Climate Forecasting Unit Ocean and sea ice initialization and prediction activities at Climate Forecasting Unit (CFU), Catalan Institute of Climate Sciences.

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Presentation transcript:

Climate Forecasting Unit Ocean and sea ice initialization and prediction activities at Climate Forecasting Unit (CFU), Catalan Institute of Climate Sciences (IC 3 ) 1 Institut Català de Ciències del Clima (IC3), Barcelona, Spain, 2 Université Catholique de Louvain-La-Neuve (UCL), Belgium, 3 Centre National de Recherches Météorologiques/Groupe d’Etude de l’Atmosphère Météorologique, Météo-France, CNRS, Toulouse, France, 4 Instituciò Catalana de Recerca i Estudis Avanc ̧ ats, Barcelona, Spain, 5 Barcelona Supercomputing Center (BSC), Barcelona, Spain. François Massonnet 1,2, Virginie Guemas 1,3, Omar Bellprat 1, Eleftheria Exarchou 1, Muhammad Asif 1, Chloe Prodhomme 1, Neven S. Fučkar 1 and Francisco J. Doblas-Reyes 1,3 5-6 May 2015, EC-Earth meeting, ECMWF

Climate Forecasting Unit I. Ocean initialization

Climate Forecasting Unit Ocean initial conditions for EC-Earth3.1 climate predictions Source: GLORYS2v1 reanalysis ( ) ORCA025L75 From GLORYS2v1 restarts: * ORCA025L75 : original restarts * ORCA025L46 : vertical interpolation + extrapolation + empty seas filled with climatology * ORCA1L46 : vertical and horizontal interpolation + extrapolation + empty seas filled From GLORYS2v1 monthly means: Coupled EC-Earth3.0.1 with 3D T and S nudged toward monthly-mean GLORYS2v1 (360 days below 800m, 10 days above 800m except in the mixed layer + SST & SSS restoring - 40W/m2, -150 mm/day/psu except along 1°S-1°N) * ORCA025L75 : m01u, et ECFS ec:/c3y/restarts_m01u * ORCA025L46 : m01w, at ECFS ec:/c3y/restarts_m01w * ORCA1L46 : m01x, at ECFS ec:/c3y/restarts_m01x Source: ORAS4 reanalysis ( ) ORCA1L42 From ORAS4 restarts: * ORCA1L46 : vertical interpolation and extrapolation + empty seas filled More information :

Climate Forecasting Unit Testing the ocean initial conditions  EC-Earth3.0.1 in T255L91-ORCA1L46-LIM2 configuration  Initialization on 1 st May and 1 st November every year from 1993 to 2009  4 month forecasts  5 members  IFS initialized from ERA-interim with singular vectors to obtain 5 members  LIM2 initialized from GLORYS 2v1  Ocean initialized from interpolated GLORYS2 v1 restarts = Interp or from restarts from nudged simulation toward GLORYS = Nudg

Climate Forecasting Unit Testing the ocean initial conditions Nudg - Interp correlation skill for JJA from 1 st May. Reference: HadISST

Climate Forecasting Unit Ocean initial conditions for EC-Earth3.1 climate predictions Source: GLORYS2v1 reanalysis ( ) ORCA025L75 From GLORYS2v1 restarts: * ORCA025L75 : original restarts * ORCA025L46 : vertical interpolation + extrapolation + empty seas filled with climatology * ORCA1L46 : vertical and horizontal interpolation + extrapolation + empty seas filled From GLORYS2v1 monthly means: Coupled EC-Earth3.0.1 with 3D T and S nudged toward monthly-mean GLORYS2v1 (360 days below 800m, 10 days above 800m except in the mixed layer + SST & SSS restoring - 40W/m2, -150 mm/day/psu except along 1°S-1°N) * ORCA025L75 : m01u, et ECFS ec:/c3y/restarts_m01u * ORCA025L46 : m01w, at ECFS ec:/c3y/restarts_m01w * ORCA1L46 : m01x, at ECFS ec:/c3y/restarts_m01x Source: ORAS4 reanalysis ( ) ORCA1L42 From ORAS4 restarts: * ORCA1L46 : vertical interpolation and extrapolation + empty seas filled More information :

Climate Forecasting Unit Ocean initial conditions nudging ocean and atmosphere Nudging atmospheric dynamics in coupled mode could improve ocean initial conditions due to improved wind stress. Low skill of current nudged ocean initial conditions might result from long time scale of relaxation (1 year in the deep ocean and 10 days in the upper ocean). Tuning of the nudging parameter in progress.

