mean ∫dY ∫dS [ ICPAC Forecasts CPT Rainfall Seasonal Forecast Forecast ] : forecast data
Forecast int_dS int_dY forecast from ICPAC Forecasts CPT Rainfall Seasonal 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
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.45444104332861×10-06 meter radian north year
- history
- Averaged over X[21.875E, 51.375E] Y[11.625S, 23.125N] S[0000 16 Jan 2001, 0000 16 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
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