root mean sq root mean sq anom [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p25 RAYOS ] : Probabilidades - Rayos - CategorÃas data
root mean sq root mean sq anom [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p25 RAYOS ] .
Independent Variables (Grids)
- Categorias
- grid: /C (ids) unordered [ (Bajo) (Normal) (Sobre)] :grid
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (1.5)] :grid
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2013) to (0000 1 Dec 2013) by 1.0 N= 12 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -1.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- percent
- standard units*
- 0.01
- history
- root mean sq root mean sq anom [ CMC CATATUMBO BIMESTRE speedCAPE LISOTD-0p25 RAYOS ]
- Averaged over X[94.875W, 57.125W] minimum 0.0% data present
Averaged over Y[3N, 25N] minimum 0.0% data present
Last updated: Fri, 09 Jun 2017 05:45:14 GMT
Expires: Wed, 05 Jul 2017 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 C
S
- Differentiate along C
S
- Take differences along C
S
Average over
C
S
|
C S
|
RMS (root mean square with mean *not* removed) over
C
S
|
C S
|
RMSA (root mean square with mean removed) over
C
S
|
C S
|
Maximum over
C
S
|
C S
|
Minimum over
C
S
|
C S
|
Detrend (best-fit-line) over
C
S
|
C S
|
Note on units