene al p oblem o ETC mul i-bands. How does con ec i e ac i i y94
p e e en ially anspo he wa e ene gy ini ia ed a uppe le els (nea he opopause) downwa d95
o low le els and keep he wa e in ac ? The p esence o a s ong s a ic s abili y laye a lowe 96
le els and e lec ing laye abo e o enable wa e duc ing appea s o be a special se o ci cums ances97
and i is no clea how his laye can be o med and main ained in egions o he sys em ha a e98
con ec i ely ac i e.99
The goals o he p esen s udy a e: (1) To de e mine he key s uc u es and spa ial/ empo al scales100
o mul i-banded p ecipi a ion ea u es in ETCs and (2) To de e mine he o igin and dynamical101
p ocesses associa ed wi h hese bands. To add ess he abo e goals and de elop po en ially new102
unde s anding o ETC mul i-bands, a case s udy om he NASA IMPACTS ield campaign is103
analyzed wi h mul i-scale nume ical simula ions and a a ie y o emo e sensing measu emen s.104
Case s udies a e an impo an i s s ep owa ds de eloping a deep, holis ic unde s anding o a105
physical p ocess, which hen allows ha unde s anding o be es ed mo e b oadly on a la ge 106
collec ion o sys ems. The echnical no el ies o he p esen wo k a e in he s udy o mode n107
emo e sensing measu emen s and nume ical models along wi h some new me hods o analysis o108
he p oblem o ETC mul i-bands.109
5

Fig. 1. Synop ic maps o mean sea le el p essu e and on al analysis on 1 Feb ua y, 2020 a (a) 1200 UTC and
(b) 1800 UTC.
2. B ie o e iew o ex a opical sys em110
Du ing he win e o 2020, NASA o ganized he i s phase o a mul i-yea e o called IMPACTS111
o s udy he mic ophysics and dynamics o ETCs wi h a ocus on unde s anding banded egions o 112
p ecipi a ion. On 1 Feb ua y 2020, a double su ace low-p essu e sys em along a s a iona y on 113
o med o he coas o he Ca olinas wi h he sou he n low s a ing o a ∼1006 hPa on 1200114
UTC 1 Feb ua y (Fig.1a). Du ing he nex 6 hou s, he sou he n low in ensi ied o 999 hPa a 115
1800 UTC 1 Feb ua y (Fig.1b) and o 998 hPa a 0000 UTC 2 Feb ua y (no shown). Du ing his116
pe iod, mul iple bands o con ec i e clouds and p ecipi a ion o med o he no h and no heas 117
o he sou he n low-p essu e cen e , which allowed de ailed s udy o hei cha ac e is ics. Fligh s118
om he NASA P-3 and ER-2 ai c a occu ed du ing ∼1200 - 1800 UTC 1 Feb ua y sampling119
he en i onmen and banded ea u es associa ed wi h he sou he n low.120
6
3. Da a and p ocessing121
a. EXRAD122
The ER-2 X-band Dopple Rada (EXRAD) is an X-band, downwa d-poin ing ai bo ne ada 123
ha measu es ada e lec i i y and Dopple eloci y om hyd ome eo s wi h wo beams and ∼20124
m ga e spacing. The i s beam is ixed and poin s nominally a nadi , while he second beam scans125
conically a 20 e olu ions pe minu e a a nominal incidence angle o 32°. F om he al i ude o 126
he NASA ER-2 ai c a (∼20 km), he swa h wid h a he i s le el o use ul da a is ∼23 km.127
The EXRAD scanning beam main- and side-lobes in e ac s ongly wi h he ocean su ace and128
con amina e he p ecipi a ion signal below abou 1 km heigh . The sampling o p ecipi a ion om129
