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ECMWFGoverning Equations 4 Slide 1
Governing Equations IVby Nils Wedi (room 007; ext. 2657)
Thanks to Anton Beljaars
ECMWFGoverning Equations 4 Slide 2
Introduction
Nonhydrostatic model NH - IFS
Physics - Dynamics coupling
ECMWFGoverning Equations 4 Slide 3
Introduction – A historyResolution increases of the deterministic 10-day medium-range
Integrated Forecast System (IFS) over ~25 years at ECMWF:
1987: T 106 (~125km)
1991: T 213 (~63km)
1998: TL319 (~63km)
2000: TL511 (~39km)
2006: TL799 (~25km)
2010: TL1279 (~16km)
2015?: TL2047 (~10km)
2020-???: (~1-10km) Non-hydrostatic, cloud-permitting, substan-tially
different cloud-microphysics and turbulence parametrization, substantially
different dynamics-physics interaction ?
ECMWFGoverning Equations 4 Slide 4
Ultra-high resolution global IFS simulations
TL0799 (~ 25km) >> 843,490 points per field/level
TL1279 (~ 16km) >> 2,140,702 points per field/level
TL2047 (~ 10km) >> 5,447,118 points per field/level
TL3999 (~ 5km) >> 20,696,844 points per field/level (world
record for spectral model ?!)
ECMWFGoverning Equations 4 Slide 5
Orography – T1279Max global altitude = 6503m
Alps
ECMWFGoverning Equations 4 Slide 6
Orography - T3999
Alps
Max global altitude = 7185m
ECMWFGoverning Equations 4 Slide 7
H TL3999NH TL3999
Computational Cost at TL3999hydrostatic vs. non-hydrostatic IFS
ECMWFGoverning Equations 4 Slide 8
Nonhydrostatic IFS (NH-IFS)
Bubnova et al. (1995); Benard et al. (2004), Benard et al. (2005), Benard et al. (2009), Wedi and Smolarkiewicz (2009),Wedi et al. (2009)
Arpégé/ALADIN/Arome/HIRLAM/ECMWF nonhydrostatic dynamical core, which was developed by Météo-France and their ALADIN partners and later incorporated into the ECMWF model and adopted by HIRLAM.
ECMWFGoverning Equations 4 Slide 9
Vertical coordinate
withcoordinate transformation coefficient
hybrid vertical coordinateSimmons and Burridge (1981)
Prognostic surface pressure tendency:
Denotes hydrostatic pressure in the context of a shallow, vertically unbounded planetary atmosphere.
ECMWFGoverning Equations 4 Slide 10
Two new prognostic variables in the nonhydrostatic formulation
‘Nonhydrostaticpressure departure’
‘vertical divergence’
Three-dimensional divergence writes
With residual residual
Define also:
ECMWFGoverning Equations 4 Slide 11
NH-IFS prognostic equations
‘Physics’
ECMWFGoverning Equations 4 Slide 12
Diagnostic relations
With
ECMWFGoverning Equations 4 Slide 13
Auxiliary diagnostic relations
ECMWFGoverning Equations 4 Slide 14
Numerical solution
Advection via a two-time-level semi-Lagrangian numerical technique as before.
Semi-implicit procedure with two reference states with respect to gravity and acoustic waves, respectively.
The resulting Helmholtz equation is more complicated but can still be solved (subject to some constraints on the vertical discretization) with a direct spectral method as before.
