1. The second AROME-WMED reanalysis of SOP1
N. Fourrié, M. Nuret, P. Brousseau, A. Doerenbecher, H. Bénichou, P. Moll, O. Bock, F. Saïd and E. Wattrelot
CNRM-GAME, Météo-France and CNRS
IGN LA
Outline:
Introduction
Characteristics of AROME WMED reanalysis
Data assimilation: background error
observations
Conclusions and perspectives

2. 9th HyMeX Workshop, Mykonos, Greece
Introduction
AROME-WMED model (west mediterranean) developped for the real-time analyses and forecasts during the SOPs of HyMeX and delivered to the Hymex Operational Centre each day a 48-hour forecast (Fourrié et al, 2015, GMD).
Based on the operational AROME-FRANCE model, horiz. resolution 2.5 km, 60 vertical levels from 10m to 1 hPa, time step 60s
Domain: 34°N -9°W/ 48°N-20°E Lateral boundary conditions provided by the French global model ARPEGE
3D-Var, 3h assimilation window
Pronostic variables: T,q, vort,div, Ps in the analyses, vert div, pressure departure from hydrostatism, turbulent kinetic energy, Ql,Qi,Qr,Qs,Qg
AROME-WMED
sea=47%, land=53%(nx:960,ny:640)
9th HyMeX Workshop, Mykonos, Greece

3. First AROME-WMED reanalysis
Period: SOP1 (05/09/2012  05/11/2013) = 2 months
Forecast range: +54hr range (+48 h for real-time)
Unique software version
Run on the previous NEC supercomputer
Observations new-extraction (cut-off) implies more data available (i. e. Synop: +2%)
Coupling: ARPEGE « long » cut-off (instead of ARPEGE « short » version  more observations in the coupling flux)
Assimilation of some experimental mobile soundings not assimilated in real-time (not assimilated before 10/10 in « oper ») Radiosonde: +4%
Activation of several wind profilers +64%
Boundary Layer Pressurized balloons , humidity data (Q) assimilated, (wind and T already used in « oper ») ~ 400 observations (Hu)
Overall ~ neutral impact in the forecast quality
Available in the HyMeX database
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4. Why a second reanalysis of SOP1 with AROME-WMED?
More observations of the campaign assimilated
New cycle on the Bull computer, with improved orography, coupling files with more assimilated observations.
New background error were re-computed on one SOP1 period with heavy precipitations (15 days October 2012 from 17 to 31) based on first reanalysis (P. Brousseau et al 2011) => 180 members
Weight given to the observation
Error in humidity larger in low-level
Temperature error a bit larger in
the troposphere
Errors in divergence and vorticity
Closer to the ones of AROME-France
Test of this configuration over SOP1
period
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5. Impact of these modifications on the forecast
12h forecast error
wrt radiosondes
2 month period T RH
Slight improvement of short term forecast, in temperature, relative humidity and 6h accumulated rain rate.
RMSE
AWMED prereana2
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Bias
AWMED SOP1

6. Second reanalysis: observation aspects
Reprocessed observations and new data type in the data assimilation
reprocessed GPS
reprocessed wind profilers
high resolution radiosounding (France, Spain, mobile HyMeX RS,KIT, L’Aquilla, Biscarosse)
dropsondes F20
SST observations : additional observations used in the SST analysis
research aircraft measurements (F20, ATR, Dornier)
surface stations (Candillargues, …)
ground-based Lidar (BASIL,Candillargues, Di Girolamo et al 2015, WALI, Menorca, Chazette et al, 2015) + airborne LEANDRE (Flamant)
Spanish radars
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7. 9th HyMeX Workshop, Mykonos, Greece
Reprocessed GPS
Data reprocessing of GPS data by IGN
=> consistent processing for all data,
+ data (Bock et al., 2015, QJRMS)
GPS mobile from Marfret-Niolon
Cruise of Marfret-Niolon
GPS « oper » et « reana_1 » GPS « repro » (reana_2)
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8. Reprocessed observations: Wind PROFILER
Reprocessed profiler data (F. Saïd, LA): data quality check has been revised.
Pierrelatte/Clermont Ferrand/Lannemezan/Candillargues/Marignane/Perpignan/
Levant/Pianottoli
Statistics for wind
Reprocessed PROFILER vs operational PROFILER
Improved comparisons with reprocessed observations
(no data assimilation here) U V
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9. Additional observations: radiosondes
high resolution thinning (100 to 150 points vs ~30 points for TEMP messages)
L’Aquilla (Italy), Biscarosse (French army)
(Obs-model) comparison (Wind)
HR RS vs RS U
Blue: operational network /
Orange: HyMeX research mobile radiosounding (CNRM)
Red: HyMeX research radiosounding (KIT) /
xx: additional DTS soundings V
Wind OKsol?
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10. Réanalyse_2 : observations / RS
Statistics for temperature and humidity
HR TEMP vs TEMP T
T and HU OKsol? HU
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Spanish radars
Data provided by AEMET.
Test of data assimilation from 6 spanish radars over the SOP1 period.
Data quality control adapted
Increase of the threshold detection used in the data assimilation: loss of precipitation but higher quality
Verification area with dense network over France
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12. Concluding remarks and further developments
Second reanalysis in progress.
New background error matrix and more accurate orography.
Currently test of experimental observations assimilation (reprocessed GPS).
Promissing results but should be confirmed with the HyMeX data.
Evaluation of the forAvailability in HyMeX database by the end of 2015.
ecast quality (with HyMeX data, raingauges, RS and GPS) and with case studies.
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13. Thank you for your attention!
9th HyMeX Workshop, Mykonos, Greece