MESSy/CLaMS: Dimensionen und Representationen für Channels
Allgemeines
Channel-Objekte sind immer vom Typ REAL(DP)
Verwendete parallele Zerlegungstypen (dctype)
DC_BC = 0 ! BROADCAST (IO-PE ONLY) -> keine Zerlegung
- DC_IX = 4 ! INDEX
Deklaration der Dimensionen und Representationen
In bmil/messy_main_channel_bi.f90
Dimensionen
INTEGER, SAVE, PUBLIC :: DIMID_TIME = DIMID_UNDEF INTEGER, SAVE, PUBLIC :: DIMID_LEV = DIMID_UNDEF INTEGER, SAVE, PUBLIC :: DIMID_LON = DIMID_UNDEF INTEGER, SAVE, PUBLIC :: DIMID_LAT = DIMID_UNDEF INTEGER, SAVE, PUBLIC :: DIMID_TRAJ = DIMID_UNDEF INTEGER, SAVE, PUBLIC :: DIMID_NTASKS = DIMID_UNDEF INTEGER, SAVE, PUBLIC :: DIMID_SHUFFLE = DIMID_UNDEF
Representationen
INTEGER, SAVE, PUBLIC :: REPR_LG_CLAMS = REPR_UNDEF INTEGER, SAVE, PUBLIC :: REPR_CLAMS_SHUFFLE= REPR_UNDEF INTEGER, SAVE, PUBLIC :: REPR_LEVARR_CLAMS = REPR_UNDEF INTEGER, SAVE, PUBLIC :: REPR_3DINP_CLAMS = REPR_UNDEF INTEGER, SAVE, PUBLIC :: REPR_3DINP_CLAMS2 = REPR_UNDEF INTEGER, SAVE, PUBLIC :: REPR_2D_CLAMSTEST = REPR_UNDEF INTEGER, SAVE, PUBLIC :: REPR_NTASKS = REPR_UNDEF
Initialisieren der Dimensionen und Representationen
In bmil/messy_main_channel_clams.inc
Dimensionen
Initialisieren mit new_dimension
ID |
Name |
Länge |
DIMID_TIME |
time |
1 |
DIMID_LON |
LON |
nx |
DIMID_LAT |
LAT |
ny |
DIMID_LEV |
LEV |
nz |
DIMID_TRAJ |
NPARTS |
nparts_max |
DIMID_SHUFFLE |
NPARTS_SHUFFLE |
nparts_max_shuffle |
DIMID_NTASKS |
ntasks |
ntasks |
DIMID_WAVE |
WAVELENGTH |
jpschi |
DIMID_DISSOC_LEV |
DISSOC_LEV |
jpslevall |
DIMID_DISSOC_LEVC |
DISSOC_LEVC |
jpslev |
DIMID_DISSOC_LAT |
DISSOC_LAT |
jpschi |
DIMID_DISSOC_SZA |
DISSOC_SZA |
jpschi |
DIMID_DISSOC_NUMJ |
DISSOC_NUMJ |
numj_max |
Dimensionsvariablen
Anlegen mit add_dimension_variable
Name der Dimension |
Name der Dimensionsvariablen |
Werte der Dimensionsvariablen |
time |
time |
0.0 |
time |
YYYYMMDD |
yyyymmdd |
time |
dt |
delta_time |
time |
nstep |
REAL(current_time_step, DP) |
LON |
LON |
longrid |
LAT |
LAT |
latgrid |
LEV |
LEV |
levelgrid(1:nz) |
Representationen
Anlegen mit new_representation