我需要一些操作NetCDF文件的帮助。总共我有10个文件,分别为10年。每年都有多个(相同的)变量,其中一些还包括每日值。在这里,我给大家展示一个结构的例子:
(base) thess2ice@local:rhone_smb_modelling $ ncdump -h Rhone_AWS_1990.nc
netcdf Rhone_AWS_1990 {
dimensions:
x = 402 ;
y = 852 ;
time = 1460 ;
variables:
double x(x) ;
x:_FillValue = NaN ;
x:standard_name = "x" ;
x:long_name = "longitude" ;
x:units = "degrees_east" ;
double y(y) ;
y:_FillValue = NaN ;
y:standard_name = "y" ;
y:long_name = "latitude" ;
y:units = "degrees_north" ;
float HGT(y, x) ;
HGT:_FillValue = -9999.f ;
HGT:units = "m" ;
HGT:long_name = "Elevation" ;
float ASPECT(y, x) ;
ASPECT:_FillValue = -9999.f ;
ASPECT:units = "degrees" ;
ASPECT:long_name = "Aspect of slope" ;
float SLOPE(y, x) ;
SLOPE:_FillValue = -9999.f ;
SLOPE:units = "degrees" ;
SLOPE:long_name = "Terrain slope" ;
float MASK(y, x) ;
MASK:_FillValue = -9999.f ;
MASK:units = "boolean" ;
MASK:long_name = "Glacier mask" ;
int64 time(time) ;
time:units = "hours since 1990-01-01 00:00:00" ;
time:calendar = "proleptic_gregorian" ;
double T2(time, y, x) ;
T2:_FillValue = NaN ;
T2:units = "K" ;
T2:long_name = "Temperature at 2 m" ;
double RRR(time, y, x) ;
RRR:_FillValue = NaN ;
RRR:units = "mm" ;
RRR:long_name = "Total precipitation (liquid+solid)" ;
double ACC(y, x) ;
ACC:_FillValue = -9999. ;
ACC:units = "mm yr^-1" ;
ACC:long_name = "Accumulation from RRR_solid" ;
double MELT_I(y, x) ;
MELT_I:_FillValue = -9999. ;
MELT_I:units = "mm yr^-1" ;
MELT_I:long_name = "Melt from PDD" ;
double MELT_S(y, x) ;
MELT_S:_FillValue = -9999. ;
MELT_S:units = "mm yr^-1" ;
MELT_S:long_name = "Melt from PDD" ;
double SMB(y, x) ;
SMB:_FillValue = -9999. ;
SMB:units = "mm yr^-1" ;
SMB:long_name = "SMB from PDD" ;我需要将数据作为模型的输入。我需要从10个NetCDF文件中提取的变量是SMB变量,它仅是每个网格单元格的年值。因此,我想构建一个表单的NetCDF:
(year, y, x) for the SMB variable我知道ncks命令只提取SMB变量,但我无法一次将它应用于多个文件(假设当前目录中的所有nc文件),并将它们放入一个NetCDF文件中,随后跨越所有10年。
有人能帮我吗?会很棒的!
特蕾莎
发布于 2022-02-26 15:37:44
NCO ncecat命令,即文档化的这里,完全可以满足您的需要:
ncecat -u time -v SMB Rhone_AWS_199*.nc out.nchttps://stackoverflow.com/questions/70953036
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