data: CMC NWSA VALIDATION PCR ONE ESCENARIO1 PRECIPITACION

served from 129.236.110.25

CMC NWSA VALIDATION PCR ONE ESCENARIO1 PRECIPITACION: Probabilidades - Precipitación - Categorías data

CMC NWSA VALIDATION PCR ONE ESCENARIO1 PRECIPITACION.

Independent Variables (Grids)

Categorias: grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid
Forecast Lead Time in Months: grid: /L (months) ordered [ (1.5)] :grid
Hecho en (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Mar 2001) to (0000 1 Dec 2001) by 3.0 N= 4 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (98.86W) to (49.93W) by 0.4992857 N= 99 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (17.61N) to (11.22S) by 0.994138 N= 30 pts :grid

Other Info

bufferwordsize: 8
CE: 100
CS: 0
datatype: doublearraytype
missing_value: -1.0
pointwidth: 0
scale_max: 100.0
scale_min: 0.0
units: percent
standard units*: 0.01

Last updated: Sat, 07 Oct 2017 21:12:27 GMT
Expires: Sun, 05 Nov 2017 00:00:00 GMT

Data Views

	C	L	S	X	Y
CMC NWSA VALIDATION PCR ONE ESCENARIO1 PRECIPITACION 1.5 months[ 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
Differentiate along X Y C S
Take differences along X Y C S