OPeNDAP Data Access Form for in_no_three_double_dmn.nc
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dataset: in_no_three_double_dmn.nc




  • NC_GLOBAL
    • Conventions: NCAR-CSM
    • history: History global attribute.\012
    • julian_day: 200000.0400000000
    • RCS_Header: $Header: /cvsroot/nco/nco/data/in.cdl,v 1.55 2004/09/07 19:50:05 zender Exp $
  • DODS_EXTRA
    • Unlimited_Dimension: time


lat[ lat= 0 ..1] (Type is Float32)
no attributes
lat_var[ lat= 0 ..1] (Grid of Float32 values)
no attributes
lat_wgt[ lat= 0 ..1] (Grid of Float32 values)
no attributes
lev[ lev= 0 ..2] (Type is Float32)
  • attributes
    • purpose: Monotonically increasing coordinate pressure
    • units: hybrid_sigma_pressure
    • positive: down
    • A_var: hyam
    • B_var: hybm
    • P0_var: P0
    • PS_var: PS
    • bounds: ilev
lon_T42[ lon_T42= 0 ..127] (Type is Float32)
no attributes
lat_T42[ lat_T42= 0 ..63] (Type is Float32)
no attributes
rlev[ rlev= 0 ..2] (Type is Float32)
  • attributes
    • purpose: Monotonically decreasing coordinate pressure
lon[ lon= 0 ..3] (Type is Float32)
no attributes
time[ time= 0 ..9] (Type is Float64)
no attributes
lsmlev[ lsmlev= 0 ..5] (Type is Float32)
  • attributes
    • purpose: Homebrew level coordinate for LSM
    • long_name: Soil depth
    • units: meter
wvl[ wvl= 0 ..1] (Type is Float32)
  • attributes
    • long_name: Wavelength
    • units: meter
hyam[ lev= 0 ..2] (Grid of Float32 values)
  • attributes
    • long_name: hybrid A coefficient at layer midpoints
hybm[ lev= 0 ..2] (Grid of Float32 values)
  • attributes
    • long_name: hybrid B coefficient at layer midpoints
P0(Type is Float32)
  • attributes
    • long_name: reference pressure
    • units: pascal
PS[ time= 0 ..9] [ lat= 0 ..1] [ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: surface pressure
    • units: pascal
fl_dmn(Type is String)
  • attributes
    • long_name: Character coordinate
    • units: [chr]
    • string_length: 3
nbdate(Type is Int32)
  • attributes
    • long_name: base date as 6 or 8 digit integer (YYMMDD or YYYYMMDD)
date[ time= 0 ..9] (Grid of Int32 values)
  • attributes
    • long_name: current date as 6 or 8 digit integer (YYMMDD or YYYYMMDD)
lon_wgt[ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: Gaussian weights
    • 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[ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: partial mask, partial missing value example
    • missing_value: 9.99999962e+35
mss_val[ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: partial missing value example
    • missing_value: 9.99999962e+35
mss_val_scl(Type is Float32)
  • attributes
    • long_name: scalar missing value
    • missing_value: 9.99999962e+35
mss_val_fst[ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: offset partial missing value example
    • missing_value: -999.000000
fll_val[ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: _FillValue example
    • _FillValue: -999.000000
no_mss_val[ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: no missing value
val_one_mss[ lat= 0 ..1] (Grid of Float32 values)
  • attributes
    • long_name: one regular value, one missing value
    • missing_value: 9.99999962e+35
pck(Type is Int16)
  • attributes
    • long_name: Packed scalar variable
    • 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.
