NCAR-CSM
History global attribute.\012
200000.0400000000
$Header: /cvsroot/nco/nco/data/in.cdl,v 1.55 2004/09/07 19:50:05 zender Exp $
time
Monotonically increasing coordinate pressure
hybrid_sigma_pressure
down
hyam
hybm
P0
PS
ilev
Monotonically decreasing coordinate pressure
Homebrew level coordinate for LSM
Soil depth
meter
Wavelength
meter
hybrid A coefficient at layer midpoints
hybrid B coefficient at layer midpoints
reference pressure
pascal
surface pressure
pascal
Character coordinate
[chr]
3
base date as 6 or 8 digit integer (YYMMDD or YYYYMMDD)
current date as 6 or 8 digit integer (YYMMDD or YYYYMMDD)
Gaussian weights
Gaussian weights which sum to two for n = 4. These weights are all have floor of 0.0 so should cause SIGFPE when applied to integer types in weighted average.
partial mask, partial missing value example
9.99999962e+35
partial missing value example
9.99999962e+35
scalar missing value
9.99999962e+35
offset partial missing value example
-999.000000
_FillValue example
-999.000000
no missing value
one regular value, one missing value
9.99999962e+35
Packed scalar variable
Original packed value was 1s with scale_factor = 2.0d and add_offset = 1.0d. Unpacked value should be 3.0 = 2.0d*1s + 1.0d. NCO algorithms would pack this variable as scale_factor = 0.0d and add_offset = 3.0d.
2.000000000000000
1.000000000000000
Packed array
Packed value is -32767s, 0s, 1s, 32767s, unpacked is same in double
1.000000000000000
0.000000000000000
Unpacked scalar variable
Unpacked value is 3.0d0, upk=unpack(pck)= 2.0d0*1s + 1.0d0 = 3.0d0. Packing this variable should create an NC_SHORT scalar = 0s with packing attribute add_offset=3.0d and either no scale_factor (ncap) or scale_factor = 0.0d (ncpdq).
Unpacked array
Unpacked value is -32767.d, 0.d, 1.d, 32767.d, packed is same in short. Packing algorithm should yield an NC_SHORT array = [] with packing attributes scale_factor=1.0d, add_offset=0.0d
scalar equal to 1
-99
1, 1
-99
17000, 17000
-99
1, mss_val
-99
Scalar with value 0.5
9.99999962e+35
0.5,0.5
9.99999962e+35
all values are one
all missing values example
9.99999962e+35
scalar variable
Fraction
float
double
double
1.000000000000000e+36
int
short
char
1
Character variable with whitespace on ends
1
Character variable containing one NUL
1
Character variable containing multiple NULs
3
Variable contains a file name
80
Variable that contains a short array of file names
[sng]
80
Variable contains a one-dimensional array of characters that is not NUL-terminated
[chr]
4
Variable contains a two-dimensional array of characters that are not NUL-terminated
[chr]
4
byte
zero
one
two
e, base of the natural logarithm
e, base of the natural logarithm
three
four
negative one
lev_var
lev_wgt
g
Height
meter
Height stored with a monotonically increasing coordinate
Height
meter
Height stored with a monotonically decreasing coordinate
0
Sentence one.\012Sentence two.\012
37
73
73.0000000
72.0000000
71.0000000
73.00000000000000
0
Sentence one.\012Sentence two.\012
37
73
73.0000000
73.00000000000000
three dimensional variable with CCM coordinate convention C=[lat,lev,lon], Fortran=(lon,lev,lat)
Fraction
three dimensional variable with COORDS coordinate convention C=[lev,lat,lon], Fortran=(lon,lat,lev)
Fraction
Surface pressure
pascal
two dimensional variable
Fraction
mask variable like ORO
Fraction
Orography
Fraction
Gaussian weight
Fraction
gw variable like gw
Fraction
gw variable like gw_T42
Fraction
record variable, float
record variable, double
one dimensional record variable
second
Temperature
kelvin
Leave mispelled for NCO User's guide example
record variable, double, with double missing values
This variable is used to generate the packed variable rec_var_dbl_mss_val_dbl_pck, so its missing_value should not be too far out of range, i.e., it should be representable by a short. However, the missing_value should itself be the same type as the unpacked variable, NC_DOUBLE in this case.
-999.0000000000000
record variable, double, with double missing values, packed
Packed version of rec_var_dbl_mss_val_dbl_upk
-999.0000000000000
-9.155413138017850e-05
5.000000000000000
record variable, float, with float missing values
9.99999962e+35
record variable, float, packed
Demonstrate that rounding of means of packed data are handled correctly
0.100000001
100.000000
record variable, double, packed
Demonstrate that rounding of means of packed data are handled correctly
0.1000000000000000
100.0000000000000
record variable, float, with double missing values
1.000000000000000e+36
record variable, float, with integer missing values
-999
record variable, integer, with integer missing values
-999
record variable, integer, with float missing values
-999.000000
record variable, integer, with double missing values
-999.0000000000000
record variable, double packed as long, with double missing values
although not usual, packing doubles into longs (rather than shorts) is still a considerable cost savings
-999.0000000000000
-9.155413138017850e-05
5.000000000000000
one dimensional record variable of string
10
Record variable of longitude coordinate
two dimensional record variable of string
3
two dimensional record variable
watt meter-2
three dimensional record variable
watt meter-2
three dimensional record variable of type double
watt meter-2
-99.00000000000000
three dimensional record variable of type int
watt meter-2
-99
three dimensional record variable
watt meter-2
-99
four dimensional record variable
watt meter-2
hours since 1900-01-01 00:00:0.0
0000-00-00 06:00:0.0
Zonal wind speed
meter second-1
Meridional wind speed
meter second-1