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root mean sq anom [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb ]: Tercile Probabilities data
TercProb Tercile Probabilities from Hydromet Seasonal_Forecast Precipitation Forecast: Forecast, Error and Skill. isIndependent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- tercileclassesscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -1.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- percent
- standard units*
- 0.01
- history
- Averaged over X[61.525W, 56.475W] Y[1.025N, 8.525N] C[Below_Normal, Above_Normal] S[0000 1 Apr 2019, 0000 1 Aug 2021] minimum 0.0% data present
Last updated: Fri, 12 Jan 2024 14:16:35 GMT
Expires: Fri, 09 Feb 2024 00:00:00 GMT
Data Views
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 root mean sq anom [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb ] 2.5 months[ | L] | 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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units