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max ∂S root mean sq anom [ ICPAC Forecasts CPT Rainfall Seasonal History CrossValHind ] : ∂S cross-validated hindcasts data
CrossValHind CrossValHind partial_S ∂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
- Longitude (longitude)
- grid: /X (degree_east) ordered (22E) to (51.25E) by 0.25 N= 118 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- max $partialdiff sub S$ root mean sq anom [ ICPAC Forecasts CPT Rainfall Seasonal History CrossValHind ]
- Averaged over Y[11.5S, 23N] minimum 0.0% data present
max over S[Jan 1982, Nov 2011]
- Averaged over Y[11.5S, 23N] minimum 0.0% data present
Last updated: Thu, 25 Feb 2021 08:46:12 GMT
Data Views
Views
line plots
color bars
scatter| L | X | |
 max $partialdiff sub S$ root mean sq anom [ ICPAC Forecasts CPT Rainfall Seasonal History CrossValHind ] 2.5 months[ X | L] | M | M |
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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
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units