(Benard et al 2004,2005)
ECMWFGoverning Equations 4 Slide 15
Hierarchy of test cases
Acoustic waves
Gravity waves
Planetary waves
Convective motion
Idealized dry atmospheric variability and mean states
Idealized moist atmospheric variability and mean states
Seasonal climate, intraseasonal variability
Medium-range forecast performance at hydrostatic scales
High-resolution forecasts at nonhydrostatic scales
ECMWFGoverning Equations 4 Slide 16
Spherical acoustic wave
Tim$ ( 100.000)
-0.030 -0.018 -0.006 0.006 0.018 0.030pr$ss d$partur$
1000.00
100.00
10.00
1.00
0.10
0.01
pr$
ssur$
Tim$ ( 100.000)
-0.030 -0.018 -0.006 0.006 0.018 0.030pr$ss d$partur$
1000.00
100.00
10.00
1.00
0.10
0.01
pr$
ssur$
-0.0
04
-0.0
04
-0.0
02
-0.0
02 0.0
04
0.0
04
0.0
04
0.0
04
50°S50°S
40°S 40°S
30°S30°S
20°S 20°S
10°S10°S
0° 0°
10°N10°N
20°N 20°N
30°N30°N
40°N 40°N
50°N50°N
140°W
140°W 120°W
120°W 100°W
100°W 80°W
80°W 60°W
60°W 40°W
40°W
Friday 15 Octob$r 2004 12UTC ECMWF For$cast t+10000 VT: Tu$sday 6 D$c$mb$r 2005 04UTC Mod$l L$v$l 91 **Exp$rim$ntal product
0.001-0
.008 - 0
. 002
- 0. 0
02
50°S50°S
40°S 40°S
30°S30°S
20°S 20°S
10°S10°S
0° 0°
10°N10°N
20°N 20°N
30°N30°N
40°N 40°N
50°N50°N
140°W
140°W 120°W
120°W 100°W
100°W 80°W
80°W 60°W
60°W 40°W
40°W
Friday 15 Octob$r 2004 12UTC ECMWF For$cast t+10 VT: Friday 15 Octob$r 2004 22UTC Mod$l L$v$l 91 **Exp$rim$ntal product
0.001
Tim$ ( 100.000)
-0.030 -0.018 -0.006 0.006 0.018 0.030pr$ss d$partur$
1000.00
100.00
10.00
1.00
0.10
0.01
pr$
ssur$
Tim$ ( 100.000)
-0.030 -0.018 -0.006 0.006 0.018 0.030pr$ss d$partur$
1000.00
100.00
10.00
1.00
0.10
0.01
pr$
ssur$explicit
implicit
analytic
NH-IFS
horizontal vertical
C ~ 340m/s
ECMWFGoverning Equations 4 Slide 17
Orographic gravity waves H - IFS
ECMWFGoverning Equations 4 Slide 18
Orographic gravity waves – NH - IFS
ECMWFGoverning Equations 4 Slide 19
“Scores”
Population: 45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45 (av$rag$d)M$an calculation m$thod: standard
Dat$: 20070301 12UTC to 20081101 12UTCS.h$m Lat -90.0 to -20.0 Lon -180.0 to 180.0
Anomaly corr$lation for$cast500hPa G$opot$ntial
M$an curv$s
0 1 2 3 4 5 6 7 8 9 10For$cast Day
30
40
50
60
70
80
90
100
110
f35d nh-ifs
f354 h-ifs
Population: 45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45 (av$rag$d)M$an calculation m$thod: standard
Dat$: 20070301 12UTC to 20081101 12UTCS.h$m Lat -90.0 to -20.0 Lon -180.0 to 180.0
Root m$an squar$ $rror for$cast500hPa G$opot$ntial
M$an curv$s
0 1 2 3 4 5 6 7 8 9 10For$cast Day
0
20
40
60
80
100
120
f35d nh-ifs
f354 h-ifs
TL1279 L91 ~ 16 km
NHH
Population: 45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45 (av$rag$d)M$an calculation m$thod: standard
Dat$: 20070301 12UTC to 20081101 12UTCS.h$m Lat -90.0 to -20.0 Lon -180.0 to 180.0
Anomaly corr$lation for$cast500hPa G$opot$ntial
M$an curv$s
0 1 2 3 4 5 6 7 8 9 10For$cast Day
30
40
50
60
70
80
90
100
110
f35d nh-ifs
f354 h-ifs
Population: 45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45 (av$rag$d)M$an calculation m$thod: standard
Dat$: 20070301 12UTC to 20081101 12UTCS.h$m Lat -90.0 to -20.0 Lon -180.0 to 180.0
Root m$an squar$ $rror for$cast500hPa G$opot$ntial
M$an curv$s
0 1 2 3 4 5 6 7 8 9 10For$cast Day
0
20
40
60
80
100
120
f35d nh-ifs
f354 h-ifs
ECMWFGoverning Equations 4 Slide 20
Physics – Dynamics coupling
‘Physics’, parametrization: “the mathematical procedure describing the statistical effect of subgrid-scale processes on the mean flow expressed in terms of large scale parameters”, processes are typically: vertical diffusion, orography, cloud processes, convection, radiation
‘Dynamics’: “computation of all the other terms of the Navier-Stokes equations (eg. in IFS: semi-Lagrangian advection)”
The ‘Physics’ in IFS is currently formulated inherently hydrostatic, because the parametrizations are formulated as independent vertical columns on given pressure levels and pressure is NOT changed directly as a result of sub-gridscale interactions !
The boundaries between ‘Physics’ and ‘Dynamics’ are “a moving target” …
ECMWFGoverning Equations 4 Slide 21
Different scales involved
NH-effects visible
ECMWFGoverning Equations 4 Slide 22
Single timestep in two-time-level-scheme
ECMWFGoverning Equations 4 Slide 23
Cost partition of a single time-step
Note: Increase in CPU time
substantial if the time step
is reduced for the ‘physics’
only.
ECMWFGoverning Equations 4 Slide 24
dynamics-physics coupling
gwdragvdifcloudconvradcloudconvrad
t
PPPP
tOgtPgttPgtP
PRGGt
FF
2
1
2
1
))((),(),(2
1),(
2
1
02/1
2022
2/1
2/12/100
!!!box black anot is P
ECMWFGoverning Equations 4 Slide 25
Noise in the operational forecasteliminated through modified coupling
ECMWFGoverning Equations 4 Slide 26
Wrong equilibrium ?
, ( ) , .
correct steady state solution:
TD P P T gT g const
t
DT
g
ECMWFGoverning Equations 4 Slide 27
Compute D+P(T) independant
1
11
1.
2. (1 )
add 1. 2. together and seek steady state solution:
explicit 0 :
implicit ( 1 : (1 ),
n nn
n nn n
n
n
T T TD D
t t
T T TgT g T T
t t
D(γ ) T
g
Dγ ) T g t
g
wrong!
ECMWFGoverning Equations 4 Slide 28
Compute P(D,T)
1
11
1.
2. (1 )
seek steady state solution of 2. :
explicit 0 :
implicit ( 1 : ,
n nn
n nn n n
n
n
T T TD D
t t
T T TD gT D g T T
t t
D(γ ) T
g
Dγ ) T
g
correct!
ECMWFGoverning Equations 4 Slide 29
Sequential vs. parallel split of 2 processesvdif + dynamics
12 15 18 21 24 27 30 33 36Forecast step (hours)
0
5
10
15
U (
m/s
)
parallel split (ej4k)sequential split (ej4n)bad sequential split (ej4x)sequential split, dt=5 min (ej4m)
(90 W, 60 S) T159 forecasts 2002011512, dt=60 min
parallel split
sequential split
A. Beljaars
ECMWFGoverning Equations 4 Slide 30
Negative tracer concentration – Vertical diffusion
Negative tracer concentrations noticed despite a quasi-monotone advection scheme
(Anton Beljaars)
ECMWFGoverning Equations 4 Slide 31
Physics-Dynamics couplingVertical diffusion
Single-layerproblem
(Kalnay and Kanamitsu, 1988)
dynamics positive definite
ECMWFGoverning Equations 4 Slide 32
Physics-Dynamics couplingVertical diffusion
Two-layerproblem
Not positive definite depends on !!!
dynamics positive definite
50 55 60Model level
-1e-14
0
1e-14
2e-14
3e-14
4e-14
Aer
osol
con
cent
ratio
n
old time levelafter dynamics only new time level
72.3N/2.5E
50 55 60Model level
-1e-14
0
1e-14
2e-14
3e-14
4e-14
Aer
osol
con
cent
ratio
n
old time levelafter dynamics only new time level
72.3N/2.5E
(D+P)t+t
Dt+t
(D+P)t
= 1.5
= 1
Anton Beljaars
Negative tracer concentrationwith over-implicit formulation