DATA ASSIMILATION activities @SHMU

DATA ASSIMILATION activities @SHMU

M. Derkova, M. Bellus, M. Nestiak

ALADIN/SHMU: model characteristics

ALADIN @SHMU

horizontal resolution 9.0km

spectral truncation 106 x 95

blending spectral truncation

53 x 48

number of grid points 320 x 288

vertical levels 37

operational time step 400s

coupling frequency 3h (ARPEGE LBC)

forecast length 72h (60h at 18UTC)

model version36_t1.10 (ALARO+3MT)

data assimilation frequency

6h

HPCIBM:10 p755 computing nodes (~320CPUs) + 2 p750 management nodes

ALADIN/SHMU DA: methods (1)

upper air• spectral blending by DFI (surface fields

copied from ARPEGE analysis)• operational since 19/09/2007surface• data assimilation using CANARI (NEW !)• standard setting, no special tuning • operational since 03/04/2012 (difficult

mental step)


Data assimilation scheme: 6h frequency based on long cut-off observations and ARPEGE long cut-off LBC

Production 4x/day based on short cut-off observations and short cut-off ARPEGE LBC

get_oplace_longcanari_assimblend_assim

run_assim start end

18 UTC 02:20 02:30

00 UTC 08:55 09:10

06 UTC 13:45 14:00

12 UTC 20:55 21:10

run_prod start end

00 UTC 02:55 04:00

06 UTC 09:45 10:50

12 UTC 14:35 15:35

18 UTC 21:45 22:40

get_oplace_shortcanari_prodblend_prod


ALADIN/SHMU DA: methods (4)DA step

GUESS ANALYSISSURF ANALYSISBLEND

BLENDING

GUESS

(no initialization)

6h FORECAST

ANALYSISSST

CANARIcopy of SST

NEW

BLENDING

ALADIN/SHMU DA: data (1)

• data assimilated: SYNOP 2m temperature and 2m relative humidity

• data sources: OPLACE + local database

• SST copied from ARPEGE analysis

• data processing: upgraded obsoul_merge script solves problem of corrupted OPLACE files

OK

PB!

New obsoul_merge script offers full control of observations: it reads the records and their headers one-by-one and checks many things. Duplicated records, records with wrong date or wrong observation type are excluded, lat/lon discrepancy of duplicated records is checked and so on.

courtesy of M. Bellus, available upon request

ALADIN/SHMU DA: data (3)

MERGING OBSOULS:

=> READING FILE (0): /data/nwp/products/oplace_long/2012-03-03/obsoul_1_xxxxxx_xx_2012030306 NT(orig): 06 NT(conv): 060000

=> READING FILE (1): /data/nwp/products/oplace_long/2012-03-03/obsoul_5_xxxxxx_xx_2012030306 NT(orig): 06 NT(conv): 060000

=> READING FILE (2): /data/nwp/products/obsoul/2012-03-03/obsoul_1_xxxxxx_xx_2012030306 NT(orig): 6 NT(conv): 060000

DATA PROCESSING:

record number: 1 total data: 42 station ID: 13704

record number: 2 total data: 37 station ID: HU12805

record number: 3 total data: 42 station ID: 12812...

ALADIN/SHMU DA: data (4)listing with detailed debug info

... record number: 3090 total data: 732 station ID: 01415 (!) 01415 => has wrong observation date/time... record number: 3205 total data: 37 station ID: 17601 (!) 17601 => duplicated observation...record number: 4583 total data: 32 station ID: 02095 (!) 02095 => has wrong lat/lon (saved:0.67/0.23 record:0.56/0.16) (file:20120303-060000 record:-533133308--5330800)

MERGING OBSOULS:

=> READING FILE (0): /data/nwp/products/oplace_long/2012-03-03/obsoul_1_xxxxxx_xx_2012030306

=> READING FILE (1): /data/nwp/products/oplace_long/2012-03-03/obsoul_5_xxxxxx_xx_2012030306