    • scale_factor: 2.000000000000000
    • add_offset: 1.000000000000000
pck_arr[ lon= 0 ..3] (Grid of Int16 values)
  • attributes
    • long_name: Packed array
    • note: Packed value is -32767s, 0s, 1s, 32767s, unpacked is same in double
    • scale_factor: 1.000000000000000
    • add_offset: 0.000000000000000
upk(Type is Float64)
  • attributes
    • long_name: Unpacked scalar variable
    • 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[ lon= 0 ..3] (Grid of Float64 values)
  • attributes
    • long_name: Unpacked array
    • 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(Type is Int32)
  • attributes
    • long_name: scalar equal to 1
    • missing_value: -99
val_one_one_int[ lat= 0 ..1] (Grid of Int32 values)
  • attributes
    • long_name: 1, 1
    • missing_value: -99
val_max_max_sht[ lat= 0 ..1] (Grid of Int16 values)
  • attributes
    • long_name: 17000, 17000
    • missing_value: -99
val_one_mss_int[ lat= 0 ..1] (Grid of Int32 values)
  • attributes
    • long_name: 1, mss_val
    • missing_value: -99
val_half(Type is Float32)
  • attributes
    • long_name: Scalar with value 0.5
    • missing_value: 9.99999962e+35
val_half_half[ lat= 0 ..1] (Grid of Float32 values)
  • attributes
    • long_name: 0.5,0.5
    • missing_value: 9.99999962e+35
wgt_one[ lat= 0 ..1] (Grid of Float32 values)
  • attributes
    • long_name: all values are one
mss_val_all[ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: all missing values example
    • missing_value: 9.99999962e+35
scalar_var(Type is Float32)
  • attributes
    • long_name: scalar variable
    • units: Fraction
float_var(Type is Float32)
  • attributes
    • long_name: float
double_var(Type is Float64)
  • attributes
    • long_name: double
double_var2(Type is Float64)
  • attributes
    • long_name: double
    • missing_value: 1.000000000000000e+36
int_var(Type is Int32)
  • attributes
    • long_name: int
short_var(Type is Int16)
  • attributes
    • long_name: short
char_var(Type is String)
  • attributes
    • long_name: char
    • string_length: 1
char_var_space(Type is String)
  • attributes
    • long_name: Character variable with whitespace on ends
    • string_length: 1
char_var_nul(Type is String)
  • attributes
    • long_name: Character variable containing one NUL
    • string_length: 1
char_var_multinul(Type is String)
  • attributes
    • long_name: Character variable containing multiple NULs
    • string_length: 3
fl_nm(Type is String)
  • attributes
    • long_name: Variable contains a file name
    • string_length: 80
fl_nm_arr[ fl_dmn= 0 ..2] (Type is String)
  • attributes
    • long_name: Variable that contains a short array of file names
    • units: [sng]
    • string_length: 80
non_nul_trm_char_one_dmn(Type is String)
  • attributes
    • long_name: Variable contains a one-dimensional array of characters that is not NUL-terminated
    • units: [chr]
    • string_length: 4
non_nul_trm_char_two_dmn[ fl_dmn= 0 ..2] (Type is String)
  • attributes
    • long_name: Variable contains a two-dimensional array of characters that are not NUL-terminated
    • units: [chr]
    • string_length: 4
byte_var(Type is Int16)
  • attributes
    • long_name: byte
zero(Type is Float32)
  • attributes
    • long_name: zero
one(Type is Float32)
  • attributes
    • long_name: one
two(Type is Float32)
  • attributes
    • long_name: two
e_dbl(Type is Float64)
  • attributes
