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Volcanic emission estimates from the inversion of ACTRIS lidar observations and their use for quantitative dispersion modeling

Author: Kampouri, Anna; Amiridis, Vassilis; Georgiou, Athanasios; Solomos, Stavros; Gialitaki, Anna; Tsichla, Maria; Rennie, Michael; SCOLLO, Simona; Zanis, Prodromos
Publisher: Zenodo
DOI: 10.5281/zenodo.17669790
Source: https://zenodo.org/records/17669790/files/acp-25-7343-2025.pdf
A mos. Chem. Phys., 25, 7343–7368, 2025
h ps://doi.o g/10.5194/acp-25-7343-2025
© Au ho (s) 2025. This wo k is dis ibu ed unde
he C ea i e Commons A ibu ion 4.0 License.
Resea ch a icle
Volcanic emission es ima es om he in e sion o
ACTRIS lida obse a ions and hei use o
quan i a i e dispe sion modeling
Anna Kampou i1,2, Vassilis Ami idis1, Thanasis Geo giou1,3, S a os Solomos4, Anna Giali aki1,5,
Ma ia Tsichla1,6, Michael Rennie7, Simona Scollo8, and P od omos Zanis2
1Ins i u e o As onomy, As ophysics, Space Applica ions and Remo e Sensing (IAASARS),
Na ional Obse a o y o A hens, 10560 A hens, G eece
2Depa men o Me eo ology and Clima ology, School o Geology,
A is o le Uni e si y o Thessaloniki, 54124 Thessaloniki, G eece
3Labo a o y o A mosphe ic Physics, School o Physics, A is o le Uni e si y o Thessaloniki,
54124 Thessaloniki, G eece
4Resea ch Cen e o A mosphe ic Physics and Clima ology, Academy o A hens, 10680 A hens, G eece
5Depa men o Physics and As onomy, Ea h Obse a ion Science G oup,
Uni e si y o Leices e , Leices e LE1 7RH, UK
6En i onmen al Chemical P ocesses Labo a o y, Depa men o Chemis y,
Uni e si y o C e e, He aklion, G eece
7Eu opean Cen e o Medium-Range Wea he Fo ecas s, Reading RG2 9AX, UK
8Is i u o Nazionale di Geo isica e Vulcanologia, Osse a o io E neo, 95125 Ca ania, I aly
Co espondence: Anna Kampou i ([email p o ec ed])
Recei ed: 14 Oc obe 2024 – Discussion s a ed: 3 Janua y 2025
Re ised: 28 Ma ch 2025 – Accep ed: 28 Ma ch 2025 – Published: 14 July 2025
Abs ac . Modeling he dispe sion o olcanic pa icles ollowing explosi e e up ions is c i ical o a ia ion
sa e y. To cons ain he dispe sion o olcanic plumes and assess haza ds, calcula ions ely on he accu a e
cha ac e iza ion o he e up ion’s sou ce e m, e.g., a ia ion in emission a e and column heigh wi h ime and
he p e ailing wind ields. This s udy in oduces an in e se modeling amewo k ha in eg a es a Lag angian
dispe sion model wi h lida obse a ions o es ima e emission a es o olcanic pa icles eleased du ing an E na
e up ion. The me hodology consis s o using he FLEXPART model o gene a e sou ce– ecep o ela ionships
(SRRs) be ween he olcano and he lida sys em ha obse ed he olcanic plume. These SRRs a e hen used
o de i e he emission a es based on obse a ional da a, including olcanic ash plume heigh s om he INGV-
EO obse a o y and PollyXT lida e ie als. We le e age da a om he ACTRIS PollyXT lida ha ope a es a
he PANhellenic GEophysical obse a o y o An iky he a o he Na ional Obse a o y o A hens (PANGEA-
NOA). The in e sion algo i hm u ilizes lida obse a ions and an empi ical a p io i emission p o ile o es ima e
he olcanic pa icle sou ce s eng h, accoun ing o al i ude and ime o he plume’s e olu ion. Addi ionally, o
s udy he impac ha he wind ields ha e on olcanic ash o ecas ing, he expe imen is epea ed using ields
ha assimila e Aeolus wind lida da a. Ou app oach applied o he 12 Ma ch 2021 E na e up ion and accu a ely
cap u es a dense ae osol laye be ween 8 and 12km abo e he PANGEA-NOA s a ion. Resul s show a minimal
di e ence o he o de o 2% be ween he obse ed and he simula ed ash concen a ions. Fu he mo e, he
s uc u e o he a pos e io i ash plume closely esembles he ash cloud image cap u ed by he SEVIRI sa elli e
abo e An iky he a island, highligh ing he no el y o he in e sion esul s. The p esen ed in e sion algo i hm,
coupled wi h Aeolus da a, op imizes bo h he e ical emission dis ibu ion and E na emission a es, ad ancing
ou unde s anding and p epa edness o olcanic e en s.
Published by Cope nicus Publica ions on behal o he Eu opean Geosciences Union.
7344 A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions
1 In oduc ion
Volcanic ash cons i u es a signi ican haza d o a ia ion when
i is emi ed a ai c a c uising al i udes (9–11km), wi h po-
en ial consequences including ai c a engine ailu e (Gu -
an i e al., 2005), inaccu a e eadings o c i ical na iga ional
ins umen s, and educed isibili y due o ex e nal ai c a
co osion (Cla kson and Simpson, 2017; ICAO, 2016).
In he case o a olcanic e up ion, u gen decisions a e
necessa y o de e mine sa e ligh ou es and o ensu e ha
ai bo ne ai c a land sa ely. While sa e y emains he op
p io i y, he g ounding and e ou ing o ligh s lead o la ge
inancial losses, e.g., he 2010 e up ion o Eyja jallajökull in
Iceland epo edly cos he ai line indus y o e USD 1 bil-
lion (Mazzocchi e al., 2010; Ox o d Economics, 2012).
In o ma ion on olcanic ash dispe sion a e an e up ion
is p o ided o ope a o s by specialized ea ly wa ning sys-
ems (EWSs) ope a ed by he Volcanic Ash Ad iso y Cen-
e s (VAACs) (Fea nley e al., 2018). These sys ems ypically
ely on de e minis ic olcanic ash anspo and dispe sion
models (VATDM) o o e sho - e m o ecas s o he ol-
canic ash cloud. Al hough VAACs speci y he expec ed loca-
ion o he ash cloud, usually hey do no p o ide quan i a i e
in o ma ion abou ash concen a ion. In he spo ligh o he
expec ed ise in he numbe o ligh s o e olcanically ac i e
egions in he nea u u e (as indica ed by EUROCONTROL,
2022), he p obabili y o encoun e ing olcanic ash a ai c a
c uising al i udes will p opo ionally inc ease. Consequen ly,
he challenge is o minimize unce ain ies in sho - e m o e-
cas s o olcanic ash dispe sion.
The p ima y sou ces o unce ain ies in de e minis ic
anspo models o igina e om he e up ion sou ce pa am-
e e s, he a ious model pa ame e iza ions (such as we de-
posi ion), and he d i ing me eo ological condi ions (Dac e
e al., 2011; P a a and Lynch, 2019; S ohl e al., 2011). Typ-
ically, olcanic ash anspo and dispe sion models (VAT-
DMs) equi e he speci ica ion o pa ame e s abou he ol-
canic e en , including a e ical p o ile o ash emission a es,
pa icle size dis ibu ion, and ash densi y (Ha ey e al.,
2020). The e up ion s a ime can be es ima ed h ough sa el-
li e obse a ions o by local olcano obse a o ies. Va ious
emo e sensing echniques exis o es ima e he heigh o he
ash plume (Pe e sen e al., 2012). I should be men ioned ha
in o ma ion ha elies on obse a ions om passi e senso s
has limi ed sensi i i y o he ash laye heigh . Mass e up ion
a es a e ypically e alua ed using empi ical ela ionships
based on obse ed plume heigh s (Mas in e al., 2009). How-
e e , hese empi ical ela ionships o en ail o conside sec-
onda y ac o s in luencing plume heigh , such as me eo olog-
ical condi ions. The long- ange anspo o olcanic pa i-
cles is in luenced by oposphe ic and/o s a osphe ic winds,
pa icula ly he e ical wind shea , which is equen ly inac-
cu a ely ep esen ed in nume ous nume ical wea he p edic-
ion (NWP) models (Ha ey e al., 2020; Houchi e al., 2010;
S o elen e al., 2020).
Mo eo e , olcanic pa icles can in luence he plane a y
adia i e balance h ough bo h di ec and indi ec e ec s, in-
oducing signi ican unce ain ies in plume dispe sion and
li e ime. The di ec e ec in ol es he sca e ing and abso p-
ion o sola and e es ial adia ion, whe e ine ash and sul-
a e ae osols con ibu e o su ace cooling o a mosphe ic
wa ming depending on pa icle composi ion, size dis ibu-
ion, and injec ion plume heigh (Robock, 2000; Sica d e al.,
2025). The indi ec e ec ela es o he ole o olcanic pa i-
cles in cloud mic o- and mac ophysical p ope ies. Ash pa i-
cles can ac as cloud condensa ion nuclei (CCN), acili a ing
wa e d ople o ma ion and, unde speci ic p essu e and em-
pe a u e condi ions, as ice nuclei (IN) (Gue ie i e al., 2023).
These p ocesses can al e cloud op ical and mic ophysical
p ope ies, enhance cloud e lec i i y, a ec cloud li e imes,
and inc ease he unce ain ies in adia i e ans e . Addi ion-
ally, olcanic ice clouds can hide possible ash laye s and pose
a se e e h ea o a ia ion sa e y. A mosphe ic anspo mod-
els o en s uggle o accoun o hese complex in e ac ions,
leading o unce ain ies in plume e olu ion, ajec o y o e-
cas s, and deposi ion es ima es. Fu he mo e, he absence o
signi ican physical p ocesses, dependence on empi ical ela-
ions, and da a om p e ious e up ions u he con ibu e o
subs an ial unce ain ies in es ima es o he e up ed mass.
O e he pas wo decades, signi ican p og ess has been
made in in eg a ing emo e sensing da a in o a mosphe ic
anspo models o enhance he o ecas ing o olcanic emis-
sions and hei dispe sion. Sa elli e obse a ions om bo h
pola -o bi ing and geosynch onous he mal in a ed ins u-
men s ha e been used o e ie e ash mass loadings (Cla isse
e al., 2010; Pa olonis e al., 2013; P a a and P a a, 2012).
Addi ional senso s, including he Mode a e Resolu ion Imag-
ing Spec ome e (MODIS), Second Gene a ion Spinning
Enhanced Visible and In a-Red Image (SEVIRI), A mo-
sphe ic In a-Red Sounde (AIRS), Ozone Moni o ing In-
s umen (OMI), Mul i-angle Imaging Spec oRadiome e
(MISR), and CALIOP lida on boa d he CALIPSO ha e p o-
ided aluable da a on olcanic ash de ec ion and e ie als
(Eckha d e al., 2008; F ancis e al., 2012). A comp ehen-
si e discussion on he applica ion o sa elli e emo e sensing
o olcanic ash moni o ing in a ia ion haza d mi iga ion is
p o ided by P a a (2009).
In addi ion, g ound-based lida ne wo ks, such as he Eu-
opean Ae osol Resea ch Lida Ne wo k (EARLINET), ha e
played a c ucial ole in alida ing he accu acy o anspo
model ou pu s and imp o ing dispe sion simula ions by p o-
iding high- esolu ion e ical p o iles o olcanic ae osols
(Pappala do e al., 2004).
Ad ancemen s in a mosphe ic anspo and dispe -
sion modeling ha e u he acili a ed he in eg a ion o
hese obse a ional da ase s. Models like he Nume ical
A mos. Chem. Phys., 25, 7343–7368, 2025 h ps://doi.o g/10.5194/acp-25-7343-2025
A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions 7345
A mosphe ic-dispe sion Modelling En i onmen (NAME;
Jones e al., 2007) (which is used ope a ionally by he Lon-
don Volcanic Ash Ad iso y Cen e, o LVAAC), he Hy-
b id Single-Pa icle Lag angian In eg a ed T ajec o y (HYS-
PLIT) model (S ein e al., 2015), and he FLEXible PARTi-
cle (FLEXPART) dispe sion model (Eckha d e al., 2008;
K is iansen e al., 2010, 2012, 2014; S ohl e al., 2011) ha e
been ex ensi ely used o olcanic ash o ecas ing, o en in-
co po a ing sa elli e and lida da a o e ine model inpu s and
imp o e p edic i e accu acy.
The in eg a ion o emo e sensing da a in o a mosphe ic
anspo models has been signi ican ly ad anced h ough in-
e sion algo i hms. In p e ious s udies (Eckha d e al., 2008;
K is iansen e al., 2010), in e sion algo i hms we e de el-
oped using sa elli e column e ie als and es ed o es ima e
he e ical dis ibu ion o sul u dioxide (SO2) emission
a es o quasi-ins an aneous olcanic e up ions such as he
2007 Jebel a Tai and he 2008 Kasa ochi e up ions. Seibe
e al. (2011) examined he unce ain ies o he a ious con-
igu a ions o he 2008 Kasa ochi case s udy and expanded
he me hod o es ima e he unce ain y o he e ie ed sou ce
emissions (a pos e io i unce ain ies).
The in e sion algo i hm was u he used by S ohl e al.
(2011) o olcanic ash emission a es as a unc ion o al i-
ude and ime, while K is iansen e al. (2012) imp o ed he
olcanic ash in e sion echniques using a ious inpu s o be -
e cons ain he 2010 Eyja jallajökull e up ion.
Ami idis e al. (2023) demons a ed ha olcanic ash ea ly
wa ning sys ems can be signi ican ly enhanced by he assim-
ila ion o Aeolus wind ields. No ably, hese imp o emen s
a e mos p onounced o e unde -sampled geog aphical e-
gions, such as he Medi e anean Sea, as olcanoes a e o -
en si ua ed in emo e a eas lacking su ace-based obse a-
ion ne wo ks. Mo eo e , he s udy indica es ha he pos-
i i e e ec o Aeolus wind da a assimila ion is mo e p o-
nounced in he middle and uppe oposphe e (mos ly be-
ween 7 and 15km) compa ed o he lowe oposphe e. This
may highligh unde -sampling issues, since he in si u ob-
se a ions (like adiosondes) adi ionally used o da a as-
simila ion exhibi lowe e ical esolu ion in he uppe o-
posphe e (Rennie e al., 2021). Conside ing ha olcanic
ash plumes a e ypically injec ed in o uppe - oposphe ic and
lowe -s a osphe ic heigh s, hei anspo is la gely in lu-
enced by uppe - oposphe ic winds, hence accu acy in dis-
pe sion modeling is ad anced om high-accu acy wind ield
assimila ion.
Building on hese ad ancemen s, ou s udy u he in es-
iga es imp o emen s in ash emission es ima ions by de el-
oping an in e sion me hod ha in eg a es Aeolus wind da a,
g ound-based lida obse a ions, and anspo model simu-
la ions. This app oach aims o enhance he accu acy o ol-
canic emission sou ce e ms and o educe unce ain ies in
dispe sion o ecas ing.
We speci ically ocus on he E na e up ion ha occu ed on
12 Ma ch 2021, coinciding wi h he in es iga ions p o ided
by Ami idis e al. (2023) and Kampou i e al. (2023). Du ing
his e en , Aeolus had a close o e pass o E na, p o iding
aluable obse a ions a ound he olcano. Addi ionally, he
anspo ed olcanic plume was cap u ed in he eas e n e-
gion o he Medi e anean by he g ound-based PollyXT lida
sys em o he PANhellenic GEophysical obse a o y o An-
iky he a o he Na ional Obse a o y o A hens (PANGEA-
NOA) in G eece, downwind o he E na olcano. This allows
o di ec compa isons o obse a ions agains o ecas s, wi h
and wi hou he assimila ion o Aeolus da a, deno ed as “w”
and “w/o” Aeolus, espec i ely (as indica ed in he s udies by
Ami idis e al., 2023; Kampou i e al., 2023).
2 The case o he E na olcanic e up ion o
12–14 Ma ch 2021
2.1 Volcanic ac i i y
M . E na in I aly, ecognized as one o he mos ac i e ol-
canoes on Ea h, has unde gone signi ican olcanic ac i i y,
pa icula ly since Feb ua y 2021. Du ing his pe iod, he s a-
o olcano expe ienced nume ous pa oxysmal episodes, lead-
ing o equen eph a and SO2emissions. A no able e en
occu ed on 12 Ma ch 2021, ma king one o he mos powe -
ul la a oun ain episodes obse ed a he sou heas e n c a e
since 2020 (Cal a i e al., 2021). The olcanic ac i i y s a ed
wi h S ombolian- ype e up ions a a ound 02:35UTC, esca-
la ing in bo h equency and in ensi y un il 07:35UTC, when
su eillance came as om he Is i u o Nazionale di Geo isica
e Vulcanologia, Osse a o io E neo (INGV-OE) (Co adini
e al., 2018; Scollo e al., 2019) cap u ed he o ma ion o a
sus ained la a oun ain.
