DEVELOPMENT OF 1- 4KM RESOLUTION DATA ASSIMILATION FOR NOWCASTING AT THE MET OFFICE
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Transcript of DEVELOPMENT OF 1- 4KM RESOLUTION DATA ASSIMILATION FOR NOWCASTING AT THE MET OFFICE
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DEVELOPMENT OF 1- 4KM RESOLUTION DATA ASSIMILATION
FOR NOWCASTING AT THE MET OFFICE
Sue Ballard, September 2005
Z. Li, M. Dixon, S.Swarbrick, O.Stiller and H. Lean
Met Office, JCMM, Reading University
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Contents
Aim of high resolution convective scale system4km UK 2005, 1km ~ 2008-2010
Trial system – small domains
Data assimilation options
Trial results Impact of data assimilation Impact of relative humidity and latent heat nudgingScale selective assimilation
Conclusions
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High Resolution Trial Model
1 km76 levelsResolved convection
4 km38 levelsMass-limited convection
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Current HRTM Assimilation Options
12 km 3D-Var Data Assimilation With or without moisture and Latent Heat Nudging (LHN)
using AC scheme (referred to as MOPS data – moisture observation processing system)
i.e. spin up 4km, 1km from 12km T+1 each cycle.
4km 3D-VAR with continuous cycles with or without MOPS 1km with nudged reconfigured 4km increments using IAUWith or without LHN and moisture nudging using AC scheme
IAU – increments output from 3D-Var and fixed over time window
AC scheme – increments depend on latest model fields so vary with timestep through weighting factor and model evolution/impact of data
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T-3 T-1 T+0 T+1 T+3
AC scheme/UM3D cloud fractionSurface rainrate
IAU3 hour f/c: background Hourly ModelOb
Next analysisPrevious analysisNudging RH & Latent heat
T+2T-2
Conventionalobservations
3D-Var (FGAT)
Obs window
3D-Var system including MOPS RH and LH nudging via AC scheme
6hr accumulations from13Z to 19Z 16/8/04 from 12UTC analysis
Rain rates at 14.30 UTC from 12UTC analysis
With 4km 3D-Var +MOPS radarSpun-up from 12km T+1
Accumulated precipitation19-20UTC 27th April 2004From 18UTC analysis
radar
With MOPS
No MOPS
Impact of MOPS data
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Spin - up Assimilation12 and 4km withMOPS
Assimilation12 and 4kmNo MOPS
1km domain averageRainrate15UTC13th May 1003
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Domain average rain rates
4 Cases x 8 cycles summer 20031km no MOPS
Black – radar Blue 12 km Green – 4km Orange -1km Dashed – spinup
7 Cases x 4 cycles summer 2004Prognostic rain (1 and 4km)Increased wt MOPS (12,4,1km)
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Domain average rain rates
4 Cases x 8 cycles summer 2003Prognostic rain (1 and 4km)Increased wt MOPS (12,4,1km)
7 Cases x 4 cycles summer 2004Prognostic rain (1 and 4km)Increased wt MOPS (12,4,1km)
Black – radar Blue 12 km Green – 4km Orange -1km Dashed – spinup
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T+2 Forecast precipitation rate for 20UTC 27April 2004
WaterLoading+ReducedMOPS wts
12km 4km 1km radar
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T+4 Forecast precipitation rate for 22UTC 27April 2004
12km 4km 1km radar
WaterLoading+ReducedMOPS wts
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Statistics for 4 cycles of assimilation and forecast data time9,12,15,18UTC 27 April 2004
Area averagePrecipitation rateFor radar area
Skill score for radar area for accumulation greater than 2mm against sampling radius
Orange dashed4km
Orange 4kmWater loadingReduced MOPS wt
Blue 12km
Black radar
Orange 4kmblue12km
Orange 4kmWater loadingReduced wt MOPSblue 12km
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theta inc
12km analysis
“new” 4km analysis
/12km back
“new” 4km analysis
/4km back & half length
standard 4km analysis doesn’t see obs outside domain
Zero at boundary
4km short wave analysis 12km long waves
Problem of small domain Scale selective analysis
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Impact of S-band radar radial wind datav-component of velocity at 410m
12km analysis 4kmstandard
Scale selectiveRadar dataIn 12km and 4km
ScaleSelectiveRadar in 4km only
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Conclusions
Need 1-4km to capture small scale severe events Need DA to overcome spin-up of explicit convection
However long range forecasts can be better than short range MOPS RH & LHN improves locations but amounts too high
At 1-4km and worse with prognostic rain Needs further development but ideally want to use assimilation of
cloud and precipitation in 3D-Var and 4D-Var Model explicit convection overdoes rates (?) Need to combine synoptic scale and convective analysis Need to move towards full analysis for 1km model
Ideally want 4D-Var or EnKF - Start with 3D-Var need to resolve problems seen with 4km first Use reduced vertical resolution (and horizontal?) for analysis? High resolution data Balance and background errors
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Questions & Answers