17.08.11 meteorological institute klima campus university of hamburg
TRANSCRIPT
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17.08.11
Meteorological Institute
Klima Campus
University of Hamburg
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High resolution modelling for London, UK using an urban surface exchange parameterisation for METRAS
David Grawe1,2, Heather Thompson2, Jennifer Salmond3,
Xiao-Ming Cai2, Heinke Schlünzen1
1 Meteorological Institute, Klima Campus, University of Hamburg, Germany
2 School of Geography, Earth and Environmental Sciences, University of Birmingham, UK
3 School of Environment, University of Auckland, New Zealand
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Introduction
Motivation
• Direct influence of tall buildings and sealed surface on
meteorological variables
• Indirect impact on dispersion and chemical reactions
• Changes in land use due to urbanisation
Aim
• Evaluation of the implementation
• Description of regional influence of urban effect
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Urban Areas
wind,turbulence
radiativetrapping
localshading
sealedsurfaces
emissions
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• 3d mesoscale numerical model
• prognostic, non-hydrostatic
• Part of M-SYS:METRAS / MECTM / MITRAS / MICTMused as meteorological preprocessor for chemistry model
• Previously: 10 land use classes, incl 1 urban(has been extended since this study)
• Sub-grid land use with flux averaging
METRAS
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• BEP: Building Energy Parametrisation
• Martilli et al (2002)
• Multi-layer1d-model
• Implementedinto severalother models
z = 10 m
z = 30 m
z = 50 m
z = 72 m METRAS GRID
BEP GRIDdz = 5 m
RuralSub-urban Urban Sub-urban
Rural
1 km
METRAS- and BEP-grid
BEP
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Dynamical effect
Influence of horizontal and vertical surfaces onmomentum, TKE, turbulent length scales
Thermodynamic effect
Turbulent heat flux above horizontal surfaces
Surface enegy budget with radiative trappingand shading
Heat diffusion equation solved for all surfaces
BEP
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• Building height distriution asprobability distribution(several classes)
• Direction of street canyons
• Street and building width
• Core building temperature
z [m]
Fraction [%]
BEP Input Data
5
10
15
20
25
30
35
40
45
50
0 10 20 30 40 50 60 70
SuburbanColumn C
Roof height of buildings
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OrographyFraction of
urban land use
(from USGS) (from CEH Edinburgh)
Application to London
[m] [%]
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Domain dimensions
Size 70 x 70 km² (100 x 100 km²)Resolution 1 x 1 km2
Land use
Realistic land use with two urban classes
Meteorological conditions
Driven with radiosonde data every 6 hours
Set-up for London domain
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6-7 August 1998
Part of a longer period with average UHI
No/few clouds
Low wind speed
30-31 July 1999
Temperatures above average
No/few clouds
Low wind speed
Selected situations
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Urban
London Weather Centrecity centreroof top
Heathrowairport
St James’ Parkurban park
Rural
Wisley32 km south west
Bracknell-Beaufort Parkoutside ofmodel domain
Comparison data (MIDAS)
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London Weather Centre Heathrow
METRAS
METRAS+ BEP
SJP
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40 45 50
Timesteps (hourly from midnight)
Air
te
mp
(C
)
St James’ Park
Temperature: 30-31 July 1999
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Temperature: all locations, all days
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Wind: 7-8 August 1998
LWC
LH
R
wind speed [m/s] wind direction [deg]
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Temp Temp wind speed
wind speed
wind dir. wind dir.
METRAS METRAS-BEP METRAS METRAS-BEP METRAS METRAS-BEP
LWC bias -3.4 , -2.1 -1.1 , 0.4 -1.7 -2.4 -13.7 -11.3
corr. coeff.
.94 , .84 .95 , .86 .45 .72 -.13 .42
hit rate .29 , .63 .52 , .77 .25 .13 .73 .60
LHR bias -2.6 , -2.3 -1.1 , -.5 -.1 -.9 -20.5 -17.8
corr. coeff.
.93 , .90 .99 , .97 .54 .83 .08 .50
hit rate .42 , .54 .50 , .69 .69 .66 .75 .71
SJP bias -2.9 -0.6 - - - -
corr. coeff.
