Use Guide
Suppo ing da a o "Suppo ing da a o "E alua ing Tools o Diagnosis and
Nowcas ing P ecipi a ion Type and F eezing Rain: Resul s om he 3–4 Feb ua y
2022 Win e S o m in he Hudson Valley"
Ve sion 2.0
21 No embe 2025
This da ase con ains suppo ing da a associa ed wi h he publica ion E alua ing Tools o
Diagnosis and Nowcas ing P ecipi a ion Type and F eezing Rain: Resul s om he 3–4
Feb ua y 2022 Win e S o m in he Hudson Valley (Minde e al. 2025). Specifically, i
includes da a ha a e no o he wise a ailable a he ime o publica ion. Fo access o
o he da ase s used in he publica ion, please consul i s Da a A ailabili y S a emen .
Below is basic in o ma ion abou each da ase and ci a ions
1. Random o es (RF) machine lea ning model p- ype ime se ies
This da a is om he andom o es (RF) machine lea ning model desc ibed in
Filipiak e al. (2023). This model p oduces p obabilis ic analyses and o ecas s o
win e p- ype, ained on manual ci izen science p- ype obse a ions om he
Communi y Collabo a i e Rain, Hail and Snow ne wo k. The model inges s NYSM
s a ion obse a ions, ope a ional uppe -ai sounding obse a ions, and sho - e m
e ical p ofile o ecas s om he ope a ional No h Ame ican Model nes
(NAMNEST, 3km ho izon al g id) as inpu ea u es. F om hese ea u es, he RF
p edic s p obabili y o RA, SN, FZRA, and PL. In his s udy, we ocus on analysis o
he dominan (mos p obable) p- ype p edic ed by he RF model.
• Files:
o RF_PROF_ALBA.cs : RF model ime se ies o loca ion o NYSM
PROF_ALBA s a ion.
o RF_PROF_REDH.cs : RF model ime se ies o loca ion o NYSM
PROF_REDH s a ion.
• Fo ma : Comma sepa a ed alues, wi h heade gi ing a iable names and uni s.
Missing da a is indica ed wi h alues o NaN. The columns p o ide include:
o La i ude and longi ude (in deg ees)
o P obabili ies o each diagnosed p- ype (in pe cen ages)
§ The epo ing no a ion diWe s sligh ly om wha is used in he
pape . In pa icula : SL (slee ) = PL (ice pelle s).
o The dominan (mos p obable) p- ype
o The ime alid ime (in UTC)
• Ci a ion:
o Filipiak, B. C., N. P. Bassill, K. L. Co bosie o, A. L. Lang, and R. A. Lazea ,
2023: P obabilis ic Fo ecas ing Me hods o Win e Mixed-P ecipi a ion
E en s in New Yo k S a e U ilizing a Random Fo es . A i . In ell. Ea h
Sys ., 2, e220080, h ps://doi.o g/10.1175/AIES-D-22-0080.1.
2. New Yo k S a e Mesone mic owa e adiome e (MWR) p- ype ime se ies
This da a is om he New Yo k S a e Mesone (NYSM) mic owa e adiome e (MWR)
p- ype diagnos ic, using a modified pa cel hickness me hod, as desc ibed in
Sh es ha e al. (2023).
• Files:
• MWR_PROF_ALBA_ 2.cs : MWR p- ype diagnosis based on da a om he
NYSM PROF_ALBA s a ion.
• MWR_PROF_REDH_ 2.cs : MWR p- ype diagnosis based on da a om
he NYSM PROF_REDH s a ion.
• Fo ma : Coma sepa a ed alues, wi h heade gi ing a iable names and uni s.
The columns p o ide include:
o Times amp (in UTC)
o p ype: all p- ypes diagnosed a he gi en ime, po en ially including
mix u es (e.g., “FZR/SLT”)
• No es:
• In p- ype epo s, he abb e ia ions diWe om wha is used in he pape .
In pa icula : FZR = FZRA, SLT= PL.
