Initialized Predictions

We don't try to predict the end of the century, but next month, season, year or decade.

Running and storing initialized predictions is costly. More often than we might think, we can work with each other's runs and collaborate - if we knew they existed.

Experiment name Experiment goal model version initialization type (perfect,assimilation) member size initializations (first, last, freq) leads forcing further details location on disk location on tape location of companion simulation (control,assimilation,historical) contact (name, email) (future) reference paper
DCPP CMIP6 model comparison multi model assimilation many annually, mostly Nov 1st year before or Jan 1st 120 months transient SSP4.5 multi-model /work/ik1017/CMIP6/data/CMIP6/DCPP DKRZ downloads replica Boer et al. 2016 (GMD) doi:10/f89qdf
asp_esmControl_ens3xxx_m00x find predictability horizon of atm. CO2 MPI-ESM1.2-LR perfect 10 12 (Jan 1st random years) 240 months esm-piControl prognostic atm. CO2, perfect-model framework archived by packems /hpss/arch/mh0727/m300524/src/mpiesm-1.2.01-release/experiments/Spring_and_Ilyina_2020_GRL_asp_esmControl_ensxxxx_mxxx_*.tar /hpss/arch/mh0727/m300524/src/mpiesm-1.2.01-release/experiments/Spring_and_Ilyina_2020_GRL_vga0214_*.tar Aaron Spring (aaron.spring@mpimet.mpg.de) Spring & Ilyina (2020), GRL, doi:10/ggtbv2
asp_PMassim_reconR_init18xx_m00x find impact of different idealized indirect or direct reconstructions R for carbon cycle MPI-ESM1.2-LR perfect, direct & indirect 5 19 (1860, 1896, every 2nd year Jan 1st) 36 months esm-piControl prognostic atm. CO2, perfect-model (reconstruction) framework /work/bm1124/m300524/experiments not yet archived control: vga0220a_Rerun reconstructions: asp_esmControl_PMassim_1850_R_over_2006 Aaron Spring (aaron.spring@mpimet.mpg.de) Spring et al. ESD (2021) to be submitted
Grand Ensemble GE can be seen as perfect-model ensemble initialized in 1st 2006 MPI-ESM1.1-LR perfect 3 100 (scenarios diverge after) 10 years transient RCPs details grand_ensemble 3D on tape grand_ensemble control grand_ensemble data: grand_ensemble, approach: Aaron Spring (aaron.spring@mpimet.mpg.de) Maher et al. (2019), JAMES doi:10/gf3kgt
asSEIKERAf_i8p4-LR assimilation, reanalysis, 1958-today MPI-ESM1.2-LR from piControl + 2-phase 350yr spinup 16 Jan. 1st 1958 CMIP6 historical + SSP45 local EnKF ocean (EN4 profiles), nudging atmos (ERA40/ERAI/ERA5) /work/uo1075/decadal_system_mpi-esm-lr_enkf/mpiesm-1.2.01p5/experiments /hpss/arch/uo1075/decadal_system_mpi-esm-lr_enkf Sebastian Brune (sebastian.brune@uni-hamburg.de) Brune & Baehr (2020), WIREs Clim. Change 10.1002/wcc.637
dkfen4_i2p1-LR decadal predictions MPI-ESM1.2-LR assimilation asSEIKERAf_i8p4-LR 16×5 = 80 Nov. 1st 1960-2020 10 years CMIP6 historical + SSP45 direct init from asSEIKERAf_i8p4-LR, chunks of 16 with ATMO_DISTURBANCE <> 1 /work/uo1075/decadal_system_mpi-esm-lr_enkf/mpiesm-1.2.01p5/experiments /hpss/arch/uo1075/decadal_system_mpi-esm-lr_enkf CMIP6 historical and SSP245 /mnt/lustre02/work/ik1017/CMIP6/data/CMIP6/CMIP/MPI-M/MPI-ESM1-2-LR/historical, (..)/ScenarioMIP/MPI-M/MPI-ESM1-2-LR/ssp245 Sebastian Brune (sebastian.brune@uni-hamburg.de) Brune & Baehr (2020), WIREs Clim. Change 10.1002/wcc.637
baseline0 MiKlip decadal prediction MPI-ESM-LR & MR from OMIP 10 & 3 1960-2012 10 years CMIP5 & RCP4.5 /work/bmx825/global/prod/archive/baseline0 /hpss/arch/bmx825/global/baseline0 CMIP5 DECK wolfgang.mueller@mpimet.mpg.de Mueller et al. (2012) GRL https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2012GL053326
baseline1 MiKlip decadal prediction MPI-ESM-LR & MR ORAS4/ERA40/interim 10 & 5 1960-2018 10 years CMIP5 & RCP4.5 /work/bmx825/global/prod/archive/baseline1 /hpss/arch/bmx825/global/baseline1 CMIP5 DECK holger.pohlmann@mpimet.mpg.de Pohlmann et al. (2013) GRL https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013GL058051
droughtclip MiKlip decadal prediction MPI-ESM-LR from OMIP 3 1900-2009 10 years CMIP5 & RCP4.5 /work/bmx825/global/prod/archive/droughtclip /hpss/arch/bmx825/global/droughtclip CMIP5 DECK wolfgang.mueller@mpimet.mpg.de Mueller et al. (2014) GRL https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2014GL059259
prototype MiKlip decadal prediction MPI-ESM-LR ff-GECCO & ff-ORAS4/ERA40/interim 15 & 15 1960-2013 10 years CMIP5 & RCP4.5 /work/bmx825/global/prod/archive/prototype /hpss/arch/bmx825/global/prototype CMIP5 DECK wolfgang.mueller@mpimet.mpg.de Kroeger et al. (2018) Clim Dyn https://link.springer.com/article/10.1007/s00382-017-4030-1
preop-dcpp MiKlip decadal prediction MPI-ESM1.2-HR ORAS4/ERA40/interim 10 1960-2019 10 years CMIP6 & SSP245 /work/bmx825/global/prod/archive/preop-dcpp /hpss/arch/bmx825/global/preop-dcpp CMIP6 DECK holger.pohlmann@mpimet.mpg.de Pohlmann et al. (2019) GRL https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019GL084878
piC_processes_Jan Determine mechanisms predictability MPI-ESM1.2-MR perfect 10 35 (ENSO state based) 24 months /work/mj0060/m300755/mpiesm-landveg/experiments/s2d_vga0220_january /hpss/arch/mj0060/m300755/experiments/s2d_vga0220_january vga0220 Istvan Dunkl (istvan.dunkl@mpimet.mpg.de) Dunkl et al. (2021) ESD https://esd.copernicus.org/preprints/esd-2021-38/
piC_processes_July Determine mechanisms predictability MPI-ESM1.2-MR perfect 10 10 (ENSO state based) 18 months /work/mj0060/m300755/mpiesm-landveg/experiments/s2d_vga0220_july /hpss/arch/mj0060/m300755/experiments/s2d_vga0220_july vga0220 Istvan Dunkl (istvan.dunkl@mpimet.mpg.de)
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