Th oughou he pa oxysmal phase, he e up i e column
g adually eached a heigh o 9kma.s.l.(Fig. 1). The a i-
a ion in he e up ion column was de ec ed by he isual
su eillance came a in he CUAD in Ca ania (ECV), cal-
ib a ed by INGV-OE (Fig. 1). The olcanic plume d i ed
eas wa ds unde he in luence o he p e ailing wes e ly
winds dominan in he eas e n Medi e anean egion a he
ime. Acco ding o he Volcano Obse a o y No ice o A i-
a ion (VONA) messages, he INGV-EO obse a o y (INGV,
2025; Co adini e al., 2018; Scollo e al., 2019) issued a ed
wa ning ale , om 06:18 o 08:44UTC, on 12 Ma ch 2021,
when he s onges ash emission was obse ed, while an o -
ange ale was issued a 12:30UTC when he la a oun ain
ceased, and he olcanic ash plume was dispe sed in o he
a mosphe e (Cal a i e al., 2021). Addi ionally, he e up i e
ac i i y esul ed in abundan eph a allou , co e ing se e al
owns on he eas e n lank o he olcano c a e , wi h a la a
low ield expanding on he eas e n and no heas e n lank. In
his s udy, he cloud heigh s epo ed by VONA a e used as
a p io i in o ma ion o ini ialize he olcanic ash dispe sion
simula ions, conduc ed wi h he FLEXPART ( lexible pa i-
cle dispe sion) Lag angian model (B ioude e al., 2013; Pisso
e al., 2019; S ohl e al., 2005). The FLEXPART ash ans-
h ps://doi.o g/10.5194/acp-25-7343-2025 A mos. Chem. Phys., 25, 7343–7368, 2025
7346 A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions
Figu e 1. E na ac i i y on 12 Ma ch 2021 as seen om INGV-OE. Ash plume images om an ECV calib a ed came a moni o ed he explosi e
olcanic ac i i y be ween 5 and 9 kma.s.l.(a) Weak ash plume a 06:30UTC, wi h an uppe pa aligning mo e e ically. (b) S ong e ical
plume a 08:00UTC, which shi ed eas wa d. (c) S ong ash plume a 09:00UTC, wi h a lowe and mo e dilu ed cloud caused by he la a
low expanding eas wa d. (d) Dec ease in he explosi e ac i i y a e 10:00UTC. Figu es a e aken om he INGV-OE au oma ic sys em
desc ibed in Co adini e al. (2018) and Scollo e al. (2019).
po model is d i en by wind ields simula ed by he WRF
egional me eo ological model ( e sion 4) (Skama ock e al.,
2019), which, in u n, de i es ini ial and bounda y condi-
ions om he Eu opean Cen e o Medium-Range Wea he
Fo ecas s (ECMWF) In eg a ed Fo ecas ing Sys em (IFS)
(ECMWF, 2021a) global model ( o addi ional in o ma ion,
see Sec . 3.3).
3 Me hods and da a
The in e se me hod employed in his s udy o es ima e ol-
canic ash emissions in eg a es a p io i in o ma ion on ash
emissions, g ound-based lida obse a ions, and simula ions
wi h a dispe sion model, esul ing in imp o ed ash emission
es ima es. Figu e A1 p esen s a schema ic wo k low ou lin-
ing he me hodology ollowed in his s udy, p o iding a clea
o e iew o he s eps in ol ed in ou app oach. In his sec-
ion, we desc ibe he da ase s and me hods employed in he
in e se modeling p ocess.
3.1 PANGEA-NOA g ound-based da a (lida PollyXT)
The PANGEA-NOA obse a o y es ablished i s i s ope -
a ions in June 2018 on he emo e island o An iky he a,
G eece. The a mosphe ic ci cula ion pa e n a PANGEA-
A mos. Chem. Phys., 25, 7343–7368, 2025 h ps://doi.o g/10.5194/acp-25-7343-2025
A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions 7347
NOA a o s he anspo o ai masses ca ying an abun-
dance o di e en ae osol ypes such as windblown Saha a
dus , E na olcanic ae osols, smoke om wild i es, and an-
h opogenic pollu ion om majo ci ies. Hence, his coas al
si e cons i u es an ideal place o s udy na u al ae osols unde
he p e ailing backg ound condi ions o he eas e n Medi e -
anean.
The Medi e anean egion, pa icula ly i s eas e n basin,
se es as a con luence o ai masses o igina ing om Eu-
ope, Asia, and A ica. In his egion, an h opogenic emis-
sions om la ge u ban cen e s in e ac wi h na u al emis-
sions om he Saha an and Middle Eas e n dese s, smoke
om equen wild i es, and olcanic pa icles om e up-
ions, no ably om M . E na and Icelandic olcanoes. Addi-
ionally, he a mosphe e o e he eas e n Medi e anean con-
ains backg ound ma ine ae osols and pollen pa icles om
oceanic and ege a i e sou ces. Ae osols exe a a ie y o
e ec s on he egional wea he and clima e, impac ing sola
adia ion, isibili y, and human heal h, and hey pose signi i-
can conce ns o a ia ion sa e y (WMO, 2024).
The eas e n Medi e anean is cha ac e ized by a Medi e -
anean clima e, wi h ho , d y summe s and mild, we win-
e s. This seasonal a iabili y is d i en p ima ily by he
in e ac ion be ween mid-la i ude wes e lies and sub opical
high-p essu e sys ems (Lensky e al., 2018). Du ing win e ,
he egion expe iences he equen passage o ex a opical
cyclones o igina ing om he No h A lan ic and Medi e -
anean s o m acks, b inging p ecipi a ion and colde em-
pe a u es. In con as , summe condi ions a e domina ed by
he expansion o he sub opical heigh , leading o s able a -
mosphe ic condi ions and minimal ain all (ECMWF, 2010).
Synop ic-scale ci cula ion in he eas e n Medi e anean
plays a c ucial ole in shaping wea he pa e ns and a mo-
sphe ic dynamics. The a mosphe ic ci cula ion o e he eas -
e n Medi e anean is domina ed by pe sis en no he ly and
wes e ly winds, a o ing he ad ec ion o olcanic p oduc s
om E na o G eece (Kampou i e al., 2020; Scollo e al.,
2013). Resea ch has iden i ied se e al dominan synop ic
ypes ha in luence he egion, including cyclonic sys ems,
an icyclonic pa e ns, and blocking heigh s (Rousi e al.,
2014). These ci cula ion pa e ns signi ican ly impac he
anspo o ae osols, mois u e, and pollu an s, a ec ing e-
gional ai quali y and clima e a iabili y. Fu he mo e, he
egion’s p oximi y o la ge-scale ci cula ion ea u es such as
he sub opical je s eam and he A ican monsoon sys em
con ibu es o complex seasonal in e ac ions (Lensky e al.,
2018).
Cu en ly, a PollyXT lida sys em (Baa s e al., 2017; En-
gelmann e al., 2016) and a sun–sky pho ome e o CIMEL
Elec onique (Giles e al., 2019; Goloub e al., 2007) ope -
a e con inuously a PANGEA-NOA o p o ide p o iles and
columna ae osol p ope ies wi h high accu acy and esolu-
ion.
PollyXT is a mul i-wa eleng h Raman pola iza ion lida
wi h 24/7 emo e ope a ion capabili y. The sys em ope a es
in 355, 532, and 1064nm and is equipped wi h 12 de ec o s
o measu e ligh elas ically and inelas ically (a 387, 407, and
607nm), backsca e ed om a mosphe ic cons i uen s. Po-
la iza ion capabili y also enables he de ec ion and e ical
sepa a ion o non-sphe ical (e.g., olcanic ash, dus ) om
sphe ical ae osols (e.g., smoke, pollu ion, ma ine pa icles).
The CIMEL sun–sky pho ome e measu es di ec sola
and sky adiance a se e al wa eleng hs (340, 380, 440, 500,
675, 870, 1020, and 1640nm) o de i e column-in eg a ed
ae osol op ical and mic ophysical p ope ies (Dubo ik e al.,
2006).
Obse a ions om bo h senso s a e o s ong in e -
es o Pan-Eu opean and global ne wo ks such as he
Ae osol, Clouds and T ace Gases Resea ch In as uc u e
(ACTRIS-RI), he Eu opean Ae osol Resea ch Lida Ne -
wo k (EARLINET), and he global AE osol RObo ic NET-
wo k (AERONET: h ps://ae one .gs c.nasa.go /, las access:
27 June 2025). In all o hese ne wo ks, measu emen s aken
a PANGEA-NOA a e submi ed on a egula basis.
3.1.1 Ash mass calcula ions using emo e sensing da a
Volcanic ash mass es ima es we e de i ed om a combi-
na ion o PollyXT lida measu emen s and sun pho ome e
obse a ions. Fi s , he lida measu emen s we e a e aged
o e he 3 h pe iod when he olcanic laye was obse ed
abo e An iky he a, and he s anda dized EARLINET algo-
i hm Single Calculus Chain (SCC) (D’Amico e al., 2015)
was used o de i e he pa icle backsca e coe icien (βp)
and pa icle linea depola iza ion a io (δp) p o iles.
These p o iles we e hen used o disen angle he con ibu-
ion o la ge, non-sphe ical ash pa icles om he obse ed
olcanic plume and o calcula e he ash mass concen a-
ion wi h he POla iza ion-LIda PHO ome e Ne wo king
(POLIPHON) me hod (Ansmann e al., 2012; Mamou i and
Ansmann, 2017), ailo ed o E na ash, as desc ibed in Kam-
pou i e al. (2020).
