an evaluation of high impact weathers over korea simulated
TRANSCRIPT
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
An Evaluation of HighAn Evaluation of High‐‐Impact Weathers over Korea Impact Weathers over Korea Simulated by the Simulated by the
NonNon‐‐Hydrostatic Regional Spectral ModelHydrostatic Regional Spectral Model
EunEun‐‐Chul Chang Chul Chang and
SongSong‐‐You HongYou Hong
Numerical Modeling Laboratory, Yonsei UniversityNumerical Modeling Laboratory, Yonsei University
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
IntroductionIntroduction
•
Most regional models employ the nonnon‐‐hydrostatichydrostatic
dynamics as a dynamical core
•
Non‐hydrostatic forcing is important at higher resolutionat higher resolution
when dynamical and
thermodynamical forcing are strong
GlobalGlobal
and and RegionalRegional
Integrated Model System (Integrated Model System (GRIMsGRIMs))
Regional Spectral Model (RSM) in GRIMs
▪
Widely used for climate researches (>50km)
▪
For high‐resolution (<10km) climate simulation, non‐hydrostatic system is highly needed
Non‐hydrostatic version of NCEP RSM (Juang 1992, 2000(Juang 1992, 2000) is implemented to GRIMs
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
IntroductionIntroduction
GlobalGlobal
and and RegionalRegional
Integrated Model System (Integrated Model System (GRIMsGRIMs))
Spectral dynamic core : T62 Spectral dynamic core : T62 ―― T426T426
1. Spherical harmonics (SPH) system1. Spherical harmonics (SPH) system
: for Global and Regional: for Global and Regional
2. Double Fourier series (DFS) system2. Double Fourier series (DFS) system
: for Global: for Global
Physical processesPhysical processes
Land surfaceLand surface Kang and Hong (2008, JGR), Chen and Duhdia (2001, MWR)Kang and Hong (2008, JGR), Chen and Duhdia (2001, MWR)
PBLPBL Hong et al. (2006, MWR), Noh et al. (2003, BLM)Hong et al. (2006, MWR), Noh et al. (2003, BLM)
CumulusCumulus Byun and Hong (2007, MWR), Park and Hong (2007)Byun and Hong (2007, MWR), Park and Hong (2007)
Cloud and microphysicsCloud and microphysics Hong et al. (1998, MWR; 2004, MWR)Hong et al. (1998, MWR; 2004, MWR)
RadiationRadiation Chou (2006), Ham et al. (2009, ATP)Chou (2006), Ham et al. (2009, ATP)
Gravity wave dragGravity wave drag Chun and Baik (1998, JAS), Kim and Arakawa (1995, JAS), Chun and Baik (1998, JAS), Kim and Arakawa (1995, JAS), Hong et al. (2008, WAF)Hong et al. (2008, WAF)
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Experimental designExperimental design
Two regional models are utilized in this studyTwo regional models are utilized in this study
Regional Spectral Model (RSM)Regional Spectral Model (RSM)
Weather Research and Forecasting (WRF) modelWeather Research and Forecasting (WRF) model
RSMRSM
WRFWRF
HydrostaticHydrostatic
NonNon‐‐hydrostatichydrostatic
HydrostaticHydrostatic
NonNon‐‐hydrostatichydrostatic
Case 1 : Case 1 : 2005. 4. 4. 12UTC – 4. 6. 00UTCdown slope severe wind storm case(Lee wave)
Case 2 : Case 2 : 2005. 12. 21. 00UTC – 12. 22. 00UTCHeavy snowfall case
Case 3 : Case 3 : 2006. 7. 15. 00UTC – 7. 16. 00UTCHeavy rainfall case
Domain1 (27km)Domain1 (27km)
Domain2 (9km)Domain2 (9km)
Regional Model Domains :Regional Model Domains :
Lambert conformal conic map projectionLambert conformal conic map projection
4 domains are used for downscaling 4 domains are used for downscaling
11‐‐way nesting (27km way nesting (27km ––
9km 9km ––
3km 3km ––
1km)1km)
NCEP Final Analysis Data (FNL, 1NCEP Final Analysis Data (FNL, 1⁰×⁰×
11⁰⁰))
is used for I.C. and B.C.is used for I.C. and B.C.
