I use the CESM2.1.3 to simulate the snow of Tibetan Plateau. Two sets of identical experiments were conducted(FHIST, begin from 1979, 0.9x1.25), with the only difference being the nodes. Upon examining the namelist, the only difference was npr_yz. However, the results of the experiments differed significantly, especially in the interannual variability of snow-related variables.
The nodes show as follows:
One is:
./xmlchange NTASKS_CPL=-26,NTASKS_ATM=-26,NTASKS_LND=-24,NTASKS_ICE=-2,NTASKS_OCN=-1,NTASKS_ROF=-24,NTASKS_GLC=-1,NTASKS_WAV=-1,NTASKS_ESP=-1
./xmlchange ROOTPE_CPL=0,ROOTPE_ATM=0,ROOTPE_LND=0,ROOTPE_ICE=-24,ROOTPE_OCN=-26,ROOTPE_ROF=0,ROOTPE_GLC=0,ROOTPE_WAV=0,ROOTPE_ESP=0
The corresponding setting of npr_yz is 64,9,9,64
Another One is:
./xmlchange NTASKS_CPL=-18,NTASKS_ATM=-18,NTASKS_LND=-16,NTASKS_ICE=-2,NTASKS_OCN=-1,NTASKS_ROF=-16,NTASKS_GLC=-1,NTASKS_WAV=-1,NTASKS_ESP=-1
./xmlchange ROOTPE_CPL=0,ROOTPE_ATM=0,ROOTPE_LND=0,ROOTPE_ICE=-16,ROOTPE_OCN=-18,ROOTPE_ROF=0,ROOTPE_GLC=0,ROOTPE_WAV=0,ROOTPE_ESP=0
The corresponding setting of npr_yz is 64,13,13,64
The time series graph of the regional average snow water equivalent in the Tibetan Plateau area for the two experiments is as follows:
The nodes show as follows:
One is:
./xmlchange NTASKS_CPL=-26,NTASKS_ATM=-26,NTASKS_LND=-24,NTASKS_ICE=-2,NTASKS_OCN=-1,NTASKS_ROF=-24,NTASKS_GLC=-1,NTASKS_WAV=-1,NTASKS_ESP=-1
./xmlchange ROOTPE_CPL=0,ROOTPE_ATM=0,ROOTPE_LND=0,ROOTPE_ICE=-24,ROOTPE_OCN=-26,ROOTPE_ROF=0,ROOTPE_GLC=0,ROOTPE_WAV=0,ROOTPE_ESP=0
The corresponding setting of npr_yz is 64,9,9,64
Another One is:
./xmlchange NTASKS_CPL=-18,NTASKS_ATM=-18,NTASKS_LND=-16,NTASKS_ICE=-2,NTASKS_OCN=-1,NTASKS_ROF=-16,NTASKS_GLC=-1,NTASKS_WAV=-1,NTASKS_ESP=-1
./xmlchange ROOTPE_CPL=0,ROOTPE_ATM=0,ROOTPE_LND=0,ROOTPE_ICE=-16,ROOTPE_OCN=-18,ROOTPE_ROF=0,ROOTPE_GLC=0,ROOTPE_WAV=0,ROOTPE_ESP=0
The corresponding setting of npr_yz is 64,13,13,64
The time series graph of the regional average snow water equivalent in the Tibetan Plateau area for the two experiments is as follows: