Mesoscale Tiger Team -...
Transcript of Mesoscale Tiger Team -...
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…. though trend depends on measure
T+18-T+24 rainfall accumulationETS Benefit odds ratio skill score
0.2mm/6h1 mm/6h4 mm/6h
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Sub-projects
short-period precipitation forecast
convective precipitation forecast quality
quality control of input cloud data
analysis bias and spin-up in cloud cover
instability, initialisation and lateral boundary updating
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Instability, initialisation &lateral boundary updating
occasional failures in convection over France– two sweeps convection per timestep
occasional failures in tropics– set orography > 0 for inland lakes
noise in pmsl– increased boundary rim width from 4 ->8 points
– dynamics solver settings tuned for better convergence
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Short-period precipitation forecast
Mes New Dynamics trial verification
Dec ‘01 -Mar ‘02
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Short-period precipitation forecast -2
Mes ND trial verification
Frequency bias for
hourly totals > 0.17mm
(v Nimrod radar)
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Short-period precipitation forecast -4
Mes Autumn ‘02 upgrade– new covariances
– weaker nudging of cloud data
24 forecasts
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Short-period precipitation forecast -5
examine sensitivity to other components of assimilation
– radar
– sonde rh
– IAU initialisation….
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Convective precipitation forecast quality
“CMODS” changes– new convective momentum transport
– new definition & triggering of shallow, mid-level/deep convection
Progress– 8 test cases run
– slightly better moderate/heavy accumulations
– aim for spring ‘03 change
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Quality control of input cloud data -3CTH assignment - “low level inversion change”
New logicOld logic
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Quality control of input cloud data -4
“Low level inversion change” implemented, July ‘02
further spurious rain cases reported post ND implementation, August ‘02
further CTH changes under test, autumn ‘02
meeting on short-term way forward, Dec ‘02
workshop on strategy for cloud (and ppn) assimilation to follow
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Analysis bias and spin-up in cloud cover
Mes New Dynamics trial verification
Jan/Feb ‘02
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Analysis bias and spin-up in cloud cover -2
Weaker nudging to cloud data
12 cases
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Analysis bias and spin-up in cloud cover -3
Assimilate cloud data within 3d-Var(instead of nudging) by spring ‘03
AMSU-B data in Mes
compare verification– v satellite imagery
– v surface stations