data: IRI CPT SONDv5 total_rainfall Forecast TercProb Above

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IRI CPT SONDv5 total_rainfall Forecast TercProb Above_Normal: Tercile Probabilities data

TercProb TercProb TercProb Tercile Probabilities from IRI CPT SONDv5 total_rainfall Forecast: Forecast and Error.

Variables Independientes (Grillas)

Start time (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Aug 2015) to (0000 1 Aug 2018) by 12.0 N= 4 pts :grid
TercProb: grid: /TercProb (ids) unordered [ (<35) (35-40) (40-45) (45-50) (50-55) (55-60) (60-65) (65-70) (70-75) (75-80) (>80)] :grid
Longitude (longitude): grid: /X (degree_east) ordered (28.5375E) to (30.975E) by 0.0375 N= 66 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (2.9625S) to (1.05S) by 0.0375 N= 52 pts :grid

Otra Info

CE: 1
colorscalename: halfgreyscale
CS: 0
datatype: realarraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
scale_max: 1.0
scale_min: 0
units: unitless
valid_max: 1.0
valid_min: 0
history: percentiles computed over S:Aug 1982 - Jul 2017 0% min data present
colorscale

Última Actualización: Wed, 11 Dec 2019 13:31:54 GMT
Expira: Sat, 01 Aug 2020 00:00:00 GMT

Data Views

	S	TercProb	X	Y
IRI CPT SONDv5 total_rainfall Forecast TercProb Above_Normal[ TercProb X Y \| S]	M	M	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 TercProb X Y S
Differentiate along TercProb X Y S
Take differences along TercProb X Y S