he scanning beam is ∼500 m along- ack and ∼2°in azimu h while he nadi beam along- ack130
sampling is ∼50 m.131
Calcula ions o he h ee-dimensional (3D) wind ield using he EXRAD scanning beam a e132
pe o med using he 3D a ia ional algo i hm desc ibed in ?. The e ie al g id is se o 500 m in133
he ho izon al dimensions and 250 m in he e ical dimension. Fine g id spacing in he e ical134
is possible, bu was no deemed necessa y. A wo o h ee g id poin unning mean il e is applied135
o he aw e ie als in pos -p ocessing o emo e nume ical noise. The e ec i e esolu ion o 136
he wind ields p oduced om he algo i hm has been analyzed wi h la ge eddy simula ions in ?.137
Resul s show ha scales o 5 Δ𝑥and la ge a e ully esol ed, which ansla es o 2.5 km o he138
p esen s udy. Scales below his h eshold, down o he g id scale, a e subjec o inc easing kine ic139
ene gy a enua ion.140
Quali y con ol has been pe o med on he wind ields o emo e da a wi h low signal- o-noise141
a ios and high unce ain ies. While a combina ion o pa ame e s ha e been s udied, he bes quali y142
ields we e ound by emo ing da a wi h s anda d de ia ions la ge han 6 m/s (e o s a is ics a e143
compu ed as pa o he wind algo i hm, see ?). The da a p esen ed in his pape ha e his h eshold144
applied. Valida ion o he EXRAD 3D winds wi h ligh le el in-si u da a om he NASA ER-2145
ai c a du ing IMPACTS 2020 ha e been pe o med. This alida ion showed zonal wind oo 146
mean squa e e o s (RMSEs) o 3.99 m/s wi h a co ela ion coe icien o 0.92. Fo he me idional147
wind, he RMSEs a e 4.53 m/s wi h a co ela ion coe icien o 0.89. These s a is ics a e collec ed148
7
a a ious loca ions ac oss he ada swa h and o di e en ime o se s. Fu he in o ma ion abou 149
hese e o s a is ics and he EXRAD scanning beam wind e ie als can be ound in (?).150
Fo scien i ic analysis, he EXRAD scanning beam is used o p esen he ho izon al wind ield,151
while he nadi beam is used o display he e ical wind ield, since i has highe quali y. Se e al152
co ec ions o he nadi beam Dopple eloci ies a e needed be o e he e ical eloci y can be153
analyzed o science. The exp ession o he nadi beam Dopple eloci y (𝑉𝑑) is gi en by154
𝑉𝑑=®
𝑉𝑤·ˆ𝑒−®
𝑉𝑔·ˆ𝑒+𝑉𝑛(1)
whe e ˆ𝑒=𝑥ˆ
𝑖+𝑦ˆ
𝑗+𝑧ˆ
𝑘
𝑟and155
®
𝑉𝑤=𝑢ˆ
𝑖+𝑣ˆ
𝑗+ (𝑤+𝑣𝑡)ˆ
𝑘, (2)
®
𝑉𝑔=(𝐺𝑆ℎ∗𝑠𝑖𝑛𝑇)ˆ
𝑖+ (𝐺𝑆ℎ∗𝑐𝑜𝑠𝑇)ˆ
𝑗+ (𝐺𝑆𝑣)ˆ
𝑘(3)
and 𝑉𝑛 ep esen s he e ec s o non-uni o m beam illing.156
In hese equa ions x,y,z a e he Ea h- ela i e coo dina es o he ada pulse olumes (?), is157
he ange, u, ,w a e he componen s o he Ea h- ela i e wind, 𝑣𝑡is he hyd ome eo allspeed,158
𝐺𝑆ℎ,𝐺𝑆𝑣a e he ho izon al and e ical componen s o he ai c a g ound speed and Tis he159
ai c a ack angle.160
Sol ing o he e ical eloci y yields,161
𝑤=(𝑉𝑑−𝑉𝑛+®
𝑉𝑔·ˆ𝑒)𝑟−𝑢𝑥 −𝑣𝑦
𝑧−𝑣𝑡.(4)
The calcula ion o hyd ome eo allspeeds om he e lec i i y measu emen s ollows he s udies162
o ?and ?. The non-uni o m beam illing e ec s a e emo ed om he Dopple eloci ies163
ollowing ?. Ai c a mo ion can esul in an enna poin ing angles ha in e cep he ho izon al164
wind ield, con amina ing he e ical winds. The ho izon al wind ields compu ed om he165
EXRAD scanning beam, desc ibed abo e, a e used o emo e his con amina ion om he nadi 166