    • long_name: e, base of the natural logarithm
e_flt(Type is Float32)
  • attributes
    • long_name: e, base of the natural logarithm
three(Type is Float32)
  • attributes
    • long_name: three
four(Type is Float32)
  • attributes
    • long_name: four
negative_one(Type is Float32)
  • attributes
    • long_name: negative one
lev_var[ lev= 0 ..2] (Grid of Float32 values)
  • attributes
    • long_name: lev_var
lev_wgt[ lev= 0 ..2] (Grid of Float32 values)
  • attributes
    • long_name: lev_wgt
g(Type is Float32)
  • attributes
    • long_name: g
z[ lev= 0 ..2] (Grid of Float32 values)
  • attributes
    • long_name: Height
    • units: meter
    • purpose: Height stored with a monotonically increasing coordinate
rz[ rlev= 0 ..2] (Grid of Float32 values)
  • attributes
    • long_name: Height
    • units: meter
    • purpose: Height stored with a monotonically decreasing coordinate
one_dmn_var[ bnd= 0 ..1] (Type is Float32)
no attributes
att_var(Type is Float32)
  • attributes
    • byte_att: 0
    • char_att: Sentence one.\012Sentence two.\012
    • short_att: 37
    • int_att: 73
    • float_att: 73.000000072.000000071.0000000
    • double_att: 73.00000000000000
bnd_var[ lev= 0 ..2] [ bnd= 0 ..1] (Type is Int32)
  • attributes
    • byte_att: 0
    • char_att: Sentence one.\012Sentence two.\012
    • short_att: 37
    • int_att: 73
    • float_att: 73.0000000
    • double_att: 73.00000000000000
three_dmn_var[ lat= 0 ..1] [ lev= 0 ..2] [ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: three dimensional variable with CCM coordinate convention C=[lat,lev,lon], Fortran=(lon,lev,lat)
    • units: Fraction
three_dmn_var_crd[ lev= 0 ..2] [ lat= 0 ..1] [ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: three dimensional variable with COORDS coordinate convention C=[lev,lat,lon], Fortran=(lon,lat,lev)
    • units: Fraction
prs_sfc[ time= 0 ..9] [ lat= 0 ..1] [ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: Surface pressure
    • units: pascal
two_dmn_var[ lat= 0 ..1] [ lev= 0 ..2] (Grid of Float32 values)
  • attributes
    • long_name: two dimensional variable
    • units: Fraction
mask[ lat= 0 ..1] [ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: mask variable like ORO
    • units: Fraction
ORO[ lat= 0 ..1] [ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: Orography
    • units: Fraction
weight[ lat= 0 ..1] (Grid of Float32 values)
  • attributes
    • long_name: Gaussian weight
    • units: Fraction
gw[ lat= 0 ..1] (Grid of Float32 values)
  • attributes
    • long_name: gw variable like gw
    • units: Fraction
gw_T42[ lat_T42= 0 ..63] (Grid of Float32 values)
  • attributes
    • long_name: gw variable like gw_T42
    • units: Fraction
rec_var_flt[ time= 0 ..9] (Grid of Float32 values)
  • attributes
    • long_name: record variable, float
rec_var_dbl[ time= 0 ..9] (Grid of Float64 values)
  • attributes
    • long_name: record variable, double
one_dmn_rec_var[ time= 0 ..9] (Grid of Int32 values)
  • attributes
    • long_name: one dimensional record variable
    • units: second
tpt[ time= 0 ..9] (Grid of Float32 values)
  • attributes
    • long_name: Temperature
    • units: kelvin
    • hieght: Leave mispelled for NCO User's guide example
rec_var_dbl_mss_val_dbl_upk[ time= 0 ..9] (Grid of Float64 values)
  • attributes
    • long_name: record variable, double, with double missing values
    • 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.
