cosmo priority project corso “ c onsolidation of o peration and r esearch results for the s ochi o...
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General Meeting 2011
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22 km
Гидрометеорологический центр Российской Федерации3
KRASNAYA POLYANA
General Meeting 2011
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PP CORSOPP CORSO
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Rome, 2011 Rome, 2011
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17 staff members COSMO-RU: 11 - PhD, 4 - postgraduates, 2 - graduates MSU
1. Technol. Line : D.Blinov, G.Rivin, I. Rozinkina;
2. Snow : E.Kazakova, I. Rozinkina ;
3. T2m : G.Rivin, I. Rozinkina, E.Sapuntsova;
4. Boundary layer: M.Chumakov, V.Perov;
5. VERSUS-2 : A.Bundel, A.Muravev;
6. h <= 2.2 km : D.Blinov, G.Rivin;
7. Ensembles : D.Alferov, E.Astakhova, G.Rivin;
8. Data Assim. : V.Gorin, M.Tsyrulnykov;
9.ART : A.Kirsanov, A.Revokatova, G.Surkova.
10.Mires : A.Yurova
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SYSTEM COSMO-RUSYSTEM COSMO-RU
GME x = 30/20 km
COSMO-RU7 x = 7 km
COSMO-RU2 x =2.2 km Domain: 900 km * 1000 km Grid: 420*470 * 50 Step: 2.2 кмTime step: 15 секForecast: 24 час.Cores: 400
Grid: 368 642 * 60 Step: 30 / 20 кмTime step: 110 секForecast: 7 суток
Гидрометеорологический центр Российской Федерации
COSMO-RUsib x =14 km
GME: initial and boundary data
Domain: 4900 km * 4340 km Grid: 700*620 * 40 Step: 7 кмTime step: 40 секForecast: 78 час.Cores: 800
Domain: 5000 km * 3500 km Grid: 360*250 * 40 Step: 14 кмTime step: 80 секForecast: 78 час.Cores: 48.
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April 13, 2011
Roshydromet decided to implement the system of mesoscale weather prediction COSMO-RU in operational practice as a base for use in Hydrometeorological Centre of Russia and
other Roshydromet prognostic offices.
Гидрометеорологический центр Российской Федерации7
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COSMO-RU07: domain, time of run with MPI
Гидрометеорологический центр Российской Федерации8
Initial and boundary data: 00, 06, 12 and 18 UTC, GME (DWD)Forecast: 78 h (00,12 UTC)
48 h (06,18 UTC)
Grid step 7 km Grid: 700 * 620 * 40
SGI Altix 4700 (1664 cores) (832 processors Itanium, 64-bit, 3,3 Tb memory)
Run time for 78 h.
19 min: 1024 cores 33 min: 512 cores 59 min: 256 cores
4340 km
4900 km
Гидрометеорологический центр Российской Федерации
COSMO-RU02: domain, time of run with MPI
h = 2.2 km
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Initial and boundary data: 00,06,12 and 18 UTC, GME (DWD)Forecast: 24 h
Grid step 2.2 km Grid: 420 * 470 * 50 (Moscow) 420 * 470 * 50 (Sochi) SGI Altix 4700 (1664 cores) (832 processors Itanium 2, 64-bit, 3,3 Tb memory)
Run time for 24 h.
27 min: 400 cores
h = 2.2 km
Moscow
Sochi
COSMO-RU products,
00 / 12 UTC):
Maps: more 900Meteograms: near 400,
GRIB1 datasets– more 300 files,data on the databases of HMC of
Russia 10
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Т2мTd2мТ850Т700Т500
PRESSURE
PRECIPITATION
CONVECTIVE CLOUDNESS
10 000 м8 000 м6 000 м4 000 м2 000 м
0 м
CLOUDSNESS
мм/3часамм/час
25.12 26 december 27 december 28.12.2010
Гидрометеорологический центр Российской Федерации
DAY and HOURS
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WIND500 гПа700 гПа850 гПа500 м10 м
COSMO-RU07COSMO-RU07:: MOSCOWMOSCOW, 25.12.2010_15 – 28.12.2010_21 (, 25.12.2010_15 – 28.12.2010_21 (mscmsc))
Velocity, m/c
0
200
400
600
800
1000
0 5 10 15 20 25
факт1300-1430
прогноз_на12ч
прогнозна_24ч
прогноз на 36ч.
