root mean sq ∫dS ∫dX [ ICPAC Forecasts CPT Rainfall Seasonal History InputObs ] : input observations data
InputObs int_dX int_dS input observations from ICPAC Forecasts CPT Rainfall Seasonal History: Predictand, Hindcast and Skill.
Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S
- grid: /S (months since 1960-01-01) ordered (0000 16 Dec 1981) to (0000 16 Dec 2011) by 1.0 N= 361 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
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.45444104332861×10-06 meter radian east year
- history
- Averaged over Y[11.625S, 23.125N] minimum 0.0% data present
Last updated: Thu, 25 Feb 2021 08:46:12 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 S
X
- Differentiate along S
X
- Take differences along S
X
Average over
S
X
|
S X
|
RMS (root mean square with mean *not* removed) over
S
X
|
S X
|
RMSA (root mean square with mean removed) over
S
X
|
S X
|
Maximum over
S
X
|
S X
|
Minimum over
S
X
|
S X
|
Detrend (best-fit-line) over
S
X
|
S X
|
Note on units