    • missing_value: -999.0000000000000
rec_var_dbl_mss_val_dbl_pck[ time= 0 ..9] (Grid of Int16 values)
  • attributes
    • long_name: record variable, double, with double missing values, packed
    • purpose: Packed version of rec_var_dbl_mss_val_dbl_upk
    • missing_value: -999.0000000000000
    • scale_factor: -9.155413138017850e-05
    • add_offset: 5.000000000000000
rec_var_flt_mss_val_flt[ time= 0 ..9] (Grid of Float32 values)
  • attributes
    • long_name: record variable, float, with float missing values
    • missing_value: 9.99999962e+35
rec_var_flt_pck[ time= 0 ..9] (Grid of Int16 values)
  • attributes
    • long_name: record variable, float, packed
    • purpose: Demonstrate that rounding of means of packed data are handled correctly
    • scale_factor: 0.100000001
    • add_offset: 100.000000
rec_var_dbl_pck[ time= 0 ..9] (Grid of Int16 values)
  • attributes
    • long_name: record variable, double, packed
    • purpose: Demonstrate that rounding of means of packed data are handled correctly
    • scale_factor: 0.1000000000000000
    • add_offset: 100.0000000000000
rec_var_flt_mss_val_dbl[ time= 0 ..9] (Grid of Float32 values)
  • attributes
    • long_name: record variable, float, with double missing values
    • missing_value: 1.000000000000000e+36
rec_var_flt_mss_val_int[ time= 0 ..9] (Grid of Float32 values)
  • attributes
    • long_name: record variable, float, with integer missing values
    • missing_value: -999
rec_var_int_mss_val_int[ time= 0 ..9] (Grid of Int32 values)
  • attributes
    • long_name: record variable, integer, with integer missing values
    • missing_value: -999
rec_var_int_mss_val_flt[ time= 0 ..9] (Grid of Int32 values)
  • attributes
    • long_name: record variable, integer, with float missing values
    • missing_value: -999.000000
rec_var_int_mss_val_dbl[ time= 0 ..9] (Grid of Int32 values)
  • attributes
    • long_name: record variable, integer, with double missing values
    • missing_value: -999.0000000000000
rec_var_dbl_mss_val_dbl_pck_lng[ time= 0 ..9] (Grid of Int32 values)
  • attributes
    • long_name: record variable, double packed as long, with double missing values
    • purpose: although not usual, packing doubles into longs (rather than shorts) is still a considerable cost savings
    • missing_value: -999.0000000000000
    • scale_factor: -9.155413138017850e-05
    • add_offset: 5.000000000000000
one_dmn_rec_var_sng(Type is String)
  • attributes
    • long_name: one dimensional record variable of string
    • string_length: 10
time_lon[ time= 0 ..9] [ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: Record variable of longitude coordinate
two_dmn_rec_var_sng[ time= 0 ..9] (Grid of String values)
  • attributes
    • long_name: two dimensional record variable of string
    • string_length: 3
two_dmn_rec_var[ time= 0 ..9] [ lev= 0 ..2] (Grid of Float32 values)
  • attributes
    • long_name: two dimensional record variable
    • units: watt meter-2
three_dmn_rec_var[ time= 0 ..9] [ lat= 0 ..1] [ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: three dimensional record variable
    • units: watt meter-2
three_dmn_var_dbl[ time= 0 ..9] [ lat= 0 ..1] [ lon= 0 ..3] (Grid of Float64 values)
  • attributes
    • long_name: three dimensional record variable of type double
    • units: watt meter-2
    • missing_value: -99.00000000000000
three_dmn_var_int[ time= 0 ..9] [ lat= 0 ..1] [ lon= 0 ..3] (Grid of Int32 values)
  • attributes
    • long_name: three dimensional record variable of type int
    • units: watt meter-2
    • missing_value: -99
three_dmn_var_sht[ time= 0 ..9] [ lat= 0 ..1] [ lon= 0 ..3] (Grid of Int16 values)
  • attributes
    • long_name: three dimensional record variable
    • units: watt meter-2
    • missing_value: -99
four_dmn_rec_var[ time= 0 ..9] [ lat= 0 ..1] [ lev= 0 ..2] [ lon= 0 ..3] (Grid of Float32 values)
  • attributes
    • long_name: four dimensional record variable
    • units: watt meter-2
time_udunits[ time_udunits= 0 ..2] (Type is Float64)
  • attributes
    • units: hours since 1900-01-01 00:00:0.0
    • delta_t: 0000-00-00 06:00:0.0
u[ time= 0 ..9] (Grid of Float32 values)
  • attributes
    • long_name: Zonal wind speed
    • units: meter second-1
v[ time= 0 ..9] (Grid of Float32 values)
  • attributes
    • long_name: Meridional wind speed
    • units: meter second-1

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