прогноз_на_00ч
Порыв ветра(прогноз на 00ч.)
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Baikonur (Байконур), 24 April 2010 Wind
0
100
200
300
400
500
600
700
800
900
1000
-70 -60 -50 -40 -30 -20 -10 0 10 20 30
факт1300-1430
прогноз_на12ч
прогнозна_24ч
прогноз на 36ч.
прогноз_на_00ч
15Т, ˚С
Baikonur (Байконур), 24 April 2010 T
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COSMO-RU02, September-November 2010, Psea, Moscow
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COSMO-RU2, 12-23 February 2011, T2m(prepared by A. Bundel & Versus2)
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, COSMO-RU02, SOCHI-2014,SOCHI-2014, T2m ,, 28.01.2011_15 28.01.2011_15MSCMSC
, COSMO-RU02, SOCHI-2014,SOCHI-2014, Precipitation, 28.01.2011_1528.01.2011_15MSCMSC
PP CORSOPP CORSO
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MOTIVATION
1. For COSMO model development:
COSMO Science Plan 2010-2014 (publication date: 30.11.2010, p. 11) “From the scale of the targeted processes it becomes
clear that the mesh-size of the model-system has to be of the order of 1-3 km.
... the COSMO Steering Committee decided to focus on the development of a model-system for the short to very short range and with very high convective-scale resolution.”
2. Meteorological support for Olympics “Sochi-2014”
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PP CORSO - main goal:
To develop and improve the complex operational high resolution short-range forecast technology for mountain areas for winter weather events on base of COSMO researches
(in example of Sochi area)
CORSO Task 1.High resolution COSMO model development for mountainous regions
1.1. DA for bottom layers and land surface state 1.2. Physical aspects, incl. land data set verification 1.3 Numerical aspects of high (1km) resolution 1.4. Operational support and products dissemination Deliverables: FDP: Operative COSMO-RU for SOCHI-2014, h=2.2 km with DA (Sn,T2m) RDP: Modification of COSMO-1 km, analysis of the results of the tests
2.5 FTE / year HMC of Russia, TL G.Rivin MeteoSwiss, APRA- SIMC DWD
CORSO - Task 2. Downscalling postprocessing for mountain areas 2.1. Configuration of down-scaling operation system, incl.
different approaches of postprocessing 2.2. Data measurement collection 2.3 Local weather studies and techniques for classification 2.4. Operational support and guidelines for forecasters
Deliverables: FDP: Operative forecasting technology of local weather and specific parameters for sportive venues, visualisation support, guidelines for forecasters. RDP: Tested techniques of downscaling, algorithms of vertical T interpolation in mountains, algorythms of calculation of specific weather parameters, development of weather types classification2.5 FTE / year HMC of Russia, TL I. Rozinkina MeteoSwiss
CORSO - Task 3. Ensemble high-resolution forecasting for Sochi area FDP:Adaptation of COSMO LEPS at 7 km to the Sochi region (SOCHMEL7) and to specific requirements of winter Olympic gamesRDP: Development of high-resolution COSMO-based EPS at 2.2 km for the Sochi regionDeliverables: FDP: Operational EPS technology at 7 km for the Sochi region RDP: COSMO-based EPS 2.2 km. Case studies. Comparison 2.2 km EPS vs 7 km EPS.2.5 FTE / year HMC of Russia, TL E. Astakhova, APRA-SIRC, TL A.Montani
CORSO - Task 4. Adapted verification 4.1. Data collection for verification 4.2. Weather dependent and conditional verification tools adapted to Sochi region. 4.3. System of verification of current deterministic and ENS forecast in-situ of measurements 4.4. Implementation of object-oriented and multiscale analysis Operational support and guidelines for forecasters
Deliverables: FDP: Results of verifications of numerical products RDP: Data sets for testing of numerical products. Developed methods of conditional verification for mountainous regions. Analysis and recommendations for further development of used forecasting systems. 1.5 FTE / year HMC of Russia, TL A. Boundel APRA-SIM, Hellenic meteoservice
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