beam ollowing equa ion 4.167
8
b. GOES-16168
High spa ial and empo al esolu ion image y o clouds om he ad anced baseline image on169
he Geos a iona y Ope a ional En i onmen al Sa elli e (GOES) - 16 sa elli e a isible and in a ed170
wa eleng hs a e used o ack banded s uc u es. Speci ically, e lec ance da a om he isible171
(channel 2) band a 500 m pixel spacing and 60 s ime upda es is u ilized. This ine sampling in172
space and ime p o ides he de ailed s uc u e o he cloud li ecycle as well as he o ganiza ion and173
e olu ion in o mul i-bands.174
c. Nume ical Simula ions175
The Wea he Resea ch and Fo ecas ing (WRF) model e sion 4.2 wi h he ad anced esea ch176
dynamic co e is u ilized o p o ide con ex o he obse a ions. Fou domains a e u ilized wi h177
a la ge, pa en domain a 2 km g id spacing (domain 1) co e ing he ull mo emen o he low-178
p essu e sys em and banded ea u es on 1 Feb ua y 2020. Th ee nes ed domains a 0.667 km179
(domain 2), 0.222 km (domain 3) and 0.074 km (domain 4) g id spacing we e placed o he No h180
and No heas o he low cen e o y and cap u e he ine scales o he mul i-bands. All domains181
u ilize 121 s e ched e ical le els wi h a spacing o ∼75 m a he su ace, ∼200 m a 10 km182
heigh and ∼900 m nea he model op a 20 km heigh .183
Po ions o he mul i-bands we e cap u ed in domains 2 and 3, bu no domain 4. The ocus o 184
he pape is on domain 1 o a ew easons. Fi s , his domain cap u es he en i e y o he sys em,185
which allows bo h la ge-scale and mesoscale ea u es o be analyzed. Second, he wa eleng hs186
o dominan ea u es ound in he obse a ions a e 15-20 km and ∼30 km, which should be well187
esol ed by he 2 km domain gi en he ∼7 - 8 Δ𝑥nume ical dissipa ion ange o WRF (e.g., ?).188
The highe esolu ion domains we e analyzed as pa o his esea ch and will be no ed whe e189
app op ia e.190
The se up o he model is as ollows. The NCEP Global Da a Assimila ion Sys em (GDAS)/Final191
(FNL) ope a ional global analyses a 0.25 °spacing and 6 h empo al spacing a e used as he ini ial192
and bounda y condi ions o he simula ion. This widely used sys em combines he Global Fo ecas 193
Sys em (GFS) model wi h a ious synop ic-scale obse a ions o achie e an op imal s a e o he194
a mosphe e. Fo he 2 km pa en domain he ollowing sub-g id physics schemes we e chosen:195
Thompson o mic ophysics, YSU o bounda y laye ( e ical di usion), Smago insky-2D o 196
9
Two hou s la e a 1600 UTC, he same ields ha e changed signi ican ly. The low-le el e lec i i y310
(Fig. 8a) e eals h ee bands o ien ed a di e en angles and deno ed wi h dashed, black ci cles.311
The mid-le el e lec i i y (Fig. 8b) shows some signa u es o he low-le el bands, such as he312
sou he nmos ci cled egion, bu o he bands o he no h do no ha e he same o ien a ion. These313
bands a e o ien ed app oxima ely pe pendicula o he along- ack axis ha deno es he axis o 314
band p opaga ion. The uppe -le el e lec i i y (Fig. 8c) shows na ow signa u es o mul i-bands315
ha ex end om nea he sys em cen e ou o app oxima ely 300 km adius. The wa eleng hs316
o he e lec i i y bands in Fig. 8 a e ∼30 km, which is e y simila o hose documen ed om317
