Data assimilation works at Météo-France - presented by Claude Fischer material courtesy by F. Bouyssel, J.-F. Mahfouf, P. Chambon, C. Payan, V ...
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Data assimilation works at Météo-France presented by Claude Fischer material courtesy by F. Bouyssel, J.-F. Mahfouf, P. Chambon, C. Payan, V. Pourret, M. Martet, L. Berre, E. Arbogast ALADIN/HIRLAM All Staff Meeting, Madrid, 1 April 2019
Outline of my talk 1. OBS and DA progress 2. DA (technically) works at MF … Météo-France
OBS / DA progress ALADIN/HIRLAM All Staff Meeting, 1 April 2019, Madrid
Operational assimilation of radars in AROME
● Operational assimilation of French radars
(Météo France specific product) : 30 radars
● Operational implementation for systematic
monitoring of other OPERA radars: 62
radars are included in the AROME-France
domain
● Ongoing validation of OPERA radar data
assimilation
● Definition of the OPTIMAL USE of OPERA
radar data:
– comparison between raw and filtered reflectivity for the
“no rain” identification,
– use of OPERA quality index.
– use of Doppler winds only when Nyquist velocity is
higher than 30 m/s and correctly coded in the
metadata.
=> Data availability in the OPERA DB-hub is
varying ...
Use of OPERA radar data
Assimilation of OPERA radars in AROME (ongoing work)
● Validation against
operational configuration:
– RED: without other OPERA
radars
– BLACK: OPTIMAL USE of other
OPERA radars
● Statistics of departures
(Obs. assimilated):
– Better fit of analysis of relative
humidity retrievals against all
radars (French and other OPERA
radars)
– Better fit of guess of radial wind
against all radars (French and
other OPERA radars)
Ongoing research on microwave data all-sky assimilation
Development of all-sky assimilation for
passive microwave data using a 1D- First instrument to be tested
Bayesian + 4D-Var framework within the framework: SAPHIR
onboard Megha-Tropiques
Duruisseau F, Chambon P, Wattrelot E, Barreyat M, Mahfouf J‐F. Assimilating
cloudy and rainy microwave observations from SAPHIR on board Megha
Tropiques within the ARPEGE global model. Q J R Meteorol Soc 2019;1–22.
https://doi.org/10.1002/qj.3456
Impact on ARPEGE Temperature forecasts over a 4-month period
(July to October 2018)
Relative difference of RMSE on
Temperature forecasts errors in the
Tropics with respect
to ECMWF analysis significant at 99%
Up to 2%
improvement
Ongoing research on microwave data all-sky assimilation
Development of all-sky assimilation for
First instrument to be tested
passive microwave data using a 1D-
within the framework: SAPHIR
Bayesian + 4D-Var framework onboard Megha-Tropiques
Duruisseau F, Chambon P, Wattrelot E, Barreyat M, Mahfouf J‐F. Assimilating
cloudy and rainy microwave observations from SAPHIR on board Megha
Tropiques within the ARPEGE global model. Q J R Meteorol Soc 2019;1–22.
https://doi.org/10.1002/qj.3456
Since Mid-November 2018, almost no SAPHIR data are available in Near Real-Time due to
problems which are under investigation by ISRO and CNES
=> Therefore, these developments have now been adapted and work for the MHS
sounders onboard MetOp-A, B, C and NOAA-19
Monitoring and assimilation of AEOLUS HLOSW for
an operational use
●
Prepare our NWP SYSTEM to use HLOSW AEOLUS BUFR Data provided by
ECMWF.
Current pre-operational version of ARPEGE is ready to use AEOLUS data.
First monitoring and assimilation experiments are in progress.
Goal : to be ready as soon as data will be considered as valuable for our systems
●
Fill our operational database with AEOLUS data as soon as they will be available on
the GTS
●
Monitoring Data to assess their quality.
Monitoring of the first test data is in progress. Assess data according to their improvement.
