mean ∫dX [ ICPAC Forecasts CPT Rainfall Seasonal Forecast Forecast ] : forecast data
Forecast int_dX 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
- Forecast Issue Date (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Feb 2001) to (0000 1 Feb 2020) by 1.0 N= 229 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.875E) to (51.375E) by 0.25 N= 119 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.74532925199433×10-05 meter radian east
- history
- Averaged over Y[11.625S, 23.125N] 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 X
S
- Differentiate along X
S
- Take differences along X
S
Average over
X
S
|
X S
|
RMS (root mean square with mean *not* removed) over
X
S
|
X S
|
RMSA (root mean square with mean removed) over
X
S
|
X S
|
Maximum over
X
S
|
X S
|
Minimum over
X
S
|
X S
|
Detrend (best-fit-line) over
X
S
|
X S
|
Note on units