Service Group Adaption – SGA Project hosted at Model

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Transcript Service Group Adaption – SGA Project hosted at Model

Service Group Adaption – SGA
Project hosted at Model & Data / MPI-M, Hamburg, Germany
Change of Wind Speed in Europe in
Regional Climate Model Scenario
Projections
B. Hennemuth, H.-D. Hollweg, M. Schubert
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Content

Introduction SGA, climate change

Regional model, data base

Methodology

Climatological averages

Statistics of wind speed and wind
speed change

Summary and outlook
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Introduction
Introduction SGA
 Service Group Adaptation has been established by
German Federal Ministry of Education and Research
(BMBF) to assist projects which develop strategies for
adaptation to climate trends and extreme weather.
SGA provides a common data base of regional climate
model data.
SGA gives assistance with methods
to analyse climate data.
SGA is hosted at the Max-Planck-Insitute for Meteorology
in Hamburg, Germany, as project at the national data
service group ‘Model and Data‘.
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Introduction
Global climate models
• Simulate all relevant processes
in ocean, atmosphere, and (biosphere)
on a global grid by physical equations.
• Small-scale processes
(clouds, precipitation, radiation, soil,
turbulence, etc. ) are
described by large-scale parameters.
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Introduction
Global climate models
• start with a pre-industrial long-term
simulation with constant concentration of
greenhouse gases.
• calculate present-day climate with realistic
greenhouse gas concentration
from 1860 to 2000.
• scenario projections of economic growth to
assess corresponding future climates.
• do this for different starting points
from pre-industrial equilibrium run
 different realizations  Ensemble
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Introduction
IPCC (Intergovernmental Panel on Climate change)
has defined scenarios depending on:
• demographic development
• socio-economic development
• technological change
• heterogeneity of world
population
• global or regional solutions for
challenges
Implement these changes as emission
scenarios for greenhouse gas concentration
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Regional model, data base
Regional model: CLM (Climate Local Model, based on
weather forecast model of German Meteorological Service)
CLM is embedded in global
model ECHAM5/MPIOM,
is initialized at 1960
global model:
ECHAM5-MPIOM
Is forced by global model data
throughout the simulation at the
boundaries
CLM builds its own regional dynamical structures
(= weather) within the model region
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Regional model, data base
Model simulations:
Orography
 Model region Europe
 Horizontal resolution ~20 km
33 vertical levels, lowest levels:
33 m, 110 m, 220 m
 ‘Rotated grid’, NetCDF-format
 Transient simulation
1960-2100
 Climate of 20th century
1960 – 2000: C20 (3 runs)
 Szenarios
2001 – 2100:
A1B (2 runs)
B1 (2 runs)
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Regional model, data base
• Output values must not be interpreted for single
grid boxes.
• Time / date must not be taken as real time / date.
• Scenarios are assumptions of how the climate
system may develop.
• Climate is variable (in model and in reality),
decadal averages are still highly variable,
therefore different realizations.
• Each model contains deficits, the global as well
as the regional model.
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Methodology
Statistical analysis is done by
•
Calculation of climatological means of wind speed on
model levels (time slices 1961-1990, 2021-2050,
2071-2100, all scenarios, all realizations).
•
Scenario projections on mean wind speed compared
to present-day wind speed (‘climate change signal’).
•
Histograms of 3 h wind speed over selected subregions (at least 20 grid boxes over rather
homogeneous terrain) and 30-year time slices.
•
Histograms of differences of 3 h wind speed.
•
Caution: figures partly show 10 m wind speed on regular grid and for
2021-2050 and partly wind speed on model levels and for early 21.
century time slice 2001-2030.
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Methodology
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For present-day and future climate data analysis we define subregions over Europe covering at least 20 model grid boxes:
North Sea area off the Frisian Islands
Northern Germany near North Sea coast
Middle German Low Mountains
Southern Baltic Sea
South-western highlands of Iberian peninsula
Aegean Sea
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Climatological averages
3 realizations of present-day climate
(10 m wind speed)
 Similar structure
 Regional wind systems visible:
Mistral, storms in Northern Atlantic,
Aegean Sea.
 Large differences between sea and
land (realistic over sea?), sharp
transition.
 Average annual mean of wind speed
in Northern Germany: 4-5 m/s.
 Comparison with data set for
Germany (DWD) gives differences of
up to ±1 m/s.
(Walter et al., Meteorol.Z., 15, 2006)
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Climatological averages
2021-2050 –
1961-1990
A1B_1 – C20_1
(left)
A1B_2 – C20_2
(right)
Climate change signal for 10 m wind speed shows slight
- increase for northern Europe (~0.1 m/s)
- decrease for southern Europe (~0.1-0.2 m/s)
- increase over Baltic Sea and Aegean Sea (~0.3 m/s)
2071-2100 –
1961-1990
A1B_1 – C20_1
(left)
A1B_2 – C20_2
(right)
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Statistics of wind speed and wind speed change