Mo e speci ically, he ollowing equa ion was used:
ma=ρa×c ,a(λ)×βp,a(h,λ)×Sp,a(h,λ),(1)
whe e mis he mass concen a ion, aindica es an ae osol
ype, ρ ep esen s he pa icle mass densi y ( o olcanic ash
pa icles, his is 2.6±0.6 gm−3 ollowing he s udy o Ans-
mann e al., 2011a), λis he wa eleng h, c (λ) is he so-
called olume- o-ex inc ion con e sion ac o (de i ed om
sun pho ome e measu emen s), his he heigh abo e g ound,
and Sp(λ,h) is he a io o he pa icle ex inc ion o pa icle
backsca e coe icien (lida a io).
As he macalcula ion is sensi i e o he ae osol ype, unde
he simul aneous p esence o mul iple ae osol componen s
in he a mosphe ic column, a decomposi ion o he o al pa -
icle backsca e coe icien βpis needed p io o he mass
concen a ion calcula ion. In POLIPHON, his decomposi-
ion is suppo ed o up o wo ae osol ypes, one exhibi -
ing la ge pa icle depola iza ion a io alues (usually dus
h ps://doi.o g/10.5194/acp-25-7343-2025 A mos. Chem. Phys., 25, 7343–7368, 2025

7348 A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions
Table 1. Pa ame e s used o lida p o ile decomposi ion and mass concen a ion calcula ion.
ρα[µmcm−3]cν,α,532nm δp,α,532nm(h)Sp,α,532nm(h) [s ]
Ash pa icles 2.6±0.6 0.6±0.1 0.36±0.02 50±10
Sul a es 1.5±0.3 0.18±0.02 0.05±0.01 60±20
o olcanic ash) and one ha does no (ma ine, con inen-
al, o oposphe ic smoke and hei mix u es). To sepa a e
he con ibu ion o he depola izing (βp,d(h,λ)) and he non-
depola izing (βp,nd(h,λ)) ae osol componen om he o al
pa icle backsca e coe icien , we apply he ollowing equa-
ions:
βp,d(h,λ)=βp(h,λ)
×(δp(h,λ)−δp,nd(h,λ))(1+δp,d(h,λ))
(δp,d(h,λ)−δp,nd(h,λ))(1+δp(h,λ)) (2)
βp,nd(h,λ)=βp(h,λ)−βp,d(h,λ).(3)
PollyXT lida signals a e sensi i e o ae osol pa icles in
he adius ange om abou 50nm o a ew mic ome e s
(Wei kamp, 2005). Fo FLEXPART, he size ange consid-
e ed o olcanic ash pa icles is be ween 5 and 21 µm in
diame e and hus wi hin he ange ha is de ec able by
PollyXT. Unce ain ies in he ash mass concen a ion calcu-
la ion using he POLIPHON me hod a ise om he inpu pa-
ame e e o s ha p opaga e in o Eq. (1) and a e expec ed o
be in he o de o ∼40% (Ansmann e al., 2011b). The ech-
nique has been alida ed agains syne gis ic e ie als ha
combine mul i-wa eleng h lida and sun–sky adiome e ob-
se a ions (sensi i e up o 15µm in pa icle adius (Lopa in
e al., 2013, 2021)) o dus and olcanic ash pa icles and
has been ound o pe o m well (Kons a e al., 2021; Wagne
e al., 2013).
In Table 1, we summa ize he alues and unce ain ies o
he pa ame e s used as inpu o he abo e. The lida a io
o coa se-mode olcanic ash a 532nm is epo ed o ange
be ween 40 and 60s in he li e a u e (see o example G oß
e al., 2012; Table 3 o pa icle ex inc ion and backsca e
alues in Flou si e al., 2023; and Gas eige e al., 2011).
Fo he ine-mode ae osols, we use a mean alue o 60 s ,
ollowing he alues epo ed in he li e a u e o pa icles
o a sul u ing na u e (see o example Flou si e al., 2023;
Mülle e al., 2007). We also accoun o a lida a io e-
ie al unce ain y o ∼30% o cap u e he measu emen
ange (Ansmann e al., 2012; Giannakaki e al., 2015; G oß
e al., 2013). The pa icle densi y alues ρ ollow om he
OPAC model o he coa se-mode mine al componen and
he wa e -soluble componen o ash and sul a e pa icles, e-
spec i ely (Hess e al., 1998; Koepke e al., 2015). Fo he
wa e -soluble componen , we assume alues a a ela i e hu-
midi y o 0%, which is conside ed ep esen a i e o he al-
i udes o he olcanic laye s. The coa se-mode componen
is no conside ed o be hyd ophilic. Finally, he ex inc ion-
o-mass con e sion ac o s c a e aken om Ansmann e al.
(2011a) o ash and ine-mode pa icles, espec i ely.
3.2 Aeolus high-spec al- esolu ion lida (HSRL) da a
Aeolus, he wind mission o he Eu opean Space Agency
(ESA), ca ied he wo ld’s i s high-spec al- esolu ion
Dopple wind lida in space (S o elen e al., 2006; S aume-
Lindne e al., 2021). Launched in Augus 2018, Aeolus’s
aim was o e ie e ho izon al wind p o iles in he opo-
sphe e and lowe s a osphe e. The mission’s p ima y objec-
i e was o showcase his inno a i e echnology in space o
enhance wea he o ecas s and o ad ance ou unde s and-
ing o a mosphe ic dynamics, pa icula ly in he opics.
Addi ionally, Aeolus aimed o con ibu e aluable insigh s
in o he in ica e in e ac ions be ween he a mosphe ic con-
s i uen s, wa e cycles, and b oade clima e sys em (Rennie
e al., 2021; S aume-Lindne e al., 2021). Aeolus wind da a
demons a ed no able quali y and co e age, leading o sub-
s an ial enhancemen s in NWP o ecas s, pa icula ly wi hin
he opics and Sou he n Hemisphe e. The imp o emen in
wind o ecas anges om 0.5% o 2%, in e ms o oo
mean squa e e o , main ains a signi ican impac e en in
medium- ange wea he o ecas ing. The mos subs an ial im-
pac was obse ed a app oxima ely 100hPa in he opics,
pa icula ly o e he eas e n Paci ic Ocean. This is a ibu ed,
in pa , o he opics ha ing a ela i ely limi ed co e age
o high-quali y adiosonde wind p o iles. Addi ionally, he
wind ield in he opics is less cons ained by empe a u e
in o ma ion om o he sa elli es (Rennie e al., 2021). Fu -
he mo e, Aeolus had he capabili y o e ie e ae osol and
cloud p o iles, o e ing aluable da a o assimila ion o e al-
ua ion in olcanic ash dispe sion modeling. I is essen ial o
no e, howe e , ha hese e ie als ace limi a ions due o
he absence o a dedica ed lida channel o de ec ing c oss-
pola ized ligh e u ns (wi h espec o he emi ed adia-
ion). This absence is pa icula ly c ucial o cap u ing he
backsca e ed ligh om non-sphe ical pa icles like olcanic
ash. Consequen ly, cau ion is ad ised when u ilizing Aeolus
obse a ions in such cases. Despi e his limi a ion, he Aeo-
lus mission demons a ed i s e icacy in enhancing wind o e-
cas s, pa icula ly o e unde -sampled egions, such as he
opics (Rennie e al., 2021). Simila ly, Aeolus can be used
o e unde -sampled emo e a eas wi h ac i e olcanoes, con-
ibu ing o imp o ed simula ions o olcanic ash dispe sion
ollowing e up ions.
A mos. Chem. Phys., 25, 7343–7368, 2025 h ps://doi.o g/10.5194/acp-25-7343-2025
A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions 7349
Table 2. Con igu a ion o he PP schemes o he WRF-ARW simula ions.
PP Schemes Re e ences
Mic ophysics (MP) Thompson Thompson e al. (2008)
Su ace laye (SFL) Monin–Obukho (Janjic E a) Janjic (2002)
Plane a y bounda y laye (PBL) Mello –Yamada–Janjic (MYJ) Janjic (2003)
Cumulus pa ame e iza ion (CUM) Tied ke Zhang e al. (2011)
Longwa e and sho wa e adia ion (RAD) Rapid adia i e ans e model (RRTM) Iacono e al. (2008)
Land su ace (LSM) NOAH Chen and Dudhia (2001)
3.3 FLEXPART-WRF model se up
To pe o m me eo ological simula ions o e he s udy e-
gion o he eas e n Medi e anean, he Ad anced Resea ch
WRF model ( e sion 4) (Skama ock e al., 2019) is used.
The spa ial esolu ion o he model is 12km×12 km o a
o al o 351×252 g id poin s and 31 e ical le els (up o
50hPa). The simula ion pe iod s a s on 12 Ma ch 2021 a
00:00UTC (6 h ea lie han he FLEXPART uns o accom-
moda e he model’s 12 h spin-up) and ends on 14 Ma ch 2021
a 18:00UTC, wi h hou ly ou pu s. Table 2 summa izes he
physics pa ame e iza ion (PP) schemes o he WRF-ARW
simula ions.
