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latGauWgt

Generates gaussian weights and associated metadata.

Prototype

load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"

	function latGauWgt (
		nlat     [1] : integer,  
		name     [1] : string,   
		longname [1] : string,   
		units    [1] : string    
	)

	return_val [*] :  float

Arguments

nlat

A scalar integer equal to the number of latitudes desired.

name

A string that will become the named dimension of the output (e.g. "lat").

longname

A string that will become the long_name of the output variable (e.g. "gaussian weights").

units

A string that will become the units of the output. Gaussian weights are dimemsionless. Setting units to "" (no space between the "") will result in no units attribute. The user may prefer to explicitly have a units attribute. If so, setting units to (say) "dimensionless" will result in an explicit units attribute.

Return value

A one-dimensional array of size nlat. Type float by default. If double precision is desired, set nlat@double = True prior to invoking the function.

Description

Generates gaussian weights and associated metadata.

See Also

latRegWgt, NormCosWgtGlobe, latGau, latGlobeF, latGlobeFo, lonGlobeF, lonGlobeFo, gaus

Examples

The following require that contributed.ncl be loaded prior to invoking the function. 

       load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
Example 1

Create a one dimensional array of gaussian weights. 

      nlat = 64
      gwt  = latGauWgt(nlat, "lat", "gaussian weights", "")
      print(gwt)
The above returns a 1D array of length nlat values. 
Variable: gwt
Type: float               [ double if nlat@double = True ] 
Total Size: 256 bytes
            64 values
Number of Dimensions: 1
Dimensions and sizes:   [lat | 64]
Number Of Attributes: 2
  long_name :   gaussian weights

(0)     0.001783281
(1)     0.004147033
(2)     0.006504458
(3)     0.00884676
(4)     0.01116814
[snip]
(28)    0.04799939
(29)    0.04834476
(30)    0.04857547
(31)    0.04869096
(32)    0.04869096
(33)    0.04857547
(34)    0.04834476
(35)    0.04799939
[snip]
(59)    0.01116814
(60)    0.00884676
(61)    0.006504458
(62)    0.004147033
(63)    0.001783281