Dm 1 Dm 2 Dm 3 Dm 4
RSM 60 s 20 s 6 s
WRF 90 s 30 s 10 s 3 s
time step (time step (∆∆t) for integrationt) for integration
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
ObjectiveObjective
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
ObjectiveObjective
For the WRFWRF
model and RSM,RSM,
the non‐hydrostatic
and hydrostatic
versions are available.
Evaluate high‐impact weathers simulated by the non‐hydrostatic models
Find out advantages of the non‐hydrostatic dynamical cores in high resolution
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Result 1Result 1
Case 1 : downslope windstorm (Lee wave)Case 1 : downslope windstorm (Lee wave)
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Domain 1 (27km) : 850 hPa geopotential height (m), wind vectorDomain 1 (27km) : 850 hPa geopotential height (m), wind vectorCase 1 : downslope windstorm (Lee wave)Case 1 : downslope windstorm (Lee wave)
WRFWRF
RSMRSM
HydrostaticHydrostatic
HydrostaticHydrostatic NonNon‐‐HydrostaticHydrostatic
NonNon‐‐HydrostaticHydrostatic
36hr fcst
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Domain 1 (27km) : 500 hPa geopotential height (m), wind vectorDomain 1 (27km) : 500 hPa geopotential height (m), wind vector
WRFWRF
RSMRSM
HydrostaticHydrostatic
HydrostaticHydrostatic NonNon‐‐HydrostaticHydrostatic
NonNon‐‐HydrostaticHydrostatic
36hr fcst
Case 1 : downslope windstorm (Lee wave)Case 1 : downslope windstorm (Lee wave)
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Domain 3 (3km) : topographyDomain 3 (3km) : topography
RSM domain3RSM domain3
Case 1 : downslope windstorm (Lee wave)Case 1 : downslope windstorm (Lee wave)
WRF domain3WRF domain3
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
WRF WRF ––
Domain 3 (3km) : 850 hPa vertical velocity (m/s)Domain 3 (3km) : 850 hPa vertical velocity (m/s)
HydrostaticHydrostatic
NonNon‐‐HydrostaticHydrostatic
WRFWRF
WRFWRF
2005. 4. 5. 12 UTC2005. 4. 5. 12 UTC 2005. 4. 5. 15 UTC2005. 4. 5. 15 UTC 2005. 4. 5. 18 UTC2005. 4. 5. 18 UTC
2005. 4. 5. 12 UTC2005. 4. 5. 12 UTC 2005. 4. 5. 15 UTC2005. 4. 5. 15 UTC 2005. 4. 5. 18 UTC2005. 4. 5. 18 UTC
Case 1 : downslope windstorm (Lee wave)Case 1 : downslope windstorm (Lee wave)
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
RSM RSM ––
Domain 3 (3km) : 850 hPa vertical velocity (m/s)Domain 3 (3km) : 850 hPa vertical velocity (m/s)
Case 1 : downslope windstorm (Lee wave)Case 1 : downslope windstorm (Lee wave)
HydrostaticHydrostatic
NonNon‐‐HydrostaticHydrostatic
RSMRSM
RSMRSM
2005. 4. 5. 12 UTC2005. 4. 5. 12 UTC 2005. 4. 5. 15 UTC2005. 4. 5. 15 UTC 2005. 4. 5. 18 UTC2005. 4. 5. 18 UTC
2005. 4. 5. 12 UTC2005. 4. 5. 12 UTC 2005. 4. 5. 15 UTC2005. 4. 5. 15 UTC 2005. 4. 5. 18 UTC2005. 4. 5. 18 UTC
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
WRF WRF ––
Domain4 (1km) : Vertical velocity (m/s) at z = 2 kmDomain4 (1km) : Vertical velocity (m/s) at z = 2 km
