netcdf-c/ncdap_test/testdata3/in.nc.das
2010-06-03 13:24:43 +00:00

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Attributes {
lat {
}
lat_var {
}
lat_wgt {
}
lev {
String purpose "Monotonically increasing coordinate pressure";
String units "hybrid_sigma_pressure";
String positive "down";
String A_var "hyam";
String B_var "hybm";
String P0_var "P0";
String PS_var "PS";
String bounds "ilev";
}
lon_T42 {
}
lat_T42 {
}
rlev {
String purpose "Monotonically decreasing coordinate pressure";
}
lon {
}
time {
}
lsmlev {
String purpose "Homebrew level coordinate for LSM";
String long_name "Soil depth";
String units "meter";
}
wvl {
String long_name "Wavelength";
String units "meter";
}
hyam {
String long_name "hybrid A coefficient at layer midpoints";
}
hybm {
String long_name "hybrid B coefficient at layer midpoints";
}
P0 {
String long_name "reference pressure";
String units "pascal";
}
PS {
String long_name "surface pressure";
String units "pascal";
}
fl_dmn {
String long_name "Character coordinate";
String units "[chr]";
}
nbdate {
String long_name "base date as 6 or 8 digit integer (YYMMDD or YYYYMMDD)";
}
date {
String long_name "current date as 6 or 8 digit integer (YYMMDD or YYYYMMDD)";
}
lon_wgt {
String long_name "Gaussian weights";
String purpose "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.";
}
msk_prt_mss_prt {
String long_name "partial mask, partial missing value example";
Float32 missing_value 9.999999617e+35;
}
mss_val {
String long_name "partial missing value example";
Float32 missing_value 9.999999617e+35;
}
mss_val_scl {
String long_name "scalar missing value";
Float32 missing_value 9.999999617e+35;
}
mss_val_fst {
String long_name "offset partial missing value example";
Float32 missing_value -999.0000000;
}
fll_val {
String long_name "_FillValue example";
Float32 _FillValue -999.0000000;
}
no_mss_val {
String long_name "no missing value";
}
val_one_mss {
String long_name "one regular value, one missing value";
Float32 missing_value 9.999999617e+35;
}
pck {
String long_name "Packed scalar variable";
String note "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.";
Float64 scale_factor 2.0000000000000000;
Float64 add_offset 1.0000000000000000;
}
pck_arr {
String long_name "Packed array";
String note "Packed value is -32767s, 0s, 1s, 32767s, unpacked is same in double";
Float64 scale_factor 1.0000000000000000;
Float64 add_offset 0.0000000000000000;
}
upk {
String long_name "Unpacked scalar variable";
String note "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).";
}
upk_arr {
String long_name "Unpacked array";
String note "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";
}
val_one_int {
String long_name "scalar equal to 1";
Int32 missing_value -99;
}
val_one_one_int {
String long_name "1, 1";
Int32 missing_value -99;
}
val_max_max_sht {
String long_name "17000, 17000";
Int16 missing_value -99;
}
val_one_mss_int {
String long_name "1, mss_val";
Int32 missing_value -99;
}
val_half {
String long_name "Scalar with value 0.5";
Float32 missing_value 9.999999617e+35;
}
val_half_half {
String long_name "0.5,0.5";
Float32 missing_value 9.999999617e+35;
}
wgt_one {
String long_name "all values are one";
}
mss_val_all {
String long_name "all missing values example";
Float32 missing_value 9.999999617e+35;
}
scalar_var {
String long_name "scalar variable";
String units "Fraction";
}
float_var {
String long_name "float";
}
double_var {
String long_name "double";
}
double_var2 {
String long_name "double";
Float64 missing_value 1.0000000000000000e+36;
}
int_var {
String long_name "int";
}
short_var {
String long_name "short";
}
char_var {
String long_name "char";
}
char_var_space {
String long_name "Character variable with whitespace on ends";
}
char_var_nul {
String long_name "Character variable containing one NUL";
}
char_var_multinul {
String long_name "Character variable containing multiple NULs";
}
fl_nm {
String long_name "Variable contains a file name";
}
fl_nm_arr {
String long_name "Variable that contains a short array of file names";
String units "[sng]";
}
non_nul_trm_char_one_dmn {
String long_name "Variable contains a one-dimensional array of characters that is not NUL-terminated";
String units "[chr]";
}
non_nul_trm_char_two_dmn {
String long_name "Variable contains a two-dimensional array of characters that are not NUL-terminated";
String units "[chr]";
}
byte_var {
String long_name "byte";
}
zero {
String long_name "zero";
}
one {
String long_name "one";
}
two {
String long_name "two";
}
e_dbl {
String long_name "e, base of the natural logarithm";
}
e_flt {
String long_name "e, base of the natural logarithm";
}
three {
String long_name "three";
}
four {
String long_name "four";
}
negative_one {
String long_name "negative one";
}
lev_var {
String long_name "lev_var";
}
lev_wgt {
String long_name "lev_wgt";
}
g {
String long_name "g";
}
z {
String long_name "Height";
String units "meter";
String purpose "Height stored with a monotonically increasing coordinate";
}
rz {
String long_name "Height";
String units "meter";
String purpose "Height stored with a monotonically decreasing coordinate";
}
one_dmn_var {
}
att_var {
Byte byte_att 0;
