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you are using netcdf-4 format i think. this has much more complex storage objects than what you are used to with netcdf-3 format. LB wrote:
Hi,I'm very new to netCDF and I was surprised by the size of files generated by netCDF.Here is the header of the netCDF file : ncdump -h cycle.nc <http://cycle.nc> netcdf cycle { dimensions: Regime = 3 ; group: Regimes { variables: float T41(Regime) ; float TTR(Regime) ; float N1(Regime) ; } // group Regimes group: Cycles { dimensions: Cycle = 5 ; SousCycle = 11 ; variables: byte Type(Cycle) ; short Nb_lignes(Cycle) ; short Indice(SousCycle) ; short Repeat(SousCycle) ; float Duree(SousCycle) ; } // group Cycles group: Simulation { dimensions: Temps = UNLIMITED ; // (19168 currently) variables: float Temps(Temps) ; byte Regime(Temps) ; float T41(Temps) ; float e_p1(Temps) ; float Temps_Touche ; } // group Simulation }The generated file is 3.1 Mo and so 50% heavier than I had expected. Here is how I calculated the expected file size :name Dimension cell size Nb cell variable size group: Regimes { float T41 Regime 32 3 96 float TTR Regime 32 3 96 float N1 Regime 32 3 96 group: Cycles {byte Type Cycle 8 5 40 short Nb_lignes Cycle 16 5 80 short Indice SousCycle 16 11 176 short Repeat SousCycle 16 11 176 float Duree SousCycle 32 11 352 group: Simulation {float Temps Temps 32 19168 613376 byte Regime Temps 8 19168 153344 float T41 Temps 32 19168 613376 float e_p1 Temps 32 19168 613376 float Temps_Touche 32 1 32total size 1994616 Bits soit 1.99 Mo Is there anything I forgot ?Besides, I would like to know how to if there is any efficient way to reduce this size:- I've tried to use deflate_level=1 to 9 in nf90_def_var for the variables in the simulation group but it didn't change the file size. Is there anything else to do to to let netcdf compress data ? gzip seems to compress the resulting file quite well.- Is there a way to store 16bits float to compress data (with loss) in order to reduce the size of data where we have a limited resolution ?Best regards, -- Loic ------------------------------------------------------------------------ _______________________________________________ netcdfgroup mailing list netcdfgroup@xxxxxxxxxxxxxxxxFor list information or to unsubscribe, visit: http://www.unidata.ucar.edu/mailing_lists/
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