he GOES da a, shown by he wa ele analysis in Fig. 5. The mul i-bands p esen in he model318
e lec i i y appea simila o hose obse ed in he GOES da a (Fig. 2).319
Figu e 9 shows he absolu e e ical o ici y ield a 1600 UTC. The low-le el (Fig. 9a) o ici y328
shows simila s uc u e o he ield a 1400 UTC. The mid-le el (Fig. 9b) o ici y shows no iceable329
cu a u e in he bands wi h posi i e/nega i e oscilla ions mo e p ominen o he eas o he along-330
ack axis. The uppe -le el (Fig. 9c) o ici y ield shows a ib an mul i-banded s uc u e o he331
no heas o he sys em cen e wi h o ici y oscilla ions up o ±1×10−3𝑠−1and wa eleng hs o ∼332
30 km. This s uc u e is consis en wi h he e lec i i y ield shown in Fig. 8c.333
To examine he mul i-bands mo e closely, he model da a is ou pu a wo minu e in e als and344
in e pola ed o a ack- ela i e g id, cen e ed on he black line in he p eceding igu es, wi h a g id345
spacing o 2 km in he ac oss- ack and along- ack dimension while keeping he na i e model346
e ical spacing. In addi ion, he along- ack (𝑈𝑎) and ac oss- ack (𝑈𝑥) eloci ies we e compu ed347
on his g id,348
𝑈𝑎=𝑢cos(T) + 𝑣sin(T)(5)
𝑈𝑥=𝑢sin(T) − 𝑣cos(T)(6)
whe e 𝑢and 𝑣a e he zonal and me idional eloci ies and 𝑇is he g id ack angle o ∼75 °.349
A posi i e along- ack eloci y is mo ing owa ds inc easing along- ack alues (looking down350
he ack), while a posi i e ac oss- ack eloci y is mo ing owa ds inc easing ac oss- ack alues351
( om le o igh looking down he ack). One snapsho o he bands a di e en le els is shown in352
16

Fig. 6. Ho izon al c oss sec ions o he simula ed e lec i i y (dBZ) in domain 1 (2.0 km g id spacing)
on 1 Feb ua y, 2020 a 1400 UTC. Panels (a), (b) and (c) show he 0 - 3 km, 4 - 7 km and 7 - 10 km heigh
a e aged ields, espec i ely. The black line in all panels deno es he along- ack axis (no mal o he phase lines)
o mul i-bands obse ed in subsequen igu es.
320
321
322
323
he nex wo igu es. This snapsho is ep esen a i e o he mul i-band s uc u e unde in es iga ion353
and hus, mul iple snapsho s a e no shown.354
Figu e 10 shows he absolu e o ici y and e ical eloci y a e aged o e he 6 - 10 km heigh 355
ange on 1 Feb ua y, 2020 a 1530 UTC. In hese igu es, he aw model ields a e il e ed wi h a ∼356
20 km ac oss- ack unning mean and a ∼10 km along- ack unning mean o educe small-scale357
a iabili y and pull ou he la ge scale ea u es ha we e documen ed in he obse a ions. The358
sensi i i y o he mul i-bands o model g id spacing was analyzed by compa ing he s uc u es359
in domain 1 (2 km) and domain 2 (0.67 km). The aw ields, be o e il e ing, clea ly show360
mo e oscilla ions and la ge magni udes in se e al a iables on he highe esolu ion g id, which361
17
Fig. 7. Ho izon al c oss sec ions o he simula ed absolu e e ical o ici y (s−1) in domain 1 (2.0 km g id
spacing) on 1 Feb ua y, 2020 a 1400 UTC. Panels (a), (b) and (c) show he 0 - 3 km, 4 - 7 km and 7 - 10 km
heigh a e aged ields, espec i ely. The black line in all panels deno es he along- ack axis (no mal o he phase
lines) o mul i-bands obse ed in subsequen igu es.
