min root mean sq anom [ ICPAC Forecasts CPT Rainfallv2 Seasonal History CrossValHind ] : cross-validated hindcasts data
CrossValHind CrossValHind cross-validated hindcasts from ICPAC Forecasts CPT Rainfallv2 Seasonal History: Predictand, Hindcast and Skill.
Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (13.5S) to (24.5N) by 0.5 N= 77 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- mm
- standard units*
- 0.001 meter
- history
- min root mean sq anom [ ICPAC Forecasts CPT Rainfallv2 Seasonal History CrossValHind ]
- Averaged over X[20.5E, 53E] minimum 0.0% data present
min over S[0000 1 Jan 1982, 0000 1 Dec 2016]
Last updated: Wed, 12 May 2021 17:45:02 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 Y
- Differentiate along Y
- Take differences along Y
Average over
Y
|
RMS (root mean square with mean *not* removed) over
Y
|
RMSA (root mean square with mean removed) over
Y
|
Maximum over
Y
|
Minimum over
Y
|
Detrend (best-fit-line) over
Y
|
Note on units