Report on POP & CICE of RACM components Jaromir Jakacki, IO PAS

Main problems during period Extended domain in POP Netcdf of the ocean component does not work correctly (fixed temporary - need to be fixed using other make file) Kinetic energy problem was resolved after when wind are dumped – successful integration of 6 years for the ocn/ice/datm/slnd components Also negative area problem was fixed when coupling time step was set to 1800 s

Extended domain Monthly climatology data was interpolated for extended domain (temperature and salinity from PHC 3.0) Some code was added to read those data and mask (ocn_init_mct routine) Some code was added to interpolate and merge data with ocean domain at coupling time step (ocn_setdef_mct routine) All was tested and seems to be working fine, only mask will require a little work

Extended domain – interpolation data (at coupling time step) 1)Read in data (monthly SST, SSS (PHC 3.0) and mask) 2)Interpolation data in occ_comp_mct.F90 at each coupling time step simple method – linear interpolation Y = AX+B For two months Y1=AX1+B and Y2=AX2+B A=(Y2-Y1)/(X2-X1) and B=y2-AX2 3) Merge interpolated data with ocean sea surface temperature

Extended domain (24 points- current version has 48) SST_OUT=SST_CLIM*mask+SST_POP*(1-mask)

Interpolated and merged extended domain (2 nd result) – sst POP and climatology sst (PHC)

Interpolated extended domain (1 st result)

Interpolated and merged extended domain (2 nd result) – sss POP and climatology sss

Examples of results from ocn and ice components

Future plans We are going to switch to other grid (will not exactly match with current) Mask for merging sst and sss requires some work. But only mask. It is ready for running, mask can be replaced at any time After switching to new grid we are able to begin integration - I am planning to begin to work with ocn/ice/wrf/slnd model using converted old ocean restart file

New grid

Important things Net cdf in ocean model – optional compilation of the io_netcdf.F90, io.F90, io_types.F90 and io_binary.F90 Diagnostic output in all models (performance) there is debbuging level from 0 to 4? (not sure), but there is a lot of write statements from all cores Sometimes model hangs when after saving ocean restart file (I have no idea – there is no output – jobs are killed because of wall time) – about 20% of jobs Computer resources – waiting time for one 256 processors job is about 2 days!!!!

Performance chart for all models Number of cores Average time [sec]

Code for linear interpolation (just for checking – maybe somebody will see mistake – not for presentation) data data_days /-14.5,15.5,45,74.5,105,135.5,166,196.5, & 227.5,258,288.5,319,349.5,380.5/ call mct_aVect_copy(avSST12,av_xp1,temp_flds(xp1),'fld') call mct_aVect_copy(avSST12,av_xp2,temp_flds(xp2),'fld') av_A%rAttr(1,:)=(av_xp2%rAttr(1,:)-av_xp1%rAttr(1,:))/(data_days(xp2)-data_days(xp1)) av_B%rAttr(1,:)=av_xp2%rAttr(1,:)-av_A%rAttr(1,:)*data_days(xp2) av_l_temp%rAttr(1,:)=av_A%rAttr(1,:)*rday+av_B%rAttr(1,:) !interpolation of salinity call mct_aVect_copy(avSSS12,av_xp1,salt_flds(xp1),'fld') call mct_aVect_copy(avSSS12,av_xp2,salt_flds(xp2),'fld') av_A%rAttr(1,:)=(av_xp2%rAttr(1,:)-av_xp1%rAttr(1,:))/(data_days(xp2)-data_days(xp1)) av_B%rAttr(1,:)=av_xp2%rAttr(1,:)-av_A%rAttr(1,:)*data_days(xp2) av_l_salt%rAttr(1,:)=av_A%rAttr(1,:)*rday+av_B%rAttr(1,:)