324
325
326
327
is expec ed. Howe e , a e il e ing he ields o he same scales no ed abo e, he mul i-band362
s uc u e looks simila in bo h domains wi h dominan ho izon al wa eleng hs o ∼30 km. Since363
he obse a ions also show dominan wa eleng hs o ∼30 km, he ields simula ed in domain 1 a e364
deemed su icien o examine he dynamics.365
The e ical eloci y (Fig. 10b) displays a simila mul i-banded s uc u e as he o ici y ield370
(Fig. 10a), al hough he o ici y pe u ba ions a e mo e ib an and con inuous when compa ed371
o he e ical eloci y ield. The message om Fig. 10 is ha he posi i e phase lines o o ici y372
in he mul i-bands a e la gely unco ela ed wi h he posi i e phase lines o e ical eloci y. To373
cla i y, he dashed, whi e lines in Fig. 10a a e gene ally ou o phase wi h he peaks in e ical374
18
Fig. 8. Ho izon al c oss sec ions o he simula ed e lec i i y (dBZ) in domain 1 (2.0 km g id spacing) on
1 Feb ua y, 2020 a 1600 UTC showing he sou he n low p essu e sys em wi h embedded mul i-bands. Panels
(a), (b) and (c) show he 0 - 3 km, 4 - 7 km and 7 - 10 km heigh a e aged ields, espec i ely. The black, dashed
ci cles highligh he loca ions o se e al bands iden i ied in panel (a). These ci cles a e copied on o he panels in
(b) and (c). The black line in all panels deno es he along- ack axis (no mal o he phase lines) o mul i-bands
obse ed in panels (b) and (c).
334
335
336
337
338
339
eloci y shown in Fig. 10b, which indica es ha he s e ching o p e-exis ing o ici y is no he375
p ima y d i e o he o ici y oscilla ions.376
Figu e 11a highligh s a se ies o o ici y oscilla ions in he mid-le els (3 - 6 km heigh a e age)377
a he same ime as Fig. 10 ha ha e some simila i ies o he uppe -le el ea u es, such as he378
s ong anomaly a ∼75 km along- ack. Howe e , he o ici y oscilla ions in he mid-le els379
a e subs an ially weake in magni ude and no as well-de ined as hose in he uppe le els. The380
co esponding e ical eloci y ield (Fig. 11b) con inues o be ou o phase wi h he o ici y381
19
Fig. 9. Ho izon al c oss sec ions o he simula ed absolu e e ical o ici y (s−1) in domain 1 (2.0 km g id
spacing) showing he sou he n low p essu e sys em wi h embedded mul i-bands. Panels (a), (b) and (c) show he
0 - 3 km, 4 - 7 km and 7 - 10 km heigh a e aged ields, espec i ely. The black line in all panels deno es he
along- ack axis (no mal o he phase lines) o mul i-bands shown in Figu e ??.
340
341
342
343
wi h he excep ion o he s ong anomaly a ∼75 km along- ack, which is a band o con ec ion382
close o he sys em cen e . While he e a e se e al bands o e ical eloci y be ween 50 - 250383
km along- ack, hese bands do no seem o be as o ganized in he ac oss- ack di ec ion as hose384
shown in he uppe -le els (Fig. 10b).385
Figu e 12 shows e ical c oss sec ions o he mul i-bands a e aged be ween ±50 km ac oss-386
ack. Dis inc oscilla ions in o ici y (Fig. 12a) a e isible in he 6 - 10 km laye ha ex end387
om ∼50 - 300 km along ack. Below 6 km, he o ici y pa e n is no ob ious, al hough some388
oscilla ions ha a e il ed down he ack wi h heigh a e isible in he ∼2 - 6 km laye om ∼389
125 - 200 km along- ack. The e ical eloci y ield (Fig. 12b) shows simila oscilla ions o he390
20
Fig. 10. Ho izon al c oss sec ions, a e aged o e he 6 - 10 km heigh ange, o simula ed da a on he
ack- ela i e g id e ealing p ope ies o mul i-bands. Panels (a) and (b) show he simula ed absolu e o ici y
(s−1) and e ical eloci y (m s−1), espec i ely. The whi e, dashed lines highligh he posi i e pe u ba ions in
o ici y, which a e copied on o he e ical eloci y plo .