Histograms show changes in
different wind speed classes

Analyse 3 h wind speed data at
33 m, 110 m, 220 m

Consider all single values
(statistics over n boxes)

Histograms have linear ordinate
up from frequency of 1% (upper
part) representing classes of most
frequent wind speed and
logarithmic ordinate (10-5 – 100)
representing seldom events (like
single storms, 10-5 = one event per
region)

Green bars:
present-day
Open black bars: scenario
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Statistics of windspeed and wind speed change
Wind speed at 110 m
for northern Germany (left)
and German Bight (right),
1961-1990 (green) and
Upper: 2001-2031
Bottom: 2071-2100
• very similar histograms
in the ‘normal’ range
• increase in wind speed
> 20 m/s at both
• Increase in low wind
speed
• no large change
between begin and end
of century
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Statistics of wind speed and wind speed change
Present-day (green) and end of 21. century
Baltic Sea: decrease of low and moderate wind
speed, increase of moderate to large wind speed
Spain: increase of
low wind speed,
decrease of wind
speed > 5 m/s
Aegean Sea: decrease of wind speed < 10 m/s
and storms > 30 m/s, increase of large wind
speed 10-20 m/s and ~30 m/s
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Statistics of wind speed and wind speed change
spring
summer
Seasonal differences in 10 m wind speed over Germany:
decrease in spring and summer, increase in autumn and winter,
but in all seasons decrease over Alps and increase over sea
autumn
winter
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Summary and outlook

Average wind speed changes in Europe are expected
to be small under future scenario conditions.

Increase over northern Europe (Germany),
decrease over southern Europe (Germany) except Aegean Sea.

Histograms of present-day show more details, e.g. increase of
strong wind over northern Germany / German Bight,
increase of low wind speed over Spain.

Seasonal differences of climate change signal for Germany:
decrease of wind speed in summer, increase in winter.

Not yet all data processed, but tendency appears to be clear.
Analysis continues …
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Statistics of windspeed and wind speed change
German midlands:
Increase of low wind speed (< ~5 m/s)
Decrease of moderate to high wind
speed (5 – 15 m/s)
Increase of strong winds > 15 m/s
i.e. more extreme values
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
M&D Technical Report about CLM-Simulationen:
http://sga.wdc-climate.de/news
Contact and Information
Service Gruppe Anpassung - SGA:
Internet: http://sga.wdc-climate.de
email: [email protected]
Climated data base WDCC:
http://wdc-climate.de
CERA data base:
http://cera.wdc-climate.de
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Rotierte Länge und Breite (blaue Linien) für ein sphärisches Koordinatensystem mit
dem Nordpol am Punkt PN mit den geographischen Koordinaten
N=162°W und N=39,25°N.
Orange Linien: Länge und Breite des unrotierten geographischen Systems.
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Regional model, data base
Data are available from CERA database (Model & Data, MPI-M)
http://www.mad.zmaw.de/
CERA-Portal
WDCC
Experiments
Only data transformed to pressure levels or interpolated
near-surface data (wind speed at 10 m, 2 m temperature, ..)
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008
Statistical Analysis, histograms
(SGA / M&D / MPI-M)
DEWEK 2008, Bremen 26.11.2008