• Ci a ion:
• Sh es ha, B., J. Wang, J. A. B o zge, and N. Bain, 2023: Win e
P ecipi a ion Type om Mic owa e Radiome e s in New Yo k S a e
Mesone P ofile Ne wo k. Wea. Fo ecas ing, 38, 1563–1574,
h ps://doi.o g/10.1175/WAF-D-23-0035.1.
3. Spec al Bin Classifie (SBC) p- ype and F eezing Rain Accumula ion Na ional
Analysis (FRANA)
This da a is om he ecen ly de eloped spec al bin classifie (SBC) and F eezing Rain
Accumula ion Na ional Analysis (FRANA). The SBC is a ool o g idded diagnoses o
p ecipi a ion phase, desc ibed in Ree es e al. (2016). I is a one-dimensional bin-
mic ophysics model ha uses he modynamic p ofiles o explici ly compu e he
liquid-wa e ac ion (LWF) o indi idual hyd ome eo s as hey descend om he op o
he cloud o he g ound. The SBC elies on inpu s o he e ical p ofiles o
empe a u e, humidi y, and p essu e om an NWP model. The SBC analyses used he e
we e un as pa o an expe imen al e sion o he Mul i-Rada /Mul i-Senso (MRMS)
sys em using 1-h HRRR o ecas s. FRANA (T ipp e al. 2025) elies on SBC o deno e
a eas o FZRA and he MRMS quan i a i e p ecipi a ion es ima es o p ecipi a ion a e.
I uses he F eezing Rain Accumula ion Model (FRAM; Sande s and Ba jenb uch 2016)
equa ions o calcula e ice- o-liquid a ios based on HRRR-analyses o 10-m winds and
we bulb empe a u e.
• Files:
• FRANA_g ids_20220205_0000_48h.nc: G idded FRANA analysis o 48-h
eezing ain accumula ion, alid o 0000 UTC 03 Feb ua y 2022 – 0000
UTC 05 Feb ua y 2022.
• sbc_g ids_[yyyymmdd_HHMM].nc: G idded SBC analysis o p- ype, alid
o he 1-hou pe iod ending a he no ed alid ime.
• SBC_FRANA_ ime_se ies.cs : Hou ly ime se ies o SBC p- ype and
FRANA eezing ain accumula ion a loca ions o KALB ASOS s a ion and
REDH NYSM s a ion.
• Fo ma :
• FRANA_g ids_20220205_0000_48h.nc: ne CDF file wi h embedded
a iable me a da a
• sbc_g ids_[yyyymmdd_HHMM].nc: ne CDF file wi h embedded a iable
me a da a
• SBC_FRANA_ ime_se ies.cs : Comma sepa a ed alues, wi h heade
gi ing a iable names and uni s.
• Ci a ions:
• Ree es, H. D., A. V. Ryzhko , and J. K ause, 2016: Disc imina ion be ween
Win e P ecipi a ion Types Based on Spec al-Bin Mic ophysical
Modeling. J. Appl. Me eo . Clama o., 55, 1747–1761,
h ps://doi.o g/10.1175/JAMC-D-16-0044.1.
• Sande s, K. J., and B. L. Ba jenb uch, 2016: Analysis o Ice- o-Liquid
Ra ios du ing F eezing Rain and he De elopmen o an Ice Accumula ion
Model. Wea. Fo ecas ing, 31, 1041–1060, h ps://doi.o g/10.1175/WAF-D-
15-0118.1.
• T ipp, D. D., A. D. We kema, H. D. Ree es, B. L. Ba jenb uch, and K. J.
Sande s, 2025: C ea ion and E alua ion o he F eezing Rain
Accumula ion Na ional Analysis (FRANA) in P epa a ion o NWS
Ope a ions. Wea. Fo ecas ing, 40, 319–332,
h ps://doi.o g/10.1175/WAF-D-24-0085.1.
4. Ve sion his o y
• V1: o iginal
• V2: Upda ed MWR p ofile -based p- ype (MWR_PROF_ALBA_ 2.cs ,
MWR_PROF_REDH_ 2.cs ) o use la es me hods and o emo e "g ea es
se e i y bias" me ging o p- ypes.
