impact of the 4d-var regional analysis system on the new canadian rdps system
DESCRIPTION
Impact of the 4D-Var Regional Analysis System on the new Canadian RDPS System. Luc Fillion 1 Monique Tanguay 1 , Ervig Lapalme 1 , Mateusz Reszka 2 , Judy St-James 2 , Manon Lajoie 2 , Bin He 1 , Stephen Macpherson 1 , Paul Vaillancourt 1 , Alain Patoine 2 , C é cilien Charette 1 - PowerPoint PPT PresentationTRANSCRIPT
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Impact of the 4D-Var Regional Analysis System on the new Canadian RDPS System Luc Fillion1
Monique Tanguay1, Ervig Lapalme1, Mateusz Reszka2 , Judy St-James2 , Manon Lajoie2, Bin He1, Stephen Macpherson1, Paul Vaillancourt1 , Alain Patoine2, Cécilien Charette1
46th CMOS Congress26th Conference on Weather & Forecasting21st Conference on NWP
DAII: Data Assimilation SystemsSession 1E1Hyatt Regency Hotel, 1255 rue Jeanne Mance, Montréal, Qc, CAN. H5B1E5Grand Salon B Tuesday, 29th May 2012, 17h-17h15.
1 Meteorological Research Division2 Canadian Meteorological Center (Development)
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NL-Low/TL/AD 100-km grid (141x141)NL-High 15-km grid (649x672)NL-High 10-km grid (996x1028)
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REG-4D : 18 min/ 45 it = 24 sec/it Topologie = 2x(8x8x16)=2048
210 s 358 s289 s 281 s
Reduction 20%
GEM TL MPI
Prof1TL
ProfiTL
ProfNTL
3D-VarMPI
dxTL3D-Var MPI
Prof1AD
ProfiAD
ProfNAD
GEM AD MPI
dxAD
GEM TL MPI
3D-VarMPI
dxTL
3D-Var MPI
GEM AD MPI dxAD
ProfiTL Prof1
TL ProfNTL
Prof1AD
ProfiAD
ProfNAD
289 s 281 s 358 s
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• Same observations assimilated as in the operational 3D-Var
• 15 min binning (45 min for the operational)
• 45 iterations (1 Loop)
4D-Var configuration
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Number of Assimilated Observations
3D (like ops) 4D (10km final)
amsua 31131 127078 (+308%)
amsub 5252 10846 (+107%)
aircraft 10152 35669 (+251%)
goes 1257 4976 (+296%)
pr 686 4102 (+498%)
sfc 4774 4712
sw 2924 6156 (+111%)
ua 13836 13600
airs 30628 32438 (+6%)
ssmis 1490 1451
sc 2202 2712 (+23%)
gps-ro 2798 2739
iasi 8317 9931 (+19%)
Total 115447 256410 (+122%)
3D (like ops) 4D (10km final)
amsua 31360 92486 (+195%)
amsub 6986 12866 (+84%)
aircraft 13554 65981 (+387%)
goes 921 3858 (+319%)
pr 596 3618 (+507%)
sfc 5051 4984
sw 4126 9548 (+131%)
ua 13208 13071
airs 12394 14120 (+14%)
ssmis 2129 2065
sc 2630 2728 (+4%)
gps-ro 4065 4032
iasi 14232 17974 (+26%)
Total 111252 247331 (+122%)
2011012012 2011051700
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48-h DIFF RMSE (m)GZ-250 hPa
Summer-2011
Blue: 33 km Driver is better
Verifications against G2 4D-Var Analyses
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48-h DIFF RMSE (m)GZ-500 hPa
Summer-2011
Blue: 33 km Driver is better
Verifications against G2 4D-Var Analyses
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WINTER-2011 40 cases48h ForecastNA+
15 km
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WINTER-2011 40 cases48h ForecastARCTIC
15 km
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WINTER-2011 40 cases48h ForecastCANADA
15 km
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SUMMER-2011 40 cases48h ForecastNA+
15 km
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SUMMER-2011 40 cases24h Forecast/CANADA
15 km
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SUMMER-2011 40 cases36h Forecast/CANADA
15 km
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SUMMER-2011 40 cases48h Forecast/CANADA
15 km
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48-h DIFF RMSE (m)GZ-500 hPa
Summer-2011
Blue: 4D-Var is better
Verifications against G2 4D-Var Analyses
15 km
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48-h DIFF RMSE (m)GZ-250 hPa
Summer-2011
Blue: 4D-Var is better
Verifications against G2 4D-Var Analyses
15 km
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48-h DIFF RMSE (m)GZ-500 hPa
Winter-2011
Blue: 4D-Var is better
Verifications against G2 4D-Var Analyses
15 km
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Summary and Conclusions
4D-Var component of RDPS_3.0.0:
– Clear improvements in UA scores for both seasons in most of troposphere (Major improvements over Canada and the Arctic)
– Optimized 4D-Var still can sustain significant increase in Nb. of Observations assimilated without affecting execution time
– Don’t Miss Alain Patoine’s talk on RDPS-10km/4D-Var
Wednesday 30th May 14h15, Session 2C3
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REG-4D-GLB 100 km, 400x200
REG-4D-LAM100 km, 104x104
REG-4D-LAM 100 km, 138x138
T= - 3 hr T= 3 hr
Cœur TL
Frontière NL