In he con ex o his s udy, wo e sions (ECMWF, 2021a)
o he ini ial and bounda y condi ion ields om he IFS
we e u ilized. These ields, p o ided a a spa ial esolu ion
o 0.125°×0.125°, wi h 137 e ical model le els, se e as
inpu s o he WRF-ARW egional model. One e sion inco -
po a es assimila ed Aeolus Rayleigh-clea and Mie-cloudy
ho izon al line-o -sigh (HLOS) L2B wind p o iles ( e e ed
o as he “w” Aeolus expe imen ), while he o he e sion
is wi hou Aeolus da a ( e e ed o as he “w/o” Aeolus ex-
pe imen ). The ini ial condi ions wi hou Aeolus assimila ion
adhe e o he model se up u ilized in he obse ing sys em
expe imen s (OSEs) conduc ed by S o elen e al. (2006).
The WRF-ARW uns ely on ini ial and bounda y con-
di ions gene a ed om ECMWF-IFS, wi h bounda y condi-
ions upda ed a 6-hou in e als. Sea su ace empe a u e
(SST) analysis da a, ob ained om he Cope nicus Ma ine
En i onmen Moni o ing Se ice (CMEMS) a a spa ial es-
olu ion o 1/12° supplemen hese simula ions. The WRF-
ARW model con igu a ion u ilized in his s udy is consis en
wi h ha employed in he s udy o Ami idis e al. (2023).
The olcanic ash plume anspo simula ions we e done
wi h he Lag angian pa icle dispe sion model FLEXPART
(B ioude e al., 2013; Pisso e al., 2019; S ohl e al., 2005) in
a o wa d mode. These simula ions ely on hou ly me eo o-
logical ields om he WRF-ARW model, ini ia ed wi h IFS
da ase s. The use o 1-hou ly WRF me eo ological ields a a
12km ×12 km spa ial esolu ion allows o a mo e de ailed
ep esen a ion o he olcanic plume dispe sion. The ini ial
simula ions, in which we used an a p io i emission p o ile
o he e up ion emissions aken om VONA ale s ( om
now on e e ed o as “a p io i olcanic ash plume ans-
po ”), we e ini ia ed a he epo ed s a ime o he e up-
ion a 07:00UTC on 12 Ma ch 2021 and we e comple ed a
00:00UTC on 14 Ma ch 2021, wi h a o al o 100000 pa i-
cles eleased in each o ecas . The model laye s we e di ided
in o 18 laye s wi h 1km e ical esolu ion in he ange ex-
ending om 1 o 18km abo e g ound le el (a.g.l.). We es i-
ma e he a p io i mass e up ion a e (MER) o ash pa icles
ollowing Mas in e al. (2009) and Scollo e al. (2019) by
in e ing he obse ed plume heigh s o e he E na summi
c a e om he VONA epo s and ield obse a ions, as ob-
se ed by he INGV obse a o y, using he 1D plume model
o Deg uy e and Bonadonna (2012). The ini ial injec ion
heigh in he model is se o he al i ude o he E na summi
c a e s (3.3kma.s.l.) up o 9 kma.s.l., based on he VONA
epo s (Co adini e al., 2018; Scollo e al., 2019) and ield
obse a ions. Also, he g a i a ional pa icle se ling (Näs-
lund and Thaning, 1991) was de e mined assuming sphe ical
pa icles wi h a densi y o 2450kgm−3. The pa icle den-
si y alue used in he FLEXPART model di e s sligh ly om
he densi y used in Table 1 (2.6±0.6gcm−3) due o di e -
ences in shape assump ions, size dis ibu ions, and li e a u e
sou ces e e enced in a ious calcula ions. The size dis ibu-
ion o olcanic ash pa icles was desc ibed using ou size
bins (3, 5, 9, and 21µm in diame e ), as hese co e he size
dis ibu ion ele an o long- ange anspo (≤25µm diam-
e e ) (Becke e al., 2022; Dac e e al., 2011; Du an e al.,
2010).
To de i e he sou ce– ecep o ela ionships (SRRs), he
FLEXPART-WRF model was used, once again in a o wa d
mode (see Appendix A, Fig. A2), conside ing he same ou
ash size bins as hose used in he a p io i olcanic ash plume
anspo . The SRR model da a, which ep esen all po en-
ial dispe sion scena ios o he ash plume, a e compa ed wi h
he lida e ie als a PANGEA-NOA. Fo each g id poin
in he conside ed domain, he FLEXPART ash column load-
ings eleased om one pa icula emission ime and heigh
a e ma ched wi h he co esponding ime and g id poin o
he lida ash mass e ie al.
The FLEXPART SRRs we e d i en by he same hou ly
me eo ological ields om he WRF-ARW model, u ilizing
bo h con ol and assimila ed da ase s (ECMWF, 2021) o
quan i a i ely e alua e he impac o da a assimila ion. Sub-
sequen ly, hese SRRs we e used o ini ialize he in e sion al-
h ps://doi.o g/10.5194/acp-25-7343-2025 A mos. Chem. Phys., 25, 7343–7368, 2025
7350 A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions
go i hm, cons ained by he PollyXT g ound-based lida mea-
su emen s o olcanic pa icles.
I was assumed ha he ash emissions occu ed be ween
he g ound and 16kma.g.l.o e he E na olcano. The o al
heigh ange was disc e ized in o 79 laye s o 200m hick-
ness. Fo each laye , 150 000 uni mass pa icle aces we e
uni o mly eleased along a e ical line sou ce e e y 2 h
( om 04:00 o 06:00UTC un il 12:00 o 14:00 UTC). Ad-
di ionally, he model laye s we e di ided in o 74: 70 lay-
e s be ween 200m and 14 km, wi h a e ical esolu ion o
200m; 3 laye s be ween 14 and 16 kma.g.l.(pe 1km); and
ano he laye om 22 o 50kma.g.l.These model-de i ed
column alues ep esen sou ce– ecep o ela ionships, since
hey we e ob ained wi h a uni mass as he sou ce. The ac ual
mass eleased a each le el is de e mined h ough he in e -
sion. Following he in e sion, a single, longe “pos e io i”
simula ion o e he pe iod 12 o 14 Ma ch 2021 was made,
eleasing 200000 pa icles acco ding o he es ima ed emis-
sion p o ile. The ou pu om his simula ion was p oduced
a he same e ical and ho izon al esolu ion as he a p io i
FLEXPART simula ion.
3.4 In e sion algo i hm
The in e sion me hod employed he e o ash sou ce es i-
ma ions is based on a cos unc ion minimiza ion app oach.
Simila wo k has been done by Eckha d e al. (2008), K is-
iansen e al. (2010), and S ohl e al. (2011). In hese s udies,
an in e sion algo i hm was de eloped o calcula e he e i-
cal dis ibu ion o sul u dioxide and he ash emission a es
o ins an aneous olcanic e up ions. Sa elli e e ie als, yp-
ically o ash column loading, ha e been combined in hose
analyses wi h VATDM simula ions using in e sion ech-
niques o p o ide ime-e ol ing es ima es o hese signi ican
quan i ies.
In sa elli e e ie al echniques, nume ous ad an ages ex-
is whe e es ima es o ash cloud op heigh and ash column
loading a e ypically a ailable (F ancis e al., 2012; Pa olo-
nis e al., 2013). Addi ionally, MER can be es ima ed h ough
empi ical ela ionships unde speci ic assump ions, which
a e especially use ul when sa elli e images a e una ailable o
limi ed, such as du ing he ea ly s ages o an e up ion (Pouge
e al., 2013; P a a e al., 2022). Howe e , di ec e ie als
o he e ical dis ibu ion wi hin he e up ion column a e
no easible. G ound-based and ai bo ne ada obse a ions,
which a e sensi i e o la ge pa icles and can pene a e op i-
cally hick plumes, p o ide a complemen a y sou ce o in o -
ma ion o e ie e nea -sou ce plume p ope ies such as mass
e up ion a e and column heigh .
The p esen s udy b ings oge he (i) he in e se model-
ing by ini ia ing he in e sion simula ions wi h mass concen-
a ions de i ed om g ound-based lida obse a ions down-
wind, combined wi h he sou ce– ecep o ela ionships cal-
cula ed om he FLEXPART-WRF model, and (ii) he in-
eg a ion o Aeolus me eo ological wind ields (ECMWF,
2021a) in o he FLEXPART-WRF model ( o mo e de ail,
see Sec . 3.3). The o e a ching goal is o op imize bo h he
e ical emission dis ibu ion and he ash emission a es nea
he sou ce, ollowing he olcanic e up ion. F om he in e -
sion scheme, a o al ash emission p o ile o he e up ion is
ob ained, which can be u ilized o gene a e obus ash o e-
cas s cons ained by lida obse a ions.
