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∂S [ NextGen CPT 1p0 Guatemala COLA-RSMAS-CCSM4 Forecast PredErrorVars ]: ∂S prediction error variance data
PredErrorVars ∂S prediction error variance from NextGen CPT 1p0 Guatemala COLA-RSMAS-CCSM4 Forecast: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Jan 2019) to (Aug 2021) by 1.0 N= 32 pts :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (94W) to (87W) by 1.0 N= 8 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (12N) to (19N) by 1.0 N= 8 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
- 1.60751028806584×10-15 meter2 second-2 year-1
Last updated: Fri, 10 Sep 2021 03:56:00 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| L | S | X | Y | |
 $partialdiff sub S$ [ NextGen CPT 1p0 Guatemala COLA-RSMAS-CCSM4 Forecast PredErrorVars ] 2.5 months[ X Y | S L] | M | M | 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 Y S
- Differentiate along X Y S
- Take differences along X Y S
RMS (root mean square with mean *not* removed) over X Y S | X Y X S Y S | X Y S |
RMSA (root mean square with mean removed) over X Y S | X Y X S Y S | X Y S |
Maximum over X Y S | X Y X S Y S | X Y S |
Minimum over X Y S | X Y X S Y S | X Y S |
Detrend (best-fit-line) over X Y S | X Y X S Y S | X Y S |
Note on units