AMY observations Jun Matsumoto At JAMSTEC Yokohama Lab., January 26, 2008.
Kakushin A1B1 Meeting - JAMSTEC
Transcript of Kakushin A1B1 Meeting - JAMSTEC
Kakushin A1B1 Meeting
26th July 2007 Julia Hargreaves, James Annan, Toru Miyama, Kaoru
Tachiiri, Shigenori Murakami,
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JUMP
• Outline of project
• Project elements
• Approximate Time Plan
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Outline of JUMP
• JUMP is Japan Uncertainty Modelling Project. Similarity to Hadley Centre’s
“QUMP” is deliberate.
• JUMP is the intersection of S5-1 and Kakushin
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JUMP Aims
• Uncertainty in the climate projections which have made and will be made in next few years. Probabilistic prediction.
• Atmosphere, Ocean, Ice sheet, Carbon Cycle (land and ocean).
• This year - development and evaluation of methods/ strategies.
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JUMP Aims in pictures!
100 year
prediction
300 year
prediction
Time
Change/Impact Change/Impact
Pro
ba
bili
ty
Pro
ba
bili
ty
High-res
AOVGCM
Low-res
AOVGCM
Best Estimate
Uncertainty
range
Present
day
Uncertainty estimation using a hierarchy of models
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S5-1: Consequences of Climate Change
• Physical system - Atmosphere-Ocean.
• Moving from Global to Regional, time-scale 30-100 years
• Results required soon for use in rest of S5-1 and No modelling allowed!
• Annan and Hargreaves, GRL 2006 indicated that IPCC model range in climate sensitivity consistent with uncertainty derived from data.
• People James, jules and PD Suneet Dwivedi to join in October
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Progress so far - S5
A single GCM:Past and
Future 30 year trends
Two different Multimodel (only 3 models) fits to past trend of the GCM
produces these forecast trends
Past trend from a single GCM (inm) Future trend from a single GCM (inm)
Weighted average forecast trend (RMSE=0.43) Simple average forecast trend (RMSE=0.42)
2m tempJ.D.Annan
Test case: Using a 3 model ensemble to predict the trend of a fourth model. The 4 models are MIROC, IPSL, HADGEM and INM.
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Traceable modelling (mostly B1)
• Methods - EnKF, Particle Filter, Emulator - James and Murakami-san
• AOGCM - Miyama-san
• Atmosphere/ocean, terrestrial carbon cycle - Tachiiri-san
• Ice sheet - no one yet
• Paleo-climate, ocean biogeochemistry - jules
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Traceable modelling MIROC3.2: atmosT42;
ocean 256x192x20MIROC3.2-LITE: atmos EMBM;
ocean 90x45x35
2m Temperature
Sea Surface Temperature
T.Miyama K.Tachiiri9
Methods
Ensemble Kalman Filter
Particle Filter Emulator
efficient maybe more expensive very cheap once created
correct in linear case copes with high nonlinearity
copes with high nonlinearity
medium difficulty to create (but we have
one! )
easy to create (and we nearly have one! )
difficult to create (and we don’t have one )
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EnKF vs. PF
Red = Correct solutionJ.D.Annan
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Atmosphere-Ocean system
• AOGCM at T42 is too computationally expensive to run ensemble to equilibrium. At least 500 years required.
• T21 AGCM+slab is possible. How do we bridge the gap, and what errors incurred by doing so?
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AOGCM work in progress• AGCM-slab ENKF tuning global average heat flux
(QFLUX) to be small
• Investigation of AGCM-AOGCM differences
[2] minus [1]
[1] Coupled Model (control)
Total Air-Sea Heat flux (W/m^2)
SLAB Ocean Model
[2] Couple Model (140 years later)
annual 1% CO2 increase
Air-sea heat flux changes in coupled model
as CO2 is increased but
remains constant in Slab model
T.Miyama
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MIROC-LITE
• New model - tune physical parameters (AO) to present day physical climatology using PF or EnKF.
• Present day “physics ensemble” potentially useful for several studies:-
✴ future, paleoclimate, ice sheet, carbon cycle
✴ Time-scale 100years +
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MIROC-LITE - work in progress
• Porting model to Altix
• Assessment of present day climate
• Using ensembles to tune model physics (soon)
Convergence of different layers in
the ocean5
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19.1
19.2
19.3
19.4
Pote
ntia
l tem
pera
ture
in d
egre
e (4
50-4
000m
)
Pote
ntia
l tem
pera
ture
in d
egre
e (0
-50m
)
0-25m
450-600m
0
1
2
3
4
18.5
18.6
18.7
18.8
18.9
0 1000 2000 3000 4000 5000
Pote
ntia
l tem
pera
ture
in d
egre
e (4
50
Pote
ntia
l tem
pera
ture
in d
egre
e (0
Year
800-1100m
1500-2000m
2500-3000m
3500-4000m
-1
0
1
2
3
4
5
6
7
8
9
18.2
18.3
18.4
18.5
18.6
18.7
18.8
18.9
19.0
19.1
19.2
0 1000 2000 3000 4000 5000
Pote
ntia
l tem
pera
ture
in d
egre
e (4
80-5
100m
)
Pote
ntia
l tem
pera
ture
in d
egre
e (0
-5m
)
Year
0-5m
480-540m
950-1070m
1970-2220m
2800-3140m
3900-4300m
4700-5100m
MIROC-LITE : 90x45xL35MIROC-LITE : 60x30xL15
K.Tachiiri
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Terrestrial Carbon cycle
• Problem with precip in EMICs - precipitation is very approximate - to what extent can we get realistic vegetation?
✴ 2-way coupling physics <-> carbon cycle
• Alternative strategy - pattern scaling of GCM runs coupled to carbon cycle model.
✴ Feedback of carbon-cycle on climate is only included through changing CO2.
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Paleo-climate
• Important for validation and crucial for providing quantification of uncertainty -> probabilistic prediction.
• Work in progress
✴ GENIE (EMIC)- combined physics and ocean biogeochemistry ensemble at LGM
✴ MIROC - is climate sensitivity the same at the LGM as today?
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LoveClim MRI
MIROCNASA/GISS
ECBILT
MOM OGCM
CCC
UVIC
CC
SM
CLIMBER
HA
DC
M3
Blue dots =Andre Paul, EGU 2007Red dots =Weber et al, CP 2007
LGM - Max. N.Atlantic. Overturning
J.C.Hargreaves
Change in AMOC between LGM
and present day is surprising uncertain in GCMS. Data
indicate that the change is small
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Time-line
Year Research Results/Papers Possible IPCC/MIROC development time-scale
2007-2008 Scoping study Methods, AOGCM-AGCM analysis, physical output of MIROC-LITE code development
2008-2009 Test casesImplementation of methods in test
cases: GENIE particle filter, tuning of MIROC-LITE to present day climate,
AGCM-AOGCM ensemble
first half; tuningsecond half: ES switched off!!!!
2009-2010 ImplementationPaleo-climate study of MIROC-LITE
ensemble, Ensemble of new version of MIROC!, carbon cycle/ ice sheet in
MIROC-LITE
scenario runs due
2010-2011
Production
Uncertainty studies with most up to date versions of the models -
production of uncertainty estimates and probabilistic predictions for IPCC
last paper deadline around end 2011 for 2013 publication?
2011-2012
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Point raised by Kawamiya-san
• Maintain awareness of TRACEABILITY!
• Transfer of information between cheaper model and more expensive model.
• This is a theme of the program, which I should have included explicitly). It is something everyone is involved in
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