366
367
368
369
o ici y in he 6 - 10 km laye , mos appa en in he nega i e pe u ba ions, bu he e ical eloci y391
and o ici y a e mos ly ou o phase as p e iously discussed. The main excep ion is a 75 km392
along- ack, whe e a s ong, posi i e e ical eloci y anomaly is colloca ed wi h a s ong, posi i e393
o ici y anomaly. This ea u e is pa o he main o a ing con ec i e band loca ed jus no heas 394
o he sys em cen e highligh ed in Fig. 8 and Fig. 9. Posi i e co ela ions in o ici y and e ical395
eloci y a e also appa en a ∼125 km along- ack below 6 km heigh .396
Wha a e he dynamics go e ning he oscilla ions obse ed in he uppe -le els o he sys em?397
One migh suspec he pe u ba ions a e g a i y wa es and we e alua e ha po en ial he e. The398
o al phase speed o he bands is calcula ed by using he wo-minu e model ou pu o ack he lines399
o cons an phase using he ac oss- ack eloci y ield (shown la e in Fig. 14b) a e aged o e ±400
21

Fig. 11. The same as in Figu e 10, only o da a a e aged o e he 3 - 6 km heigh ange. No e he colo ba has
been expanded on he e ical eloci y panel compa ed o Fig. 10b.
50 km ac oss- ack and 6 - 10 km heigh . T acking hese phase lines esul ed in mean o al phase401
speeds o 26.67 m s−1. In o de o es ima e he possibili y o in insic p opaga ion, he mean low402
in he di ec ion o wa e p opaga ion mus be emo ed om he o al phase speed. The e ical403
c oss sec ions o he bands (Fig. 12) clea ly show ha hey a e p esen wi hin he 6 - 10 km laye .404
Sensi i i y es s in he ac oss- ack a e aging in e al we e pe o med o 100 km, 200 km and405
300 km ack- ela i e g ids. These es s showed ha he mean along- ack eloci y, a e aged o e 406
he app op ia e ac oss- ack dis ance and he 6 - 10 km laye we e ∼27.0 ±0.5 m s−1. Thus, he407
measu ed in insic phase speed o he mul i-bands in his laye is ∼0ms−1.408
Fo comple eness, he heo e ical g a i y wa e speed o his en i onmen is also calcula ed. The409
dispe sion ela ion o in e nal g a i y wa es is410
22
Fig. 12. Ve ical c oss sec ions o simula ed da a on 1 Feb ua y, 2020 a 1530 UTC, a e aged o e he ±50 km
ac oss- ack ange showing (a) absolu e o ici y and (b) e ical eloci y.
(𝜔−¯𝑢𝑘)2𝑘2+𝑚2−𝑁2𝑘2=0 (7)
whe e 𝜔is he angula equency, ¯𝑢is he la ge-scale, a e aged ho izon al windspeed in he411
di ec ion o wa e p opaga ion, 𝑁is he B un –V¨
ais¨
al¨
a equency, 𝑘is he ho izon al wa enumbe ,412
and 𝑚is he e ical wa enumbe .413
Rea anging Eq. (7) o he in insic ho izon al phase speed on he le -hand-side yields414
𝜔/𝑘−¯𝑢=𝑁/√︁𝑘2+𝑚2.(8)
The igh -hand-side o Eq. (8) is e alua ed using he da a om he simula ion. No e ha he415
buoyancy equency was es ima ed o be 50 imes la ge han he Co iolis equency and hus, he416
po en ial g a i y wa es a e no signi ican ly a ec ed by he Ea h’s o a ion. Taking an a e age417
o da a o e he sys em a wo di e en ime pe iods and in he 6 - 10 km laye p oduced alues418
o 𝑁a ound 10−2s−1. The dominan ho izon al wa eleng h in he model is ∼30 km and he419
23
Fig. 13. Ve ical c oss sec ions o simula ed da a on 1 Feb ua y, 2020 a 1530 UTC, a e aged o e he ±50
km ac oss- ack ange showing (a) pe u ba ion e ical eloci y (m s−1) and (b) pe u ba ion e lec i i y (dBZ).
The black a ows in panel (a) deno e ea u es discussed in he ex .
