netcdf classic (CDF-1) {
dimensions:
	Y = 13 ;
	X = 16 ;
	S = 5 ;
	L = 3 ;
variables:
	float Y(Y) ;
		Y:standard_name = "latitude" ;
		Y:gridtype = 0 ;
		Y:units = "degree_north" ;
	float X(X) ;
		X:standard_name = "longitude" ;
		X:pointwidth = 0.5 ;
		X:gridtype = 0 ;
		X:units = "degree_east" ;
	float S(S) ;
		S:calendar = "360" ;
		S:gridtype = 0 ;
		S:units = "months since 1960-01-01" ;
	float L(L) ;
		L:pointwidth = 3.0 ;
		L:long_name = "Forecast Lead Time in Months" ;
		L:gridtype = 0 ;
		L:units = "months" ;
	double int_dL(L, S, Y, X) ;
		int_dL:pointwidth = 3.0 ;
		int_dL:file_missing_value = -999.0 ;
		int_dL:missing_value = nan ;
		int_dL:long_name = "$partialdiff sub S$ $partialdiff sub L$ prediction error variance" ;
		int_dL:units = "mm/month" ;
// Y: first -29.5, last -35.5, count 13
// X: first -59.75, last -52.25, count 16
// S: first 633.0, last 645.75, count 5
// L: first 2.5, last 4.5, count 3
}