© Crown copyright 2006 SRNWP 9-12 October 2006, Zurich Page 1 Variable resolution or lateral boundary conditions Terry Davies Dynamics Research Yongming Tang, Junichi Ishida
Mar 29, 2015
© Crown copyright 2006 SRNWP 9-12 October 2006, Zurich Page 1
Variable resolution or
lateral boundary conditions
Terry Davies Dynamics Research
Yongming Tang, Junichi Ishida
© Crown copyright 2006 SRNWP 9-12 October 2006, Zurich Page 2
UM Dynamical Core
Fully compressible, non-hydrostatic deep atmosphere
Semi-Lagrangian advection Semi-implicit time integration
Horizontal C grid Vertical – Charney-Phillips Scheme Hybrid height coordinate
(1 )t t t t t td d
DuF
Dtu u F F
Davies, Cullen, Malcolm, Mawson, Staniforth, White, Wood Quart. Journal Roy. Met. Soc 2005
© Crown copyright 2006 SRNWP 9-12 October 2006, Zurich Page 3
Vertical and Horizontal Grid Staggering
Horizontal staggering - Awakawa C-grid
No grid decoupling
Better geostrophic adjustment for wavelengths of gridsize less than Rossby radius of deformation
Vertical staggering - Charney-Phillips
No computational modes
More consistent with thermal wind balance
Can have complications in coupling with boundary layer parametrisation
W,
U,ρ
W,
Ui-1/2 ,j
Vi,j+1/2
Vi,j-1/2
Ui+1/2 ,j∏i,j
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Physical Parametrizations
Edwards-Slingo Radiation (Edwards & Slingo 1996)
Mixed phase precipitation (Wilson & Ballard 1999)
New Boundary Layer + 38L (Lock et al 2000)
New GWD scheme + GLOBE orography
smoothed (Raymond filter)
Modern spectral database for gaseous absorption in the atmosphere + new H2O continuum -
flexible configuration Multiple scattering included Better optical properties for
clouds inc. non-spherical ice parametrisation
© Crown copyright 2006 SRNWP 9-12 October 2006, Zurich Page 6
Physical Parametrizations
Edwards-Slingo Radiation (Edwards & Slingo 1996)
Mixed phase precipitation (Wilson & Ballard 1999)
New Boundary Layer + 38L (Lock et al 2000)
New GWD scheme + GLOBE orography
smoothed (Raymond filter)
Physically based transitions between vapour, liquid, ice and rain
Ice content now a prognostic variable rather than diagnosed from cloud scheme
© Crown copyright 2006 SRNWP 9-12 October 2006, Zurich Page 7
Physical Parametrizations
Edwards-Slingo Radiation (Edwards & Slingo 1996)
Mixed phase precipitation (Wilson & Ballard 1999)
New Boundary Layer + 38L (Lock et al 2000)
New GWD scheme + GLOBE orography
smoothed (Raymond filter)
Allows for non-local mixing in unstable regimes
Scheme diagnoses 6 different mixing regimes in order to represent stable, well mixed and cumulus processes
Scheme includes boundary layer top entrainment parametrisation
Improved interaction with the convection scheme
© Crown copyright 2006 SRNWP 9-12 October 2006, Zurich Page 8
Physical Parametrizations
Edwards-Slingo Radiation (Edwards & Slingo 1996)
Mixed phase precipitation (Wilson & Ballard 1999)
New Boundary Layer + 38L (Lock et al 2000)
New GWD scheme + GLOBE orography
smoothed (Raymond filter)
Simplified scheme Expression for linear 2D flow
used to calculate total surface pressure drag
Gravity wave amplitudes proportional to depth of sub-grid mountains above blocked layer
Remainder of drag is attributed to flow blocking
© Crown copyright 2006 SRNWP 9-12 October 2006, Zurich Page 9
Future Developments
Dynamical core improvements
More consistent treatment of moisture
Conserving semi-Lagrangian advection scheme
Variable resolution grid
Resolution increases - (70 levels, 40km)
New physical parametrizations
New prognostic cloud scheme
New convection scheme
© Crown copyright 2006 SRNWP 9-12 October 2006, Zurich Page 10
UM Operational Configurations
Global 40 kmN320L50
North Atlantic & European 12 km
UK 12 km (retired)
New UK 4 km
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Convective scale NWP
Variable Resolution / Nested models
Case Studies with one-way nested UM NWP with variable resolution UM
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Variable Resolution
Grid StructureGrid varies from coarse resolution at the outer boundaries smoothly to a uniform fine resolution in the interior of the domain
UniformHigh Res
zoneVar-Res 2Var-Res 1
UniformCoarse Res 1
UniformCoarse Res 2
Typically, there are 3 regions, and inflation ratio R1 = R2 = 5~10%e.g. = 1 km, R1 = R2 = 10 % N_vr = 34 / 24 / 15 points = 25 / 10 / 4 km
R2R1
© Crown copyright 2006 SRNWP 9-12 October 2006, Zurich Page 13
Variable Resolution
Grid StructureGrid varies from coarse resolution at the outer boundaries smoothly to a uniform fine resolution in the interior of the domain
UniformHigh Res
zoneVar-Res 2Var-Res 1
UniformCoarse Res 1
UniformCoarse Res 2
Typically, there are 3 regions, and inflation ratio R1 = R2 = 5~10%
e.g. = 1 km, R1 = R2 = 10 % N_vr = 34 / 24 / 15 points = 25 / 10 / 4 km
R2R1
© Crown copyright 2006 SRNWP 9-12 October 2006, Zurich Page 14
Costs (relative to 4km)
Area/ 2 km 1.85km 1.5 km 1 km
100% 8 10 19 64
25% 5 - 10 25
10% - - - 10
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Convective scale NWP
Forecasting precipitation from severe convection
Parametrized convection – limited success Very high resolution models (over a small domain), with
detailed controlling factors, such as surface forcing and orography – promising
Nesting -- typically 3 - 5:1 Requires a smooth transition Mismatch of grids and model physics (e.g. coarse
resolution model does not explicitly represent convection). Possible solution: variable resolution ?
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UM NWP Model Domains
1-Way Nested Limited Area Configuration
HORIZONTAL VERTICAL (lowest km)
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NWP Model Orography
12 km 4 km 1 km
Height of model orography (m)
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Case Study
3rd May 2002 caseMay 3 2002 case is a scattered convection case.
To compare 1 km to 4 km variable resolution to a 1 km model nested inside a 4 km model .
First, the conventional nested model.
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May 3 2002 Case ----- Nested model
1 km high resolution nested model and radar rainfall at 14 UTC
1 km4 km12 km Radar
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May 3 2002 Case ----- Nested model
1 km high resolution nested model and radar rainfall at 15 UTC
1 km4 km12 km Radar
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Summary of nested model result
3rd May 2002 case Nested models suffered two major problems:
Spin up problem: at the inflow boundaries (northern) the nested model is too slow to produce convection.
Transition problem: at the end of the run when finally the large convection cells are being advected in from the 4 km model, they remain as large cells in the north.
How well will variable resolution model do ?
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May 3 2002 Case ----- variable resolution model
Rainfall at 14 UTC. The three regions of the variable resolution domain are also shown
Radar1km
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May 3 2002 Case ----- variable resolution model
Rainfall at 15 UTC. The three regions of the variable resolution domain are also shown
Radar1km
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Summary
In the variable resolution model, when the ratio of the minimum and maximum grid is the same as a conventional nesting ratio of 1 : 4, it performs better in resolving convective scale storms. In particular it has overcome the problems of spin up and transition, highlighted in the nested model.
Further study is needed on the physical parametrization schemes if ratio > 4.
We are currently working on a grid-scale dependent convection scheme.
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Lateral boundaries
To run variable resolution LAM will still need lbcs.
Current lbcs use standard merging technique
Semi-Lagrangian advection applies lbcs naturally
Apply appropriate lbcs to Helmholtz equation
Need to filter small-scale outflow information
For mpp, lateral boundary files do not need external halos
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The End