427
428
429
e ical wa eleng h is aken o be wice he dep h o he pe u ba ions, which equa es o 8 km.420
En e ing hese numbe s p oduces a ho izon al phase speed o 12.30 m s−1, which is ep esen a i e421
o he bands p opaga ing down he ack- ela i e g id o he no heas o he sys em cen e . I is422
clea om his calcula ion ha he measu ed in insic phase speeds ha e a la ge misma ch wi h423
he heo e ical in insic phase speeds o in e nal g a i y wa es, e en wi h signi ican unce ain y424
bounds in a ious pa ame e s. Thus, he obse ed mul i-bands in he uppe -le els canno be g a i y425
wa es.426
Howe e , he e a e mo e sub le oscilla ions in se e al a iables in he low o middle le els o 430
he sys em ha a e e ealed h ough examining pe u ba ion ields. In his analysis, pe u ba ions431
a e de ined as de ia ions o he o al a iables om he 50 km along- ack il e ed a iables. The432
pe u ba ion e ical eloci y a 1530 UTC (Fig. 13a) shows he p ominen mul i-bands in he 6433
24
- 10 km laye along wi h weake pe u ba ions in he ∼0 - 6 km laye deno ed by black a ows.434
The weake oscilla ions exhibi ampli udes app oxima ely h ee o ou imes lowe han hose in435
he uppe laye , making hem clea ly dis inguishable despi e he simila wa eleng hs o ∼30 km.436
Anima ions o e ical eloci y (no shown) appea o show hese wa es emana ing om he deep437
con ec ion p esen a ∼75 km along- ack. The pe u ba ion e lec i i y (Fig. 13b) is la gely438
consis en wi h he e ical eloci y excep he low o middle le el oscilla ions a e abou en imes439
lowe in ampli ude han he uppe laye wa es. This is why he mul i-bands a e no as isible in440
he low-le el p ecipi a ion ield as shown by he e lec i i y (Fig. 8a).441
The low o middle le el wa es (0 - 6 km laye ) we e acked in he pe u ba ion e ical eloci y442
ield wi h he wo minu e model ou pu and he o al phase speeds we e measu ed. This p ocedu e443
p oduced o al wa e phase speeds o ∼30 ±3 m/s. The along- ack eloci y was a e aged ac oss-444
ack (±50 km), along- ack (0 - 342 km) and heigh (0 - 6 km) o ep esen he mean low mo ing445
he wa es, which esul ed in alues o ∼14 ±0.5 m/s. Thus, he measu ed in insic phase speeds o 446
he wa es we e ∼16 m/s. The heo e ical in insic phase speeds o g a i y wa es we e compu ed447
using he same inpu s as be o e wi h he excep ion o a 12 km e ical wa eleng h ( wo imes he448
6 km dep h o he e ical eloci y pe u ba ions). These inpu s p oduced alues o 17.73 m/s,449
which is close o he measu ed in insic phase speed o ∼16 m/s. Thus, hese low o middle le el450
wa es can be iden i ied as in e nal g a i y wa es ha a e being gene a ed by he con ec i e ac i i y451
close o he sys em cen e .452
I he dominan , uppe -le el mul i-bands a e no g a i y wa es, wha is d i ing hei dynamics?456
Figu e 14 shows e ical c oss sec ions o he along- ack eloci y and ac oss- ack eloci y. The457
along- ack eloci y (Fig. 14a) shows a je cen e ed a ∼11 km heigh wi h la ge alues o e ical458
shea (maximum alues o 0.01 s−1) loca ed be ween 8 - 10 km heigh and mos no ably be ween459
50 - 225 km along- ack. The loca ions o he la ge e ical wind shea alues ma ch well wi h460
he loca ions o he wa e mo ions associa ed wi h he mul i-bands. Fo example, he ac oss- ack461
eloci y (Fig. 14b) e eals clea wa e mo ions in he 6 - 10 km laye and be ween 50 - 250 km462
along- ack. The e a e pe haps ex ensions o he wa e mo ions down o ∼4 - 5 km in some egions,463
bu o e all, he oscilla ions become less de ec able below 6 km heigh .464
The along- ack and ac oss- ack eloci y ields shown in Fig. 14 ma ch well wi h he EXRAD465
obse a ions shown in Fig. 4, despi e he di e ences in spa ial/ empo al co e age (also no e he466
25
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Guimond hanks he IMPACTS eam membe s o o ganizing he campaign, p o iding o ecas ing592
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