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min [ IRI CPT SOND Forecast TercProb ]: Tercile Probabilities data
TercProb Tercile Probabilities from IRI CPT SOND Forecast: Forecast and Error.Independent Variables (Grids)
- Start time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Aug 2015) to (0000 1 Aug 2016) N= 2 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.525E) to (30.975E) by 0.05000002 N= 50 pts :grid
Other Info
- CE
- 100
- colorscalename
- tercileclassesscale
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- scale_max
- 100.0
- scale_min
- 0.0
- units
- percent
- standard units*
- 0.01
- history
- min [ IRI CPT SOND Forecast TercProb ]
- percentiles computed over S:Aug 1982 - Jul 2014 0% min data present
min over Y[2.975S, 1.025S] C[Below_Normal, Above_Normal]
- percentiles computed over S:Aug 1982 - Jul 2014 0% min data present
- colorscale
Last updated: Wed, 11 Dec 2019 13:31:54 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| S | X | |
 min [ IRI CPT SOND Forecast TercProb ][ X S |] | 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 S
- Differentiate along X S
- Take differences along X S
RMS (root mean square with mean *not* removed) over X S | X S |
RMSA (root mean square with mean removed) over X S | X S |
Maximum over X S | X S |
Minimum over X S | X S |
Detrend (best-fit-line) over X S | X S |
Note on units