.92 .96 - - - -
hit rate .38 .69 - - - -
Summary of comparison
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Analysis of the urban effect
Urban effect: model-centric definition
result of model run with current land use- result of model run with no urban fraction----------------------------------------------------------------
effect of the urban area
(annihilation approach)
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Effect on temperature / UHI
T (current urbanisation) – T (rural domain)
ΔT[K]
ΔT[K]
4:00 a.m. 12:00 noon
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FF (current urbanisation) – FF (rural domain)
4:00 a.m. 12:00 noon
ΔFF[m/s]
ΔFF[m/s]
Effect on wind speed
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Regional effect
REI = total area of affected cells / total area of urban cells
≥ 100%
urban grid cell:
any cell with at least 30% urban land use
affected grid cell:
defined, so that the total urban area is affectedany cell with a difference higher than the lowest
difference of any urban cell is affected
based on Trusilova et al. (2008)
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Regional effect
REI = total area of affected cells / total area of urban cells
Parameter Threshold REI
Temperature at 04:00 a.m. 1.43 K 227 %
Temperature at 12:00 noon 0.82 K 125 %
Tmin_diurnal1.47 K 219 %
Tmax_diurnal0.64 K 123 %
Wind speed at 04:00 a.m. 0.91 m/s 123 %
Wind speed at 12:00 noon 1.15 m/s 122 %
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Conclusions
• Implementation of BEP into METRAS improves resultsfor the urban area.
• Suitable measurements required in the urban area.
• Urban impact on meteorology not limited to the urban area.
• High data demand for adequate application of BEP.
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Outlook
Impact on chemistry
Application for urban climate studiesfor Hamburg, Germany
Incorporate more detailed informationabout the urban area:
- building resolved building heights- street resolved street direction
and street width
Include direct anthropogenic heat flux.
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17.08.11
THE END
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Domain dimensions
Size 40 x 40 km2
Resolution 1 x 1 km2
Land use
Centre (400 km2) urbanBackground meadows
Meteorological conditions
Geostrophic wind speed 4.0 m/sPotential temperature gradient 3.5 K/km
Idealised Domain
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PotentialTemperature
Windspeed
TKE
green: METRAS black: METRAS+BEP yellow: rural
Idealised Domain
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Extent of urban area: 6km, 10km, 20km
Sensitivity to size of urban area
Tpot
[K]
Distance across domain [km]
6 km
10 km20 km
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Extent of urban area: 6km, 10km, 20km
Sensitivity to size of urban area
Tpot
[K]
Distance across domain [km]
ΔT = 3.0 K
ΔT = 3.5 K
ΔT = 4.0 K
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UHI
UHI diurnal cycle
REPLACE WITH FIGURE FROM PUBLICATION
UHI intensity: Highest temperature difference'Current land use' – 'rural land use' within the domain
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Detailed data for Hamburg
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Potential Temperature
z = 10m z = 30m
Idealised Domain
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SJP
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40 45 50
Timesteps (hourly from midnight)
Air
tem
p (
C)
LHR
METRAS
METRAS+ BEPSt James’ Park
LHR
0
5
10
15
20
25
30
35
0 5 10 15 20 25 30 35 40 45 50
Timesteps (hourly from midnight)
Air
tem
p (
C)
Heathrow
6-7 August 1998
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LWC
METRAS
METRAS+ BEP
LWC: 30-31 July 1999
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0
5
10
15
20
25
30
35
0 5 10 15 20 25 30 35 40 45 50
Timesteps (hourly from midnight)
Air
tem
p (
C)
LWC
METRAS
METRAS+ BEP
LWC: 6-7 August 1998
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LHR
METRAS
METRAS+ BEP
LHR: 30-31 July 1999
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LHR
0
5
10
15
20
25
30
35
0 5 10 15 20 25 30 35 40 45 50
Timesteps (hourly from midnight)
Air
te
mp
(C
)
LHR
METRAS
METRAS+ BEP
LHR: 6-7 August 1998
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SJP
0
5
10
15
20
25
30
0 5 10 15 20 25 30 35 40 45 50
Timesteps (hourly from midnight)
Air
tem
p (
C)
SJP
METRAS
METRAS+ BEP
SJP: 6-7 August 1998
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17.08.11
• Urban areas
• Model components
• Simplified tests
• Evaluation and analysis for London
• Outlook (Hamburg)