Climate Forecasting Unit Future ocean initial conditions for EC-Earth3.1 climate predictions Source: GLORYS2v1 reanalysis ( ) ORCA025L75 From GLORYS2v1 restarts: * ORCA025L75 : original restarts * ORCA025L46 : vertical interpolation + extrapolation + empty seas filled with climatology * ORCA1L46 : vertical and horizontal interpolation + extrapolation + empty seas filled Source: ORAS4 reanalysis ( ) ORCA1L42 From ORAS4 restarts: * ORCA1L46 : vertical interpolation and extrapolation + empty seas filled Source: GLOSEA5 reanalysis ( ) ORCA025L75 From GLOSEA5 restarts: * ORCA025L75 : extrapolation + empty seas filled with climatology * ORCA025L46 : vertical interpolation + extrapolation + empty seas filled with climatology * ORCA1L46 : vertical and horizontal interpolation + extrapolation + empty seas filled Source: ORAP5 reanalysis ORCA025L75 From ORAP5 restarts: * ORCA025L75 : extrapolation + empty seas filled with climatology * ORCA025L46 : vertical interpolation + extrapolation + empty seas filled with climatology * ORCA1L46 : vertical and horizontal interpolation + extrapolation + empty seas filled

Climate Forecasting Unit Generation of GLOSEA5 initial conditions in progress May SST error % HadISST in a prediction initialized in May 1993 from GLOSEA5

Climate Forecasting Unit II. Sea ice initialization

Climate Forecasting Unit Sea ice initial conditions for EC-Earth3.1 climate predictions Source: GLORYS2v1 reanalysis ( ) ORCA025 From GLORYS2v1 restarts: * ORCA025 : original restarts * ORCA1 : horizontal interpolation + extrapolation Source: IC3 reconstructions LIM2: * ORCA1 : 5-member sea ice reconstructions obtained by running NEMO-LIM2 nudged toward ORAS4 monthly-mean 3D T and S and forced by 1. DFS4.3 over the period = b02s 2. ERA-interim over the period = i00v LIM3 – 1 category: * ORCA1 : 5-member sea ice reconstructions obtained by running NEMO-LIM3 nudged toward ORAS4 monthly-mean 3D T and S and forced by 1. DFS4.3 over the period = i ERA-interim over the period = i057 * Obsolete: i03r & i03s – without ocean nudging toward ORAS4 More information :

Climate Forecasting Unit Validation of IC3’s LIM3 reconstruction LIM2 reconstructionLIM3 reconstruction IceSat October-November sea ice thickness

Climate Forecasting Unit Future sea ice initial conditions for EC-Earth3.1 climate predictions Source: GLORYS2v1 reanalysis ( ) ORCA025 From GLORYS2v1 restarts: * ORCA025 : original restarts * ORCA1 : horizontal interpolation + extrapolation Source: IC3 reconstructions LIM2: * ORCA1 : 5-member sea ice reconstructions obtained by running NEMO-LIM2 nudged toward ORAS4 monthly-mean 3D T and S and forced by 1. DFS4.3 over the period = b02s 2. ERA-interim over the period = i00v LIM3 – 1 category: * ORCA1 : 5-member sea ice reconstructions obtained by running NEMO-LIM3 nudged toward ORAS4 monthly-mean 3D T and S and forced by 1. DFS4.3 over the period = i ERA-interim over the period = i057 * ORCA025 : 5-member sea ice reconstructions obtained by running NEMO-LIM3 nudged toward ORAS4 and forced by DFS4.3 and ERA-interim * ORCA1 and ORCA025: Reanalyses using the Ensemble Kalman Filter and sea ice concentration and sea ice thickness observations from the European Space Agency Climate Change Initiative and

Climate Forecasting Unit Sea Ice Initialization: sea ice data assimilation Observations (e.g., ice concentration only) 1. Model forecasts 2. Analysis The ensemble Kalman filter: a multivariate data assimilation method for smoother initialization Massonnet et al (2014) Ocean Modelling

Climate Forecasting Unit OBS Importance of multivariate initialization for seasonal sea ice prediction Massonnet et al (2014) Ocean Modelling Sea Ice Initialization: sea ice data assimilation

Climate Forecasting Unit Fully-coupled sea ice data assimilation in EC- Earth: the next challenge  What are the perturbations required to generate adequate spread in EC-Earth during the forecast steps of the assimilation run ?  Should the atmosphere be updated when sea ice observations are assimilated?  Can we afford to run the EnKF with less members (CPU time is limited) ? Massonnet et al (2014) Ocean Modelling Sea Ice Initialization: sea ice data assimilation

Climate Forecasting Unit ● Large set of ocean and sea ice initial conditions (IC) for climate predictions already available (see details on the EC-Earth development portal)  on-going work to extend further this set : GLOSEA5, ORAP5, GLORYS2v3, new ORCA05 sea ice reconstruction ● Currently, a better skill is obtained when using interpolated ocean IC than using ocean nudging but including the atmospheric nudging tends to substantially change the ocean heat content  assessment of the role of atmosphere nudging and tuning of the ocean nudging parameters on the climate prediction skill in the coming months ● Generation of sea ice reanalysis at the ORCA1 and ORCA025 configurations based on the Ensemble Kalman Filter planned for the next months Conclusions