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Météo-France status
Operational changes since
the 22th North America /
Europe Data Exchange
meeting and short term
plans
Jean-François MAHFOUF
(and many colleagues)
2
Outline
1. Computing platform
2. Model configurations
3. Use of observations
4. Recent operational changes
5. Ongoing developments and future plans
3
Computing platform
Two identical clusters :o Kumo : operationso Yuki : research (operations if
Kumo fails)Each cluster :
o 10 nodeso 16.3 Tflops maxo Interconnected using a
crossbar network (IXS)o 58 Tbytes of scratch (Global
File System)On each node :
o 16 processorso 1 Tbyte of memoryo 2 Tbytes of local disks
Scalar front-end TX7 : 16 Intel Itanium2 cores with 32 Gb memory
Operational configuration
NEC SX9 (Q4 2009)
4
Model configurations
5
Global model ARPEGE (1)
] Spectral model with variable resolution : TL798C2.4L70
o Resolution from 10 km to 60 km, 70 levels from 17m to 0.05 hPao 16 processors for ARPEGE forecast (7’ for 24h forecast)
Forecast ranges [cut-offs] :
FC+102 (00 UTC) [2h15], FC+72 (06 UTC) [3h], FC+84 (12 UTC) [1h50], FC+60 (18 UTC) [3h]
6
Global model ARPEGE (2)
4D-Var assimilation (6h window) :
o 2 loops of minimization : T107C1L70 (25 iterations) + T323C1L70 (25 iterations) – 2nd inner loop with simplified physics (including large scale condensation)
o Variational bias correction scheme since 2008
o Background error variances from an Ensemble Data Assimilation system (4D-Var at lower resolution) since 2008
o 32 processors for assimilation (32’ between cut-off and P0)
Data used :
o SYNOP, SHIP, BUOY, AIREP, AMDAR, ACARS, TEMP, PILOT
o AMV GOES + Meteosat + MTSAT-1R, MODIS (Terra, Aqua), AVHRR/NOAA
o HIRS, AMSU-A, AMSU-B/MHS, NOAA 15, 16, 17, 18, 19 and Aqua
o SSM/IS DMSP F16, 17, 18, AIRS/AQUA, IASI/MetOp, GPS-RO, GPS-ZTD
o Sea surface winds from ASCAT (and ERS2)
o Meteosat CSR
o SST from OSTIA + LST from ½° NCEP + SSM/I F15 for sea-ice mask
7
Evolution of the number of observations in ARPEGE
SCATATOVS
IASI
SEVIRI
SSMI
AIRS
GPS-ROGPS-RO
SEVIRI
AIRS
2002 20062004 2007 2008 2010
8
Information content of observations
9
Summary of ATOVS radiance usage
Satellite HIRS AMSU-A AMSU-B/MHS AIRS/IASI
NOAA15
NOAA16
NOAA17
NOAA18
NOAA19
AQUA
MetOp
: not relevant
: not available
: received but blacklisted
: used
10
Regional model ALADIN
Spectral limited area model : E199x199L70 70 levels from 17m to 0.05 hPa, horizontal resolution 7.5 km
3D-Var assimilation (6h window) : Same data as ARPEGE plus SEVIRI radiances (5 channels over 12)
Current operational domains :
Antilles-Guyana pre-operational
Aladin France
French Polynesia pre-operational
New-Caledonia pre-operational
Aladin La Réunion since 2006
Forecast ranges and cut-offs:
FC+54 (00 UTC) [2h15], FC+48 (06 UTC) [3h], FC+42 (12 UTC) [1h50], FC+36 (18 UTC) [3h]
11
Regional model AROME
Spectral limited area non-hydrostatic model : E359x374L60
o 60 levels from 17m to 0.05 hPa, horizontal resolution 2.5 km
3D-Var assimilation (3h window) :
o Same data as ALADIN plus radar radial winds and reflectivities
Coupling files : hourly ARPEGE forecasts
Forecast ranges and cut-offs :
FC+30 (00 UTC) [1h30], FC+30 (06 UTC) [3h30],
FC+30 (12 UTC) [3h30], FC+30 (18 UTC) [3h30]
12
Additional assimilation and forecasting suites
1. Operational suites for atmospheric models Global stretched with very short cut off [1h10] with 3DVar FGAT (at 00UTC only)
Short-range ensemble prediction system with ARPEGE (TL538C2.4L65) : 35 members. Initial perturbations : singular vectors + EnDA – Model perturbations : random use of 10 different physical packages
Limited area model ALADIN : several research, commercial and transportable dynamical adaptation versions
2. Chemical transport model MOCAGE : air quality forecasts up to 96 h 3 domains : Global – Europe – France with horizontal resolutions of 4°, 0.5°, and
0.1°
Satellite observations currently used only for validation3. Ocean wave model : forecasts up to 102 h
Global, Tropics, Europe, France with horizontal resolutions of 1°, 1°, 0.25°, 0.1°
Assimilation of JASON and ENVISAT altimeter wave height data
13
News on upper-air observations (in 2009)
22 RS
14
News on upper air observations (in 2011)
19 RS
15
Recent operational changes
16
April 2010
Increase in model resolutions : • 15 km -> 10 km for ARPEGE; • 9.5 km -> 7.5 km for ALADIN; • 60 -> 70 levels for ARPEGE/ALADIN; • 41 -> 60 levels for AROME
Increased usage of all satellite observations :o Thinning from 250 to 125 km => 3.5 more data assimilatedo ATOVS data from NOAA 19o Assimilation of low peaking channels from AMSU-B over continents (2)o Assimilation of upper tropospheric wv channels from IASI (9)
Assimilation of radar reflectivities (French network ARAMIS) in AROME
Revised Ensemble Data Assimilation : o 4D-Var instead of 3D-Var FGAT o Use of background error variances for unbalanced temperature, surface
pressure and divergence on top of vorticity.
