root mean sq min ∂S [ NextGen CPT 1p0 Guatemala NCEP-CFSv2-Bash Forecast PredErrorVars ] : ∂S prediction error variance data
PredErrorVars partial_S min
∂S prediction error variance from NextGen CPT 1p0 Guatemala NCEP-CFSv2-Bash Forecast: Forecast and Error.
is
Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 256
- missing_value
- NaN
- pointwidth
- 0
- units
- 1.60751028806584×10-15 meter2 second-2 year-1
- history
- root mean sq min $partialdiff sub S$ [ NextGen CPT 1p0 Guatemala NCEP-CFSv2-Bash Forecast PredErrorVars ]
- min over X[94W, 87W]
Averaged over Y[11.5N, 19.5N] S[Jan 2019, Aug 2021] minimum 0.0% data present
Last updated: Fri, 10 Sep 2021 03:56:05 GMT
Expires: Wed, 09 Sep 2020 00:00:00 GMT
Filters
Here are some filters that are useful for manipulating data. There
are actually many more available, but they have to be entered
manually. See
Ingrid
Function Documentation for more information.
- Monthly Climatology calculates
a monthly climatology by averaging over all years.
- anomalies calculates the difference
between the (above) monthly climatology and the original data.
- Integrate along
- Differentiate along
- Take differences along
Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units