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max ∂X [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PredErrorVars ] : ∂X prediction error variance data
PredErrorVars partial_X ∂X prediction error variance from NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (93.5W) to (87.5W) by 1.0 N= 7 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 256
- missing_value
- NaN
- pointwidth
- 0
- units
- 7.67529625250267×10-15 meter2 radian-1 east second-2
- history
- max over Y[12N, 19N] S[0000 1 Jan 2019, 0000 1 Jul 2019]
Last updated: Fri, 10 Apr 2020 20:38:10 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter| L | X | |
 max $partialdiff sub X$ [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PredErrorVars ] 2.5 months[ X | L] | M | M |
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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 X
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units