17
Pre-selection: Only data from detector #1
Pattern depending on scanline
Geographical thinning: 1 prof. / 125km
IASI pixel and channel selection
9 WV
LW - T68 over sea50 over land
channels
18
Thanks to a new surface emissivity model
Example: AMSU-B (atmospheric humidity sounding): only 2 of 5 channels assimilated over land surfaces
Microwave sounding channels from AMSU-B
19
Thanks to a new surface emissivity model
Example: AMSU-B (atmospheric humidity sounding): only 2 of 5 channels assimilated over land surfaces
Microwave sounding channels from AMSU-B
20
November 2010 [1]
Thinning of satellite observations from 125 to 80 km for AROME Assimilation of window channels from SSM/IS F16 and F17 Assimilation of GPS-RO from GRAS-MetOp + for all GPS-RO use
of data between 25 – 36 km Assimilation of low level channels from AMSU-A and AMSU-B
over sea-ice (revised sea-ice emissivity model) Assimilation of more IASI channels and more AVHRR AMVs over
polar regions Improved algorithm for the choice of 2 ambiguous ASCAT winds
among 4
21
CTL EXP
Usage of AMSU-B channels (ch 5: 183.31 7.0 GHz) in ARPEGE
a)a) Assimilation of observations over sea-iceAssimilation of observations over sea-iceOperational since Nov 2010Operational since Nov 2010
Microwave sounding channels from AMSU
22
ScoresScores: Positive in particular over NH: Positive in particular over NH
Wind scores against radiosoundings (one month, January 2009)Wind scores against radiosoundings (one month, January 2009)
Fit to observationsFit to observations: neutral or improvement (temp, profilers, …) : neutral or improvement (temp, profilers, …) Increase about 30% of assimilated AMSU data (sea-ice)Increase about 30% of assimilated AMSU data (sea-ice)
a)a) Assimilation of observations over sea-iceAssimilation of observations over sea-iceOperational since Nov 2010Operational since Nov 2010
Microwave sounding channels from AMSU
23
November 2010 [2]
Increase in AROME domain size (by a factor 1.8) with dedicated
surface analysis OI SST analysis with OSTIA for climatological relaxation Assimilation of SYNOP relative humidity in ARPEGE (daytime
only) Improved procedure for updating anemometer heights on SHIPs
(E-SURFMAR database) EnDA : background error variances for specific humidity + use for
background check Humidity bias correction for RS data following ECMWF Use of saturation pressure formula w.r.t. to water for TEMP
24
Forecast scores : rms Z 500 at 72 hours (00 UTC)
Europe
Northern Hemisphere
25
Current operational changes
E-suite 2011
Inclusion of ATOVS/RARS data from Asia/Pacific + Miami and La
Réunion HRPT stations from EARS
Inclusion of window channels from SSM/IS F18
Inclusion of model error in EnDA
Use of SURFEX (new vegetation/soil climatology + improved ISBA
scheme) in ALADIN/France model
Monitoring of SCAT surface winds from Oceansat2
26
Assimilation of SSM/IS radiances (current e-suite)
00 UTC
12 UTC
27
ARPEGE with very short cut-off (1h10)
AMSU-A from
Exeter (30 %)
EARS AMSU-A
(+ 3 %)
RARS AMSU-A
(+20 %)
Long cut-off
28
Future plans
Preparation of future satellite missionsIncrease (and better) usage of observations currently available
Megha-tropiques : MADRAS + SAPHIR (launch ~ end 2011) NPP : CrIS + ATMS (launch ~ end 2011) IASI on MetOp-B Increase usage of IASI radiances at mesoscale – horizontal error/channel
correlations – improved observation operator Increase usage of IR radiances over land : SEVIRI (S. Guedj thesis) +
IASI (A. Vincensini thesis) Use of IASI cloudy radiances (P. Martinet thesis) ASCAT soil moisture (received operationally since Feb 2011) Preparation of IRS on MTG (Eumetsat fellow) Preparation of wind lidar mission (ESA ADM-Aeolus) GPS data from E-GVAP (Eumetnet) Radar data from OPERA (Eumetnet)
31
Observation usage summary
Datatype Contact Operations Tests
ATOVS [email protected]
N15,16,17,18,19,Aqua Metop
AP-RARS
SSM/IS [email protected]
F16, F17 F18
Geosat. winds [email protected]
GOES, Meteosat, MTSAT
Polar winds [email protected]
AVHRR/NOAAMODIS/Aqua, Terra
AVHRR/Metop
Scatterometer [email protected]
ASCAT OSCAT
Geosat radiances [email protected]
Meteosat GOES, MTSAT
@meteo.fr
ZTDRO
More stationsTerraSar-X/
SAC-CAIRS/IASI vincent.guidard
@meteo.frAqua, Metop More channels
Thank you foryour attention