data: IRI Forecast_old QV850_ECHAM-PRECIP

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IRI Forecast_old QV850_ECHAM-PRECIP_GPCC Forecast ProbForecast: Tercile Probability data

Tercile Probability from IRI Forecast_old QV850_ECHAM-PRECIP_GPCC Forecast: Forecast and Error.

Independent Variables (Grids)

Tercile Classes: grid: /C (ids) unordered [ (Debajo de lo Normal) (Normal) (Superior a lo Normal)] :grid
Forecast Lead Time in Months: grid: /L (months) ordered (1.5 months) to (3.5 months) by 1.0 N= 3 pts :grid
Forecast Issue Date (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2015) to (0000 1 Mar 2017) by 1.0 N= 27 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (59.5W) to (52.5W) by 1.0 N= 8 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (29.5S) to (35.5S) by 1.0 N= 7 pts :grid

Other Info

bufferwordsize: 8
CE: 100
colorscalename: tercileclassesscale
CS: 0
datatype: doublearraytype
maxncolor: 254
missing_value: -1.0
pointwidth: 3.0
scale_max: 100.0
scale_min: 0.0
units: percent
standard units*: 0.01
colorscale

Last updated: Wed, 08 Mar 2017 14:24:39 GMT

Data Views

	C	L	S	X	Y
IRI Forecast_old QV850_ECHAM-PRECIP_GPCC Forecast ProbForecast[ X Y C \| S L]	M	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 X Y C S L
Differentiate along X Y C S L
Take differences along X Y C S L