String char_att "Sentence one.\\012Sentence two.\\012";
Int16 short_att 37;
Int32 int_att 73;
Float32 float_att 73.00000000, 72.00000000, 71.00000000;
Float64 double_att 73.000000000000000;
}
bnd_var {
Byte byte_att 0;
String char_att "Sentence one.\\012Sentence two.\\012";
Int16 short_att 37;
Int32 int_att 73;
Float32 float_att 73.00000000;
Float64 double_att 73.000000000000000;
}
three_dmn_var {
String long_name "three dimensional variable with CCM coordinate convention C=[lat,lev,lon], Fortran=(lon,lev,lat)";
String units "Fraction";
}
three_dmn_var_crd {
String long_name "three dimensional variable with COORDS coordinate convention C=[lev,lat,lon], Fortran=(lon,lat,lev)";
String units "Fraction";
}
prs_sfc {
String long_name "Surface pressure";
String units "pascal";
}
two_dmn_var {
String long_name "two dimensional variable";
String units "Fraction";
}
mask {
String long_name "mask variable like ORO";
String units "Fraction";
}
ORO {
String long_name "Orography";
String units "Fraction";
}
weight {
String long_name "Gaussian weight";
String units "Fraction";
}
gw {
String long_name "gw variable like gw";
String units "Fraction";
}
gw_T42 {
String long_name "gw variable like gw_T42";
String units "Fraction";
}
rec_var_flt {
String long_name "record variable, float";
}
rec_var_dbl {
String long_name "record variable, double";
}
one_dmn_rec_var {
String long_name "one dimensional record variable";
String units "second";
}
tpt {
String long_name "Temperature";
String units "kelvin";
String hieght "Leave mispelled for NCO User's guide example";
}
rec_var_dbl_mss_val_dbl_upk {
String long_name "record variable, double, with double missing values";
String purpose "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.";
Float64 missing_value -999.00000000000000;
}
rec_var_dbl_mss_val_dbl_pck {
String long_name "record variable, double, with double missing values, packed";
String purpose "Packed version of rec_var_dbl_mss_val_dbl_upk";
Float64 missing_value -999.00000000000000;
Float64 scale_factor -9.1554131380178503e-05;
Float64 add_offset 5.0000000000000000;
}
rec_var_flt_mss_val_flt {
String long_name "record variable, float, with float missing values";
Float32 missing_value 9.999999617e+35;
}
rec_var_flt_pck {
String long_name "record variable, float, packed";
String purpose "Demonstrate that rounding of means of packed data are handled correctly";
Float32 scale_factor 0.1000000015;
Float32 add_offset 100.0000000;
}
rec_var_dbl_pck {
String long_name "record variable, double, packed";
String purpose "Demonstrate that rounding of means of packed data are handled correctly";
Float64 scale_factor 0.10000000000000001;
Float64 add_offset 100.00000000000000;
}
rec_var_flt_mss_val_dbl {
String long_name "record variable, float, with double missing values";
Float64 missing_value 1.0000000000000000e+36;
}
rec_var_flt_mss_val_int {
String long_name "record variable, float, with integer missing values";
Int32 missing_value -999;
}
rec_var_int_mss_val_int {
String long_name "record variable, integer, with integer missing values";
Int32 missing_value -999;
}
rec_var_int_mss_val_flt {
String long_name "record variable, integer, with float missing values";
Float32 missing_value -999.0000000;
}
rec_var_int_mss_val_dbl {
String long_name "record variable, integer, with double missing values";
Float64 missing_value -999.00000000000000;
}
rec_var_dbl_mss_val_dbl_pck_lng {
String long_name "record variable, double packed as long, with double missing values";
String purpose "although not usual, packing doubles into longs (rather than shorts) is still a considerable cost savings";
Float64 missing_value -999.00000000000000;
Float64 scale_factor -9.1554131380178503e-05;
Float64 add_offset 5.0000000000000000;
}
one_dmn_rec_var_sng {
String long_name "one dimensional record variable of string";
}
time_lon {
String long_name "Record variable of longitude coordinate";
}
two_dmn_rec_var_sng {
String long_name "two dimensional record variable of string";
}
two_dmn_rec_var {
String long_name "two dimensional record variable";
String units "watt meter-2";
}
three_dmn_rec_var {
String long_name "three dimensional record variable";
String units "watt meter-2";
}
three_dmn_var_dbl {
String long_name "three dimensional record variable of type double";
String units "watt meter-2";
Float64 missing_value -99.000000000000000;
}
three_dmn_var_int {
String long_name "three dimensional record variable of type int";
String units "watt meter-2";
Int32 missing_value -99;
}
three_dmn_var_sht {
String long_name "three dimensional record variable";
String units "watt meter-2";
Int16 missing_value -99;
}
four_dmn_rec_var {
String long_name "four dimensional record variable";
String units "watt meter-2";
}
time_udunits {
String units "hours since 1900-01-01 00:00:0.0";
String delta_t "0000-00-00 06:00:0.0";
}
u {
String long_name "Zonal wind speed";
String units "meter second-1";
}
v {
String long_name "Meridional wind speed";
String units "meter second-1";
}
NC_GLOBAL {
String Conventions "NCAR-CSM";
String history "History global attribute.\\012";
Float64 julian_day 200000.04000000001;
}
DODS_EXTRA {
String Unlimited_Dimension "time";
}
}