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root mean sq anom ∂X root mean sq [ ICPAC Forecasts CPT Rainfall Seasonal Forecast Forecast ] : ∂X forecast data
Forecast Forecast partial_X ∂X forecast from ICPAC Forecasts CPT Rainfall Seasonal 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 (22.125E) to (51.125E) by 0.25 N= 117 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 east
- history
- root mean sq anom $partialdiff sub X$ root mean sq [ ICPAC Forecasts CPT Rainfall Seasonal Forecast Forecast ]
- Averaged over S[0000 1 Feb 2001, 0000 1 Feb 2020] minimum 0.0% data present
Averaged over Y[11.5S, 23N] minimum 0.0% data present
- Averaged over S[0000 1 Feb 2001, 0000 1 Feb 2020] minimum 0.0% data present
Last updated: Thu, 25 Feb 2021 08:46:12 GMT
Expires: Tue, 09 Mar 2021 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter
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