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Large-Scale Control in Arctic Modelling – A suggestion for a Reconstruction of the Recent Past. Hans von Storch Institute for Coastal Research GKSS Research Centre Geesthacht, Germany. - PowerPoint PPT Presentation
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Large-Scale Control in Arctic Modelling –
A suggestion for aReconstruction of the Recent
Past Hans von Storch
Institute for Coastal ResearchGKSS Research CentreGeesthacht, Germany
Open Science Meeting (OSM) for the Study of Environmental Arctic Change (SEARCH), Seattle, 25-31. October 2003
Lars Bärring, pers. comm.
Storm proxies, derived from local air pressure readings
stormproxies 1820-2001
Regional atmospheric modelling: nesting into a global state
Dynamical downscaling of known large-scale state given by, e.g., NCEP re-analyses.
Concept: Regional space-time details form as a response to large scale conditioning and response to regional physiographic detail. This formation is described by RCMs.
The Rinke & Dethloff study on regional modelling of the Arctic atmosphere
Rinke, A., and K. Dethloff, 2000: On the sensitivity of a regional Arctic climate model to initial and boundary conditions. Clim. Res. 14, 101-113.
Ensemble standard deviation 500 hPa height [m²/s²]
.operator suitable a
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:nintegratio Forward
modeln observatio
model dynamical
errorsn observatio and model , h wit
equation n Observatio
equation space State
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ε) ;ηF(ΨΨ
t*t
*t t
tt
tt*t
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Concept of Dynamical DownscalingRCM Physiographic detail
3-d vector of state
Known large scale state
projection of full state on large-scale scale
Large-scale (spectral) nudging
Well resolved
Insufficiently resolved
Spatial scales
vari
ance
regional model
Added value
We use …
• REMO, 0.5 deg
• Europe
• NCEP forcing with spectral nudging – wave numbers k = 1-3, applied to wind components above 850 hPa
Mean monthly
precipitation [mm/month]
for 1999.
REMO
Frauke F
ese
r, p
ers
. co
mm
.
NCEP
Marcos Garcia Sotilla, 2003
Assimilated into NCEP(Atlantic)
Not assimilated into NCEP (Ionic Sea)
Wind speed at two bouys
Buoy data
Temperature at two locations:
PEÑAS buoy: Atlantic buoy located at 43.73N, 6.16W (North coast of Iberian Peninsula).
BMAHO buoy: Mediterranean buoy located at 39.72N,4.44E (In front of island of Menorca).
Not assimilated by NCEP
Comparison of local data with NCEP and REMO/downscaled.
Peñ
as
BM
AH
O
NCEP vs. obsNCEP vs. obs
REMO vs. obs REMO vs. obs
Marcos Garcia Sotillo (2003)
Buoy data
Wind speed at two locations:
ZSANT buoy located at 36.26N,25.50W (close to the greek island of Santorini)
ESTAC buoy located at 44.06N,7.62W (North coast of Iberian Peninsula).
Not assimilated by NCEP
Comparison of local data with NCEP and REMO/downscaled.
ES
TA
C
ZS
AN
TMarcos Garcia Sotillo (2003)
NCEP vs. obs NCEP vs. obs
REMO vs. obs REMO vs. obs
Extreme wind speeds
20-year return values of wind speed,
based on daily 1992-97 data (color codes)
plus from station data in NL (numbers in black)
Southern North Sea
DWD REMO
Fese
r, p
ers
. co
mm
.
Weis
se, pers
. co
mm
.
Ocean wave height
reconstruction Solid: HIPOCAS RCM/NCEP reconstruction
Dashed: WASA/DNMI SLP reconstruction
Red: Local observations
50%, 90%, 95% and 99%iles.
Beate
Mülle
r, p
ers
. co
mm
.
DWD analysis
))
1958-2002 assessment• Regional atmospheric modeling, combined
with appropriate nesting into a large scale regime, allows for a reasonable, space-time detailed reconstruction of marine weather stream of the past 40, or so, years.
• This reconstruction may be used to study the dynamics of weather-sensitive environmental aspects, such as ocean waves.
• This success has been demonstrated for the “through-flow” area of Europe, for which the lateral boundaries play a stronger role than in the more isolated area of the Artic.
Suggestion
• Same approach for the Artic• Using NCEP or ERA large scale states• Prescribed lower boundary conditions
(in particular sea ice parameters properties)
• Validate with local data and with ice cores and other proxies
• Use as forcing in sea ice, ocean, and ice shelf studies (proxy generation)
30 year mean estimated wave energy impinging on the west coast of Jutland, derived from
• WASA wave reconstruction (1955-93) and statistical extrapolation backward until 1900, and
• empirical downscaling from 200 year control global climate simulation („T42 control“) and,
• empirical downscaling from 150 year climate change global simulation („T42 transient“)
Pfizenmayer, 2002
Spectral nudging vs. standard formulation
Spectral nudging vs. standard formulation