Goal : assess their quality to unbiase and blacklist if necessary
●
Make assimilation experiment to assess AEOLUS HLOSW contribution and compute
forecasting scores
Once data quality will be considered good enough, assimilation and forecasting
experiments will be done to compute impacts and scores on a period long enough to be
representative
Goal : validate an operational use, second semester 2019
●
Use AEOLUS in our operational system ASAP
Goal : second semester 2019
Page 8 Météo France AEOLUS HLOSW use
Monitoring sample after quality check Page 9 Météo France AEOLUS HLOSW use
●
Increase of increment resolution
Diagnosed length-scales
●
for zonal wind, near 850
hPa,
●
at 50 km resolution (T399)
Diagnosed length-scales
●
for zonal wind, near 850
hPa,
●
at 40 km resolution (T499)
Reduction of length-scales of background error correlations
10
Small scale structures better analysed L.BerreCY43T2 (current e-suite): resolution aspects for
models, DA, EDA and EPS
New horizontal resolutions for global systems (deterministic, EDA, EPS)
– ARPEGE: ~5km over France (Tl1798c2.2L105)
– 4DVAR: 2 minimisations in Tl224c1L105 (90km) and Tl499c1L105 (40km)
– EPS: 35 members (unchanged) at ~7.5km over France (~Tl1198c2.2L90)
and four times
per day
– EDA: 50 members in Tl499c1L105 (40km) => will sample B error
correlations from 3*50 members instead of 6*25 currently (and sample
variances from the specific 50 members)
- Other scientific and technical modifications for assimilation and
observations ... in next slideCY43T2 other DA/OBS contributions
●
Tuning of sigma_b for humidity in ARPEGE-EDA
●
Variational bias correction for GNSS observations
●
Assimilation of more IASI channels over land
●
Inter-channels observation error correlation for IASI and CRIS
●
New channels assimilated for geostationnary CSR
●
Monitoring of new observations :
- GPSRO : GNOS/FY3-C, ROSA/MEGHA-T
- Microwave : AMSR2/GCOM-W1, MWRI/FY3-C, ATOVS, ATMS, MWHS-2 Flux DbNet, AMSUA et MHS on
METOP-C, ATMS on NOAA20
- Scatterometer : OSCAT sur ScatSat-1
- AMV wind : Goes-16, Goes-17, Metop-C
- Doppler winds and radar reflectivities (European radars)
●
New structure functions for T2m and H2m analysis2019 plans & beyond
■ 2019 e-suite (last e-suite before migration to new HPC if timing is early) :
― CY46T1
― Tuning of observation error stdev
― Assimilation of GNSS-RO from FY3-C, MWRI, AMSR-2
― Winds from AEOLUS, winds and radiances from GOES-16 and GOES-17
― Assimilation of NOAA-20 (CrIS and ATMS) and Metop-C (IASI, AMSU-A, MHS, ASCAT, GRAS)
data
― Assimilation of scatterometer winds from ScatSat-1, CFOSAT and possibly HY-2B
― Assimilation of « all-sky » microwave radiances from MHS (in the Tropics)
― Arome aspects :
► Monitoring and/or assimilation of OPERA radar data ; monitoring of Mode-S winds
► Coupling EDA and 3D-VAR
■ Further outlook:
― 3D-EnVar for AROME (and 4D-EnVar later, Arome & Arpège)
― Towards the use of the Aeolus L2B processor at MF
― MODE-S with VarBC
― Satellite radiances: improved all-sky mw; new satellites/instruments according to space agency
projections and data availability etc.
Page 13 IFS/Arpège coord meeting CY47DA works at MF … CY46T1, OOPS use ALADIN/HIRLAM All Staff Meeting, 1 April 2019, Madrid
Validation of CY46T1 – DA component testing
■ Tremendous effort in order to validate DA with CY46T1:
― From June 2018 through February 2019; yet, today, a full Arpège 4D-
VAR cycle has not yet been run
― Validated Arpège and Arome screening and minimization for all obs
types
― Validated CANARI with less difficulties than CY43
― Thibaut Montmerle, Philippe Chambon, Camille Birman, Patrick Moll,
Etienne Arbogast, Florian Suzat, Dominique Puech
■ DA component testing in prototype mode:
― At present, only in Etienne’s personal environment
― But used those tests during the debug stage of CY46T1
― Based on OOPS !
― Obs operator NL/TL/AD, Full-POS change of geometry, Arpège
forecast, single obs low truncation 3D-VAR (T149)
Page 15 IFS/Arpège coord meeting CY47Acabada la presentación, si hay alguna pregunta ... yo se las haré a los autores al volver a Toulouse. (gracias Daniel !) Météo-France claude.fischer@meteo.fr http://www.umr-cnrm.fr/aladin/ - ALADIN website hosted at CNRM site.
Finished the presentation, if there is any question ... I will do it to the authors when returning to Toulouse. (thank you Google !) Météo-France claude.fischer@meteo.fr http://www.umr-cnrm.fr/aladin/ - ALADIN website hosted at CNRM site.
CY43T2 scorecards
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