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∫dY max ∂S [ ICPAC Forecasts CPT Rainfall Seasonal History CrossValHind ] : ∂S cross-validated hindcasts data
CrossValHind partial_S max ∂S cross-validated hindcasts 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
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.625S) to (23.125N) by 0.25 N= 140 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
- 0.00020943951023932 meter radian north year-1
- history
- max over S[Jan 1982, Nov 2011] X[22E, 51.25E]
Last updated: Thu, 25 Feb 2021 08:46:12 GMT
Data Views
Views
line plots
color bars
scatter| L | Y | |
 $integral dY$ max $partialdiff sub S$ [ ICPAC Forecasts CPT Rainfall Seasonal History CrossValHind ] 2.5 months[ | Y L] | M | M |
|---|
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
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