We pe o m he in e sion using a Bayesian app oach o
p o ide he bes es ima e o he emissions p o ile o ine
ash (wi h pa icles 3, 5, 9, and 21µm in diame e ) ha can
be anspo ed o e long dis ances. We ollow he gene al
concep o sou ce– ecep o ela ionships (Seibe and F ank,
2004), whe e he ela ions be ween each measu emen and
a po en ial sou ce o he emission is calcula ed (he e using
FLEXPART-WRF) and s o ed as he sou ce– ecep o ma ix
(SRM) o each e ical le el and o ou ash size bins (as
desc ibed in Sec . 3.3). The n=79 unknowns (sou ce ele-
men s) a e pu in o a s a e ec o xwhile he obse ed alues
ma e pu in o a ec o yo, whe e he subsc ip “o” s ands
o he PollyXT lida obse a ions. Then, he s a e ec o can
be calcula ed om he in e sion o a o wa d model M ha
connec s yoand x, as ollows:
yo=M(x)+ey,(4)
implying a linea ela ionship in which yois a ec o o spa-
io empo al lida measu emen s; Mis he n×mSRM calcu-
la ed by FLEXPART-WRF, desc ibing he sensi i i y o each
obse a ion o a uni elease a e; ey ep esen s lida measu e-
men e o s, which a e no accoun ed o in he algo i hm;
and xis he ash emission ec o o be es ima ed. M(x) is
equi alen o unning a VATDM wi h xas he inpu elease
p o ile. Since Mis calcula ed using such a model, i inhe -
i s he biases ha a e ine i able in VATDMs. As a esul , i
may di e ge om he ue dispe sion and may no necessa ily
align wi h he obse a ions on he le -hand side o Eq. (4),
e en i i is he ue elease p o ile (Fang e al., 2022). Gi en
ha he p oblem is unde de e mined, he solu ion o he lin-
ea in e se p oblem in Eq. (4) is no s aigh o wa d, and u -
he assump ions a e needed.
The mos common a e assump ions imposed on he un-
known emission ec o xsuch as he non-nega i i y o i s
elemen s, smoo hness o he emission (Fang e al., 2022),
o measu emen /emission spa si y (Li e al., 2018) (e.g., he
assump ion ha he emission elemen emains ze o unless
o he e idence is p esen in measu ed and modeled da a). Un-
de hese assump ions, he p oblem in Eq. (4) can be sol ed
by minimizing he dis ance be ween he le and he igh
sides o he equa ion. To enhance he s abili y o he in e -
sion ou come, a p io i emissions a e also used, ep esen ing
ou bes es ima e o xbe o e he obse a ions a e made (see
Sec . 3.4.1). Including an explici a p io i sou ce ec o xa,
we can exp ess he equa ion as ollows:
M(x−xa)≈yo−Mxa,(5)
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A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions 7351
and as an abb e ia ion
M˜
x≈˜
y.(6)
The in e sion scheme p esen ed he e is done by minimiz-
ing a cos unc ion C, which comp ises he ollowing sys em
o equa ions:
C1=yo−MTx(7)
C2=x−xa(8)
C3=Dx.(9)
C1quan i ies he di e ence be ween he modeled da a and
he obse a ions, C2is he de ia ion om he a p io i es ima-
ions, and C3imposes a smoo hness egula iza ion e m.
The cos unc ion C i s calcula es he mis i C1be ween
he p o iles a he ecep o poin s, as obse ed by he lida
(yo) and he da a as modeled by FLEXPART (MTx).
The second e m C2(Eq. 8) accoun s o he di e ence be-
ween he a pos e io i es ima es o he emission a es xand
he a p io i es ima es xa. (Fo de ails on he calcula ion o
he a p io i ec o , see Sec . 3.4.1.) To en o ce smoo hness in
he e ical p o ile o emissions, a egula iza ion pa ame e
C3is in oduced, de i ed om a disc e e second-o de di -
e ence ope a o D(Eq. 9). D ep esen s a idiagonal ma ix
whe e he main diagonal elemen s a e equal o −2, elemen s
o he diagonals abo e and below a e equal o 1 (disc e e ep-
esen a ion o he second de i a i e), and is a egula iza ion
pa ame e ha de e mines he weigh o his smoo hness con-
s ain ela i e o he o he wo e ms.
The inal mass emission a es a e ob ained by minimizing
he o al cos unc ion Cusing a s anda d op imiza ion ou-
ine wi h he a p io i emission a es as he ini ial guess. This
app oach ensu es ha he calcula ed ash emission a es a e
consis en wi h bo h he obse ed da a and he a p io i emis-
sion es ima es, while also a o ing a smoo h e ical dis i-
bu ion o emissions.
The in e sion scheme p esen ed in his s udy is no lim-
i ed o M . E na bu can be applied o o he olcanic e up-
ions wo ldwide, p o ided ha sui able obse a ional da a
a e a ailable. The me hodology elies on g ound-based li-
da measu emen s, dispe sion modeling (FLEXPART-WRF),
and an in e sion algo i hm o es ima e olcanic ash emis-
sions. The e o e, i can be adap ed o di e en olcanic se -
ings whe e lida obse a ions o o he emo e sensing da a
like sa elli e-based lida s (CALIPSO, Ea hCARE) and geo-
s a iona y sa elli es (SEVIRI) a e a ailable o cons ain he
sou ce e m. Addi ionally, he app oach can be ex ended o
a egional o global scale by in eg a ing mul iple obse a-
ion si es om lida ne wo ks such as ACTRIS/EARLINET
o inco po a ing addi ional sa elli e da a. This would allow
o imp o ed ash emission es ima es o a ious olcanic
e up ions wo ldwide. Fu he mo e, he use o high- esolu ion
wind ield da a (such as Aeolus o u u e wind lida missions)
can enhance he accu acy o dispe sion o ecas s in di e en
geog aphic egions (possibly lacking su icien in o ma ion
om adiosondes), making he me hodology widely applica-
ble o olcanic ash moni o ing and o ecas ing.
3.4.1 A p io i sou ce emissions xa
To cons ain he a iabili y o he e ie ed pa ame e s and o
enhance he s abili y o he in e sion ou come, a p io i emis-
sions a e also used in he in e sion scheme. We de e mine he
a p io i MER o ash pa icles ollowing he app oach ou -
lined by Scollo e al. (2019) by in e ing he obse ed plume
heigh s o e he E na summi c a e om VONA epo s and
ield obse a ions as obse ed by he INGV obse a o y, us-
ing he 1D plume model (Deg uy e and Bonadonna, 2012)
as desc ibed in Sec . 3.3. Addi ionally, he London VAAC
employs he same empi ical ela ionship be ween obse ed
plume heigh s and e up i e mass, as p oposed by Mas in
e al. (2009), assuming a uni o m e ical ash dis ibu ion.
The column heigh s o he ash plume om 12 Ma ch
2021 we e ob ained om he ECV calib a ed came a op-
e a ed by INGV-OE (Cal a i e al., 2021; Co adini e al.,
2018; Scollo e al., 2019) du ing he ime pe iod o 06:30 o
10:30UTC (see Table A1). The ash plume heigh eached
up o 9.0kma.s.l.In o de o calcula e he a p io i emis-
sions, he da a we e esampled a ∼2h in e als, speci i-
cally a 06:00 ( om 06:30 o 07:45UTC), 08:00 ( om 08:00
o 09:45UTC), and 10:00 UTC ( om 10:00 o 10:30 UTC).
Du ing he ini ial hou s o he e up ion (06:30–07:45UTC),
he ash plume was weak (Fig. 1a and Table A1) wi h an
a e age column injec ion heigh o 5.8km, esul ing in an
es ima ed MER o app oxima ely 12000 kgs−1acco ding
o he equa ion by Mas in e al. (2009) (Table 3). A e
07:45UTC, a s onge plume o med, ex ending e ically
abo e he en (Fig. 1b and Table A1). The ash plume ex-
ceeded he ECV came a ield o iew (e.g., mo e han 9.0–
9.5kma.s.l.) and was pa icula ly s ong be ween 08:00 and
09:45UTC (Fig. 1c and Table A1). The MER du ing his pe-
iod a e aged 58800kgs−1, wi h a mean plume heigh o
10kma.s.l.The s anda d de ia ion o he mean MER in-
dica es conside able inconsis ency in he emissions, as he
MER can change apidly du ing an e up ion due o luc-
ua ions in he e up i e dynamics, such as he collapse o
he e up ion column (Table 3). The ash plume heigh be-
gan o dec ease se e al minu es a e he la a oun ain ceased
(Fig. 1d and Table A1), wi h i s disappea ance becoming e -
iden only a e 10:15UTC (Fig. 1d). The MER du ing his
phase (10:00–10:30UTC) was app oxima ely 6300 kgs−1
(Table 3). The maximum plume ele a ion was no eco ded
by he ECV came a due o i s limi ed ield o iew (app ox.
9.0–9.5kma.s.l.as no ed by Scollo e al., 2014). Howe e ,
acco ding o SEVIRI aboa d he geos a iona y Me eosa Sec-
ond Gene a ion sa elli e, he olcanic ash cloud op heigh
(ACTH) be ween 08:15 and 08:45UTC was es ima ed a
11.5kma.s.l.(Cal a i e al., 2021). This highe SEVIRI-
h ps://doi.o g/10.5194/acp-25-7343-2025 A mos. Chem. Phys., 25, 7343–7368, 2025
7358 A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions
5 Conclusions and discussion
The p esen s udy p esen ed an in e sion me hod o es ima e
he olcanic emission a e p o ile wi h a Lag angian pa icle
dispe sion model and a g ound-based lida sys em. The ech-
nique was applied o he case s udy o he explosi e e up ion
o M . E na, I aly, on 12 Ma ch 2021. To assess he impac
o Aeolus wind assimila ion in olcanic ash dispe sion o e-
cas s, he simula ion was epea ed wice: once wi h Aeolus
da a assimila ed (“w” expe imen ) and once wi hou (“w/o”).