Case 1 : downslope windstorm (Lee wave)Case 1 : downslope windstorm (Lee wave)
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
WRF WRF ––
Domain 4 (1km)Domain 4 (1km)
5
4
3
2
1
0
Case 1 : downslope windstorm (Lee wave)Case 1 : downslope windstorm (Lee wave)
Cross section : vertical velocity & potential temperature
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Result 2Result 2
Case 2 : Heavy snowfallCase 2 : Heavy snowfall
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Domain 2 (Domain 2 (9 km9 km): total precipitation (mm) for 24 hours): total precipitation (mm) for 24 hoursCase 2 : Heavy snowfall (2005. 12. 21. 00UTC ~ 12. 22. 00UTC)Case 2 : Heavy snowfall (2005. 12. 21. 00UTC ~ 12. 22. 00UTC)
WRFWRF(WSM6)(WSM6)
RSMRSM(WSM1)(WSM1)
HydrostaticHydrostatic
HydrostaticHydrostatic NonNon‐‐HydrostaticHydrostatic
NonNon‐‐HydrostaticHydrostatic TMPATMPA
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Domain 3 (Domain 3 (3 km3 km): total precipitation (mm) for 24 hours): total precipitation (mm) for 24 hoursCase 2 : Heavy snowfallCase 2 : Heavy snowfall
RSMRSM
WRFWRF
HydrostaticHydrostatic
HydrostaticHydrostatic NonNon‐‐HydrostaticHydrostatic
NonNon‐‐HydrostaticHydrostatic diff (nonhydro diff (nonhydro ––
hydro)hydro)
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Result 3Result 3
Case 3 : Heavy rainfallCase 3 : Heavy rainfall
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Domain 2 (Domain 2 (9 km9 km): total precipitation (mm) for 24 hours): total precipitation (mm) for 24 hoursCase 3 : Heavy rainfallCase 3 : Heavy rainfall
WRFWRF(WSM6)(WSM6)
RSMRSM(WSM1)(WSM1)
HydrostaticHydrostatic
HydrostaticHydrostatic NonNon‐‐HydrostaticHydrostatic
NonNon‐‐HydrostaticHydrostatic
TMPATMPA
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Domain 3 (3Domain 3 (3
kmkm): total precipitation (mm) for 24 hours): total precipitation (mm) for 24 hours
Case 3 : Heavy rainfallCase 3 : Heavy rainfall
RSMRSM
WRFWRF
HydrostaticHydrostatic
HydrostaticHydrostatic NonNon‐‐HydrostaticHydrostatic
NonNon‐‐HydrostaticHydrostatic
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
SummarySummary
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
SummarySummary
•
For short range forecast, there are no significant differences of results
between the hydrostatic and non‐hydrostatic dynamics cores in coarse
resolution domains (< 9 km).
•
For high resolution ( > 3 km), non‐hydrostatic dynamics frames can
generate lee wave propagation, and more strong vertical motions
which
increase precipitation.
•
Advantages of the Non‐hydrostatic dynamic core for high resolution (<10
km) climate run.
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Plan Plan
•
Blow up problems
•
Advantages of the Non‐hydrostatic dynamic core for high resolution (<10
km) climate run.