=> READING FILE (2): /data/nwp/products/obsoul/2012-03-03/obsoul_1_xxxxxx_xx_2012030306

=> TOTAL RECORDS WRITTEN: 5349

(!) Number of skipped records due to inconsistent date/time: 104(!) Number of skipped records due to inconsistent lat/lon: 82(!) Number of skipped records due to duplicity: 2389

=> FINISHED IN: 1 secs

ALADIN/SHMU DA: data (5)listing final info

ALADIN/SHMU DA: validation (1)

• 6months of e-suite (01/08/2011-30/01/2012)• reference = operational forecast (DFIblending)

– veral– point verification– special diagnostics

CANARI

OPER

2mT analysis, 00UTC


BIAS (left) and STDEV (right) of 2m temperature of the guess (blue) and of the CANARI analysis (red) computed over whole domain for few randomly selected days.

ALADIN/SHMU DA: validation (3)“basic school” example

2mT analysis scores: top: over SK (OK), bottom: over whole domain (pb!)

OPE

RCA

NAR

I

ALADIN/SHMU DA: validation (4)What happens if SST is not correctly treated? Diff between CANARIanalysis and ARPEGE(?) analysis with SST cycled (left) and copied (right)


2mT analysis scores over whole domain after correction

OPERCANARI cycled SSTCANARI copied SST

Generally there was positive impact found on the analysis and subsequent forecasts; on the surface and also in lower levels; namely for temperature and humidity. The impact is more pronounced in summer period.

Worsening of the daytime scores (in the summer): a problem in the forecasts for 12 and 18h day time, for any starting analysis time and any forecast length.

A cold temperature BIAS (winter).



2mT analysis 00UTC

CAN

ARI

OPE

R

2mT analysis 12UTC

OPE

RO

PER

OPE

RCA

NAR

IO

PER

CAN

ARI

OPE

RCA

NAR

I


2mT +72h forecast

1000hPa T +12h forecast

OPE

RCA

NAR

IO

PER

CAN

ARI


2mT +24h forecast from 12UTC

2mT +36h forecast from 00UTC

OPE

RCA

NAR

I


2mRH RMSE +24h forecast from 12UTC

OPER CANARI2mRH RMSE +36h forecast from 00UTC


OPER CANARI

ALADIN/SHMU DA: validation (12)2mT RMSE diurnal cycle (summer?) pb

00UTC

12UTC

CANARI

OPER


difference of surface soil wetness in analyses between operational and parallel run

ALADIN/SHMU DA: validation (14)cold 2mT BIAS (winter?) pb

negative temperature BIAS in general for whole integration period near surfacethe temperature BIAS is negative mainly in winter season, but the fact, that it is generally worse for forecasts based on CANARI analyses comes from the warmer part of the testing period

01/08/2011-30/01/2012 01/08/2011-31/10/2011 1/11/2011-30/01/2012

OPER CANARI

RADAR assim in AROME/HU (1)

Technical development for 3D-VAR assimilation of radial Doppler winds (using 3 HU radars). Preliminary results - analysis increments of U wind component for 3 model levels are shown.


EXP0426 → 1117c32160c13ae8730c2746b97b30b350ab BUD_20110426_0000.bufr


EXP0426 → 1123_BU1117C32160c13ae8730c2746b97b30b350ab BUD_20110426_0000.bufr (12843)0a50b249103e46d11ae77022081e7bd2 NAP_20110426_0000.bufr (12892)7044d9c633ced3c72943c8ccb43a6d98 POG_20110426_0000.bufr (12921)

ALADIN/SHMU DA: plans

• Solve 2m T forecast problems• Increase the horizontal/vertical resolution • Test coupling with ECMWF (MF new schedule)• 3DVAR/ALADIN installation – check basic

impact• (optionally) 3VAR/AROME installation – to

continue with radar DA

DATA ASSIMILATION activities @SHMU

Documents

Transcript of DATA ASSIMILATION activities @SHMU