The olcanic ae osol laye s obse ed abo e he PANGEA-
NOA s a ion in An iky he a, along wi h he clea -sky condi-
ions in he days a e he e up ion, made his an ideal es
case. Impo an conclusions om ou wo k a e as ollows:
The PollyXT lida sys em o PANGEA-NOA de ec ed a
dense ae osol laye be ween 8 and 12km, wi h he olcanic
ash plume p ima ily concen a ed be ween 9 and 11km.
FLEXPART simula ions, bo h a p io i (wi h an empi ical
emission p o ile) and a pos e io i (wi h he emission p o ile
p oduced by he in e sion algo i hm) we e conduc ed o de-
i e he modeled plume’s e ical dis ibu ion and concen a-
ion. The a p io i “w” Aeolus simula ion showed a b oade
dispe sion o he ash plume, po en ially due o he o e es-
ima ion o he a p io i ash emissions ob ained by in e ing
he obse ed plume heigh s om he VONA epo s, whe eas
he a pos e io i simula ion, based on he in e sion esul s,
p oduced a mo e e ined and consis en ash plume p o ile,
con ined o a smalle a ea, mos ly a ound An iky he a and
sou he n G eece, which was closely simila o he ash cloud
obse ed by he SEVIRI sa elli e.
In e ms o ash mass concen a ion, he a p io i p o ile
wi h Aeolus wind da a assimila ed shows a good spa io em-
po al ag eemen wi h he lida e ie als bu exhibi ed a sligh
e ical shi o 1km wi h espec o he obse ed ash mass
peaks (Ami idis e al., 2023) along wi h a mis i in mass
concen a ions o abou 50µgm−3, a c i ical ac o o a i-
a ion sa e y. In con as , he a pos e io i ash mass concen-
a ions demons a e a be e ag eemen wi h he obse a-
ions abo e PANGEA-NOA when Aeolus winds a e assimi-
la ed. The maximum ash mass concen a ion is ound close o
255µgm−3a 9.8 km, closely ma ching he peak obse ed by
he lida , depic ing a minimal di e ence o he o de o 2 %
be ween he obse ed and he a pos e io i simula ed ash mass
concen a ions. In con as , he di e ence be ween he lida
obse a ions and he a p io i ash simula ions anged om
28% o 40 %. This consis ency highligh s he obus ness o
he new in e sion algo i hm and he signi ican imp o emen
in he e ical dis ibu ion and he ash mass concen a ion.
Howe e , addi ional independen da ase s, such as g ound-
based, sa elli e emo e sensing da a, o ai bo ne in si u mea-
su emen s along he plume’s ajec o y, would u he en-
hance he alida ion o his me hodology and should be con-
side ed in u u e s udies.
To u he assess he eliabili y o he e ie ed emissions,
a Mon e Ca lo e o p opaga ion analysis was conduc ed, in-
oducing no mally dis ibu ed pe u ba ions o he lida mea-
su emen s. Wi h his me hod, he s anda d de ia ion o he
e ie ed emissions a each heigh le el was es ima ed. The
esul s indica e ha he in e sion ou pu emained highly s a-
ble, wi h minimal a ia ion ac oss Mon e Ca lo ealiza ions,
sugges ing ha he single-s a ion obse a ional se up does
no in oduce signi ican unce ain y. To enhance he sensi-
i i y o he in e sion amewo k and p o ide a mo e com-
p ehensi e unce ain y assessmen , mul iple lida s a ions o
complemen a y emo e sensing echniques a e essen ial.
The accu acy o he FLEXPART a pos e io i simula ion is
highly dependen on he p ecision o he d i ing me eo olog-
ical ields (“w” Aeolus wind ields), as well as on olcano
sou ce pa ame e s such as he plume heigh and mass e up-
ion a es, which a e e ined h ough he in e sion p ocess (a
pos e io i MER).
The ad an ages o Aeolus wind assimila ion o global
NWP models ha e been well documen ed, pa icula ly by
Rennie e al. (2021), who demons a ed signi ican imp o e-
men s in wind ield ep esen a ion, especially in he op-
ics and Sou he n Hemisphe e. Fu he enhancemen s in wind
o ecas s we e obse ed in he s udy o Ami idis e al. (2023),
whe e egional NWP models bene i ed om Aeolus wind as-
simila ion. Ou case s udy alida es hese indings, showing
ha he assimila ion o Aeolus wind p o iles leads o a sig-
ni ican imp o emen in he es ima ion o olcanic emission
a es in he e ical dis ibu ion, op imizing he ag eemen
be ween lida obse a ions and a pos e io i model simula-
ion.
Real- ime applica ions, such as hose o VAACs, demand
a apid esponse o olcanic ash haza ds. Once he plume is
de ec ed and ini ial da a om lida sys ems become a ail-
able, he p esen ed me hod can quickly p o ide he neces-
sa y in o ma ion o calcula e he cu en and u u e posi ion
and ex en o he plume wi hin a ew hou s. This unde sco es
he impe a i e o high-quali y, apidly accessible da a, such
as ha p o ided by o ganized g ound-based lida ne wo ks
employing s anda dized algo i hms and p ocedu es, such as
hose used by EARLINET, a key componen o he ACTRIS
in as uc u e.
Howe e , hei applicabili y o he p oposed me hodol-
ogy depends on he ope a ion o a backsca e -depola iza ion
lida , which cons i u es he p ima y equi emen . In cases
whe e di ec measu emen s o essen ial pa ame e s, such as
lida a ios, a e una ailable, alues om he scien i ic li e -
a u e can be used. A mo e ad anced con igu a ion, inco po-
a ing Raman lida capabili ies, would enhance he accu acy
o e ie ed backsca e and lida a io coe icien s. Addi ion-
ally, o day ime measu emen s, a co-loca ed sun pho ome e
would acili a e he di ec es ima ion o he con e sion ac-
o s equi ed in he in e sion p ocess. Beyond g ound-based
applica ions, he me hodology is also applicable o space-
bo ne ae osol lida s, which p o ide e ical p o iles o he
backsca e coe icien and pa icle linea depola iza ion a-
io, bo h undamen al pa ame e s o he in e sion p ocess.
A mos. Chem. Phys., 25, 7343–7368, 2025 h ps://doi.o g/10.5194/acp-25-7343-2025

A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions 7359
Fu he mo e, he me hodology p esen ed he ein can be ap-
plied o cu en o u u e sa elli e missions ha employ lida
measu emen s (e.g., he Ea hCARE mission). While passi e
sa elli es o e nea -global co e age o ash cloud measu e-
men s wi hin minu es o hou s, g ound-based o sa elli e lida
sys ems p o ide mo e accu a e di ec e ie als o he e ical
dis ibu ion wi hin he ash plume column.
Ou me hodology is b oadly applicable and e icien
enough o eal- ime implemen a ion. I can supply ash
o ecas ing models wi h an objec i ely de i ed quan i a i e
sou ce e m, leading o imp o ed o ecas s ha a e c i ical o
he a ia ion sec o . These enhanced o ecas s p o ide mo e
e ec i e eme gency esponses, ensu ing sa e and mo e e i-
cien ligh ope a ions du ing olcanic e up ions, while a he
same ime minimizing he isk o acciden s and he inancial
impac o ligh cancela ions.
Appendix A
The SRR o a size dis ibu ion o olcanic ash pa icles wi h
ou size bins (3, 5, 9, and 21µm diame e ), de i ed om
he FLEXPART model using he “w” Aeolus assimila ed
wind ields, indica e ha he olcanic emissions obse ed
abo e he PANGEA-NOA obse a o y ( ecep o – yaxis)
on 12 Ma ch 2021 ( om 18:30 o 21:30UTC) a he heigh
ange o 6–12km mos ly o igina e om elease heigh s be-
ween 5 and 11.5km abo e he E na olcano (sou ce – xaxis)
(Fig. A2a, c, and e). These sou ce elease heigh s a e con-
sis en wi h he obse ed emissions abo e he PANGEA-
NOA s a ion, pa icula ly when he pa icle elease ime was
06:00–08:00 and 08:00–10:00UTC. The sou ce heigh s o
he ine pa icles align well wi h he e up i e column heigh s,
as epo ed om he INGV-OE calib a ed came as (Fig. 1).
Addi ionally, he in e sion algo i hm was u ilized wi h he
FLEXPART SRR only o hese wo elease imes. In con-
as , he SRR using “w/o” Aeolus assimila ed wind ields
shows ha he olcanic pa icles a i ing abo e he PANGEA
s a ion a heigh s o 8–10km ( ecep o – yaxis) a e ew and
o igina e om elease heigh s o a ound 8–11km abo e E na
(sou ce – xaxis) and only when he pa icle elease ime was
04:00–06:00UTC (Fig. A2b, d, and ). This elease ime is
no accu a e, as he e up ion ac ually began a 06:00 UTC ac-
co ding o he VONA messages om INGV-EO.
h ps://doi.o g/10.5194/acp-25-7343-2025 A mos. Chem. Phys., 25, 7343–7368, 2025
7360 A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions
Figu e A1. Wo k low o he me hodology.