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Thank you
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Domain 4 (Domain 4 (1 km1 km) : total precipitation (mm) for 24 hours) : total precipitation (mm) for 24 hoursCase 2 : Heavy snowfallCase 2 : Heavy snowfall
WRFWRF
HydrostaticHydrostatic NonNon‐‐HydrostaticHydrostatic diff (diff (nonhydrononhydro
––
hydro)hydro)
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
NonhydrostaticNonhydrostatic
Primitive EquationsPrimitive Equations
22
22
1 1ln
1 1ln
s bu
s bv
Q uu u u u mm u v E fv R T Ft x y x x x t
Q vv v
Q T QTT
v v mm u v E fu R T FQ Tt x y y y y t
QTT
wt
12
0
2 2
2 1 1 1ln
s s s sbQ
kk s
T
w
s
b
Q Q Q Qu um u v dt x y x y t
Q QT T T Tm u v T m ut x y t
ww w w T Qm u v g
x
Fx y tT
2 23
2 2 2 2
2
V+
s
s s sT
ksk s
T
T
s
b
b
Q Q Q Q QQ Q Fm u m vt x y T t
T T Q Q Q Q Q Q TT T T T T Qm u m v T T m u m v Ft x y t x
Q
y
Tm v F
t
y t
2 2 bq
qq q q qm u m v Ft x y t
Fully compressible Fully compressible nonhydrostaticnonhydrostatic
RSM (Juang 2000) RSM (Juang 2000)
'( ln ), ', Q p T w
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
NonhydrostaticNonhydrostatic
Primitive EquationsPrimitive Equations
Fully compressible Fully compressible nonhydrostaticnonhydrostatic
equations equations : calculation of sigma dot ( ): calculation of sigma dot ( )
2g w m u vt x yRT RT
1 2 2
0
Q Q u v Q Q u vm u v d m u vx y x y x y x y
Hydrostatic Hydrostatic : use pressure and wind: use pressure and wind
NonhydrostaticNonhydrostatic: use vertical velocity (directly) : use vertical velocity (directly)
)ln(
)ln(
ss pQpQ
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Primitive EquationsPrimitive Equations
Hydrostatic
Nonhydrostatic
2
2 1 1ln
s bu
Q T QT Q uu u u u mm u v E fv R T Ft x y x x xT t
22 s b
uQ uu u u u mm u v E fv RT F
t x y x x x t
2 21
2E u v
T
Q
T
Q
T
Q
Hydrostatic part
perturbation part
)ln()ln(
ss pQpQ
Q Q Q
lnsQ Q
2
22 2 con
s1 1l
s Q T QQu u u u mm u v E fv R Tt x
uTy x Tx
wax
w
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Current statusCurrent status
2 23 V+s s sTQ Q Q Q QFQ Qm u m v
t x y T t
12
0
s s s sbQ
Q Q Q Qu um u v dt x y x y t
2 2 22 s s
k
sk bT
T T TT T T T Tm u m v T T Ft x y
Q Q Q Q Q Q Qm u vt x y t
m
2
2 1l
1n
s bu
Q Q uu u u u mm u v E fv R T T T QT
Ft x y x x x t
2
ln1 1 1 b
www w w wm u v Tg F
t x y tQ
T
2wg m u vt x yRT RT
23 V= u v u v gm
x y x y Tw
RT R
NonhydrostaticNonhydrostatic
PressurePressure
Hydrostatic PressureHydrostatic Pressure
NonhydNonhyd
Q Q ––
hydro Q : Get pressure perturbationhydro Q : Get pressure perturbation
NonhydNonhyd
T T ––
hydro T : Get temperature perturbationhydro T : Get temperature perturbation
'( ln ), ', Q p T w
Numerical Modeling Laboratory, Department of Atmospheric ScienceNumerical Modeling Laboratory, Department of Atmospheric Sciences, Yonsei Universitys, Yonsei University
Future planFuture plan
Lee wave is a “pure dynamics”
phenomena
tested when the dynamic core is developed
check for RSM non‐hydrostatic frame
Suggested cases Suggested cases
Test dynamical core + phenomena
1. development of the convection cell
Lake effect snow storm over the East (West) sea of Korea
2. dynamically strong cyclogenesis
cyclogenesis
and it’s development in front of the Siberian High
Cloud streetCloud street