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Update on seasonal forecast system based on SL-AV model at Hydrometcentre of Russia. Decadal prediction plans. M.A. Tolstykh (2,1) and D.B.Kiktev (1),

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Presentation on theme: "Update on seasonal forecast system based on SL-AV model at Hydrometcentre of Russia. Decadal prediction plans. M.A. Tolstykh (2,1) and D.B.Kiktev (1),"— Presentation transcript:

1 Update on seasonal forecast system based on SL-AV model at Hydrometcentre of Russia. Decadal prediction plans. M.A. Tolstykh (2,1) and D.B.Kiktev (1), R.B. Zaripov (1), E.N.Kruglova (1), I.A.Kulikova (1) Hydrometcentre of Russia (1); Institute of Numerical Matematics Russian Academy of Sciences (2) 2015

2 Plan Seasonal forecast system at HMCR
Plans for running decadal forecasts at INM RAS

3 Seasonal version of SL-AV model
Semi-implicit semi-Lagrangian vorticity-divergence dynamical core of own development (Tolstykh 2010), mostly ALADIN/LACE parameterizations. Current version: Resolution 1.4x1.125 degrees lon/lat, 28 levels. Described in (Tolstykh et al, Izvestia RAN, Ser. PhA&O, 2010) with updates in (Tolstykh et al Izvestia RAN, 2014) Verification of seasonal forecasts (also for MGO (St.Petersbourg) forecasts)

4 Running forecasts d0-63: 1.1x1.4 L28 once a week, 20 member ensemble initialized on 00Z every Wednesday forced py persisted SST anomalies (mean for 2 weeks) from NCEP (Reynolds SST OI v2). Perturbation from a breeding cycle. Re-forecast suite with 10 members spanning 30 years ( ) run in real-time. m0-4: Forecast suite is the same as d0-63, but forecast lead time is 4 months. Runs on the last Wednesday of a month. Re-forecast suite with 10 members spanning 30 years ( ) 00Z and 12Z of each month (24-28 for February). Input to APCC, WMO LC LRF multi-model ensemble. Forecasts are also available at North Eurasia Climate Centre site (neacc.meteoinfo.ru)

5 Scores and forecasts at NEACC site
Skill scores: ROC_A - ROC Score Above Normal ROC_N - ROC Score Near Normal ROC_B - ROC Score Below Normal RO - sign consistency coefficient ACC - anomaly correlation coefficient RMSE - root mean square error Some plots from WMO LC are also available

6 Activities since 16th session
NEACC site (forecasts, diagnostics – scores, indices,…) Implementing CHFP and S2S output standards. New snow albedo parameterization in SL-AV, cloudiness retuning. Moving from NCEP2 to ERA Interim data for hindcasts. Too fast transition to new technology -> serious bug in operational seasonal forecasts in January Corrected by the end of February

7 Comparison of hindcasts errors for 2011 and 2014 versions
Comparison of hindcasts errors for 2011 and 2014 versions. RMSE averaged over 4 seasons and 28 years ( ), for H500(dam) , MSLP (hPa), T850, Т2м, H200 (dam) with respect to reanalysis . S20 - (90 - 20 S), N20 – (20-90 N), TR – (20S-20N). Изменения за все 4 сезона. Изменения для зимнего периода в Т2м – положительны

8 New version of the model
More accurate SW and LW radiation parameterization(CLIRAD SW + RRTM LW). ALARO-0 microphysics Increased horizontal resolution (0.72°x0.9° lat-lon) Promising preliminary results (especially in dynamics), poor precip so far, tuning is underway

9 Plans for decadal forecasts at INM RAS
INMCM5 with improvements - higher model top, better stratosphere resolution, - new cloudiness and condensation parameterizations, - aerosols description. Two resolutions considered: `Optimistic’: Atm. 2˚x1.5˚L73, Oc. 0.5˚x0.25˚L40 (twice higher ocean horizontal resolution than in CMIP5) Atm. 2˚x1.5˚L21, Oc. 1˚x0.5˚L40 Depends on computer resources availability

10 Thank you for attention!


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