Figu e A2. Sou ce– ecep o sensi i i ies o he ine pa icles (3, 5, 9, and 21µm diame e ) “w” Aeolus assimila ed winds (a,c, and e) and
“w/o” Aeolus simula ion (b,d, and ). The ho izon al axis “x” depic s he pa icle elease heigh (km) abo e E na, and he e ical axis “y”
is he al i ude abo e PANGEA ha he emissions obse ed on 12 Ma ch 2021 (18:30 o 21:30UTC).
A mos. Chem. Phys., 25, 7343–7368, 2025 h ps://doi.o g/10.5194/acp-25-7343-2025
A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions 7361
Table A1. Volcanic ash plume heigh s (m) du ing he e up ion ac i i y om 06:30 o 10:30UTC, as eco ded by he ECV came a ope a ed
by INGV-EO (second column) and adjus ed heigh s inco po a ing SEVIRI sa elli e obse a ions whe e applicable ( hi d column).
Time (UTC) Heigh (m) om ECV Heigh (m) inco po a ing
came a (INGV-EO) SEVIRI obse a ions
06:30 4000 4000
06:45 5500 5500
07:00 5500 5500
07:15 6000 6000
07:30 6500 6500
07:45 7000 7000
08:00 7500 7500
08:15 <9000 11500
08:30 <9000 11500
08:45 <9000 11500
09:00 <9000 10000
09:15 <9000 9500
09:30 <9000 9500
09:45 9000 9000
10:00 6500 6500
10:15 5000 5000
10:30 4500 4500
Figu e A3. Wind speed (ms−1) in WRF 18h o ecas s. Ho izon al winds (a) “w” Aeolus assimila ion, (b) “w/o” Aeolus assimila ion, and
(c) wind speed di e ences (“w” – “w/o” Aeolus assimila ion) a 100hPa (∼16km).
h ps://doi.o g/10.5194/acp-25-7343-2025 A mos. Chem. Phys., 25, 7343–7368, 2025
7362 A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions
Figu e A4. Wind speed (ms−1) in WRF 18h o ecas s. Ho izon al winds (a) “w” Aeolus assimila ion, (b) “w/o” Aeolus assimila ion, and
(c) wind speed di e ences (“w” – “w/o” Aeolus assimila ion) a 200hPa (∼12km).
Figu e A5. Wind speed (ms−1) in WRF 18h o ecas s. Ho izon al winds (a) “w” Aeolus assimila ion, (b) “w/o” Aeolus assimila ion, and
(c) wind speed di e ences (“w” – “w/o” Aeolus assimila ion) a 500hPa (∼5.5km).
A mos. Chem. Phys., 25, 7343–7368, 2025 h ps://doi.o g/10.5194/acp-25-7343-2025
A. Kampou i e al.: Volcanic emission es ima es om he in e sion o ACTRIS lida obse a ions 7363
Code a ailabili y. The in e sion algo i hm was w i en wi h
Py hon p og amming language e sion 3.12 (h ps://www.py hon.
o g/, las access: 27 June 2025) and can be ob ained om he
co-au ho Anna Kampou i ([email p o ec ed]) upon eques . The
WRF model code is publicly a ailable, has a digi al objec iden i ie
(h ps://doi.o g/10.5065/D6MK6B4K, UCAR, 2025; Skama ock e
al., 2019), and can be ob ained ia Gi Hub (h ps://gi hub.com/
w -model/WRF, las access: 27 June 2025). The FLEXPART-
WRF model code is publicly a ailable and can be ob ained om
h ps://gi .nilu.no/ lexpa / lexpa -w (Dingwell, 2025; B ioude e
al., 2013) inpu . The code used o da a p ocessing was w i en wi h
Py hon p og amming language e sion 3.12 (h ps://www.py hon.
o g/, las access: 2 July 2025) and can be ob ained ia Gi Hub
a h ps://gi hub.com/NOA-ReACT/Aeolus_Volcano_2023 (las ac-
cess: 2 July 2025; h ps://doi.o g/10.5281/zenodo.15805552, Kam-
pou i, 2025). The SCC algo i hm used he e is de eloped wi hin
he EARLINET/ACTRIS communi y, and i s sou ce code is no
publicly a ailable. Ins ead, i is used in e nally o p ocess aw li-
da signals in o quali y-assu ed Le el 2 op ical p ope y p o iles,
which a e made publicly a ailable ia he EARLINET da a po al
(h ps://da a.ea line .o g/, las access: 10 July 2025). The e ie als
and he ae osol lida op ical p ope ies a e a ailable om he co-
au ho Anna Giali aki ([email p o ec ed]) upon eques .
Da a a ailabili y. The Aeolus L2A wind da a can be down-
loaded om h ps://apps.ecmw .in /ma s-ca alogue/?class= d&
exp e =hk (ECMWF, 2021b, a). The lida da a om he
PollyXT sys em a he PANGEA-NOA s a ion a e a ailable
in ascii o ma h ough Zenodo unde he ollowing DOI:
h ps://doi.o g/10.5281/zenodo.15805552 (Kampou i, 2025).
These da a we e de i ed using he Single Calculus Chain
(SCC; h ps://scc.imaa.cn .i ) algo i hm (a signal-analysis ool
o aw lida da a p ocessing de eloped wi hin EARLINET
(h ps://www.ea line .o g/, las access: 3 July 2025) and AC-
TRIS (h ps://www.ac is.eu/, las access: 3 July 2025)). SCC
p oduc s (L2 op ical p ope y p o iles) a e publicly a ailable
h ough he EARLINET da a po al (h ps://gi hub.com/ac is-a es/
ac is-ea line -2024_annual_collec ion/ ee/main, ACTRIS
EARLINET, 2024). The WRF and FLEXPART-WRF models’
simula ion esul s a e also a ailable om he co-au ho Anna
Kampou i ([email p o ec ed]) upon eques .
Au ho con ibu ions. AK concep ualized he pape along wi h
VA, PZ, and S S. All au ho s w o e pa s o he pape co espond-
ing o hei wo k and espec i e esul s. AK pe o med he FLEX-
PART and WRF uns and he in e sion algo i hm wi h he suppo
o S S, PZ, and TG. AG and MT p o ided he PollyXT lida e-
ie als. SiS p o ided he INGV-OE came a ma e ial and syne gis-
ic da ase s o he analysis. MR p o ided he ECMWF-IFS da ase s
(“w” and “w/o” Aeolus assimila ion). All au ho s p o ided co ec-
ions and sugges ions o e en ually shape he esea ch, analysis, and
inal pape . AK supe ised and di ec ed he whole p ojec .
Compe ing in e es s. The con ac au ho has decla ed ha none
o he au ho s has any compe ing in e es s.
Disclaime . Publishe ’s no e: Cope nicus Publica ions emains
neu al wi h ega d o ju isdic ional claims made in he ex , pub-
lished maps, ins i u ional a ilia ions, o any o he geog aphical ep-
esen a ion in his pape . While Cope nicus Publica ions makes e -
e y e o o include app op ia e place names, he inal esponsibili y
lies wi h he au ho s.
Acknowledgemen s. Anna Kampou i and he au ho s a ilia ed
o he Na ional Obse a o y o A hens acknowledge he suppo
om he ollowing esea ch p ojec s: he PANORAMA p ojec ,
unded by he Eu opean Union (g an ag eemen 101182795); he
PANGEA4CalVal p ojec , unded by he Eu opean Union (g an
ag eemen 101079201); he Hellenic Founda ion o Resea ch
and Inno a ion (p ojec abb e ia ion: S a oFIRE, p ojec numbe :
3995); he e-shape p ojec , unde he Eu opean Union’s Ho izon
2020 esea ch and inno a ion p og am (g an ag eemen 820852);
he ACTRIS esea ch in as uc u e; and da a and se ices ob ained
om he PANhellenic GEophysical Obse a o y o An iky he a
(PANGEA) o NOA. Addi ionally, Anna Kampou i and Thanasis
Geo giou acknowledge suppo om ESA in he amewo k o he
“Enhancing Aeolus L2A o depola izing a ge s and impac on
ae osol esea ch and NWP” p ojec (4000139424/22/I-NS). Anna
Kampou i acknowledges he suppo om Ioanni Binie oglou, An-
oni Gkika, and Emmanouil P oes aki o hei in aluable assis ance
and insigh ul discussions h oughou he de elopmen o his wo k.
Addi ionally, he au ho s hank he wo anonymous e iewe s o
hei help ul commen s and sugges ions o imp o ing he quali y
o he pape .
Financial suppo . This esea ch has been suppo ed by he Hel-
lenic Founda ion o Resea ch and Inno a ion (P ojec Ac onym:
S a oFIRE, g an no. 3995).
Re iew s a emen . This pape was edi ed by S elios Kazadzis
and e iewed by wo anonymous e e ees.
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