MINERVA workshop, GMU, 16-17 Sep. 20131 MINERVA and the ECMWF coupled ensemble systems Franco Molteni, Frederic Vitart European Centre for Medium-Range.

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MINERVA workshop, GMU, Sep MINERVA and the ECMWF coupled ensemble systems Franco Molteni, Frederic Vitart European Centre for Medium-Range Weather Forecasts, Reading, U.K.

MINERVA workshop, GMU, Sep ECMWF coupled ensemble systems (1) Systematmosphere model cycle atmosphere spectral truncation atmosphere vertical levels ocean modelocean horizontal res, equatorial refinement ocean vertical levels MINERVAIFS cy 38r1T319 / T639 / T levels, top = 1 Pa NEMO v 3.0/3.11 degree, ~ 0.3 deg. Lat 42 levels System 4IFS cy 36r4T25591 levels, top = 1 Pa NEMO v 3.0/3.11 degree, ~ 0.3 deg. Lat 42 levels ENS (current) IFS cy 38r2T639 (d 0-10), T levels, top = 5 hPa NEMO v 3.0/3.11 degree, ~ 0.3 deg. Lat 42 levels ENS (end 2013) IFS cy 40r1T639 (d 0-10), T levels, top = 1 Pa NEMO v 3.41 degree, ~ 0.3 deg. Lat 42 levels

MINERVA workshop, GMU, Sep ECMWF coupled ensemble systems (2) Systemcouplertime range of ocean- atmosphere coupling coupling frequency unperturbed initial cond. for re- forecasts atmospheric perturbations ocean perturbations stochastic model perturbations MINERVAOASIS-3from start3 hoursERA-Interim + ORA-S4 SV, EDA from 2011 dates 5 ocean analyses + SST perturbations 3-timescale SPPT + KE backscatter System 4OASIS-3from start3 hoursERA-Interim + ORA-S4 SV5 ocean analyses + SST perturbations 3-timescale SPPT + KE backscatter ENS (current) OASIS-3from day 103 hoursERA-Interim + ORA-S4 SV, EDA from current or recent date generated by ENS member fluxes during day 1 to 10 2-timescale SPPT + KE backscatter ENS (end 2013) sequential, single executable code from start3 hoursERA-Interim + ORA-S4 SV, EDA from current or recent date 5 ocean analyses 2-timescale SPPT + KE backscatter ORA-S4 : Ocean Re-Analysis for ECMWF System-4EDA : Ensemble of Data Assimilations (low-res 4D-var) SV : Singular Vectors of 48-hour linear propagatorSPPT : Stochastic Perturbation of Physical Tendencies scheme

MINERVA workshop, GMU, Sep ECMWF seasonal fc. System 4: main features  IFS model cycle: 36r4 (op. Nov May 2011), T255-L91  Ocean model : NEMO (v coupling interface)  ORCA-1 configuration (~1-deg. resol., ~0.3 lat. near the equator)  42 vertical levels, 20 levels with z < 300 m  Variational ocean data assimilation (NEMOVAR)  FGAT 3D-var, re-analysis (ORA-S4) and near-real-time system  Operational forecasts  51-member ensemble from 1 st day of the month, released on the 8 th  7-month integration  13-month extension (with 15 ens. members) from 1 st Feb/May/Aug/Nov  Re-forecast set  30 years, start dates from 1 Jan 1981 to 1 Dec 2010  15-member ensembles, 7-month integrations  13-month extension from 1 st Feb/May/Aug/Nov  Extended set: 7-month, 51 members from 1 st Feb/May/Aug/Nov

MINERVA workshop, GMU, Sep Current ENS/monthly system: 15 days twice daily, 32 days twice a week (Mon + Thu) Unified ENS/monthly forecasts at ECMWF (since Mar. 2008) Initial condition Atmos. fc. at T639, persist. SSTA Forced ocean integration (NEMO) Heat flux, Wind stress, P-E Coupled forecast at T319 Day 32 Day 10 Day 15 Calibration from 5-member ensembles on the same in. date of the previous 20 years Coupled forecast at T639Coupled forecast at T319 Day 32 Day 10 Day 15 ENS/monthly system in Cycle 40r1 (planned for nov. 2013)

MINERVA workshop, GMU, Sep Tendency coupling in ENS (day 1-10) Motivation:  Start the ENS with the same high-resolution observed SST used for the HRES forecast (UKMO OSTIA SST)  Avoid SST degradation due to low-resolution ocean IC in the early part of the forecast (eg, impact on T_2m in coastal regions)  Get smooth transition to full coupling at fc. day 10 Tendency coupling:  SST(t) = SST_obs(t0) + [ SST_nemo(t) – SST_nemo(t0) ] = SST_nemo(t) + [ SST_obs(t0) – SST_nemo(t0) ] Transition from day 5 to day 10:  SST(t) = SST_nemo(t) + w(t) [ SST_nemo(t0) – SST_obs(t0) ]  w(t) = 1 until day 5, decreases linearly to 0 at day 10

MINERVA workshop, GMU, Sep Impact of coupling from day 0 on MJO forecast Correlation of bi-variate MJO index between ensemble mean and ERA, from a set of ENS experiments with coupling from day 0 (red) and with operational configuration (blue). The shaded bands show the variability of scores (+/- 1 stand.dev.) among individual cases.

MINERVA workshop, GMU, Sep Coupling from day 0: tropical cyclones Hurricane Nadine – 19/09/2012 SST day 5 – day0 MEANSTD OBS38 Oper Coupled Exp Maximum 10-m Wind velocity (m/s) MSLP MEANSTD OBS978 Oper971 9 Coupled Exp9794.6

MINERVA workshop, GMU, Sep MEANSTD Oper Coupled Exp OBS60 Maximum 10-m Wind velocity (m/s) MSLP MEANSTD Oper Coupled Exp97014 OBS968 Leslie – 3 Sept UTC

MINERVA workshop, GMU, Sep Coupling from day 0: weekly-mean scores

MINERVA workshop, GMU, Sep Coupling from day 0: weekly-mean scores