served from IRI/LDEO Climate Data Library
ANACIM CPT NextGen ENACTSPRCP_NMME_C3S NextGen Forecasts var: prediction error variance data
prediction error variance from ANACIM CPT NextGen ENACTSPRCP_NMME_C3S NextGen Forecasts: Forecast and Error.Independent Variables (Grids)
- Start time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jun 2020) to (0000 1 Jun 2021) by 1.0 N= 13 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (18.075W) to (10.725W) by 0.0375 N= 197 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.7N) to (17.2875N) by 0.03750001 N= 150 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 256
- missing_value
- -999.0
- pointwidth
- 0
- scale_min
- 0.0
- units
- mm2 /day2
- standard units*
- 1.33959190672154×10-16 meter2 second-2
Last updated: Wed, 15 Sep 2021 09:36:26 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| S | X | Y | |
 ANACIM CPT NextGen ENACTSPRCP_NMME_C3S NextGen Forecasts var[ X Y | S] | 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