data: CMC NWSA VALIDATION CCA FIVE ESCENARIO1 ODDS

served from 129.236.110.25

CMC NWSA VALIDATION CCA FIVE ESCENARIO1 ODDS: ODDS data

CMC NWSA VALIDATION CCA FIVE ESCENARIO1 ODDS.

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: 1
CS: 0
datatype: doublearraytype
missing_value: -999.0
pointwidth: 0
scale_max: 1.0
scale_min: 0.0
units: percent
standard units*: 0.01

Last updated: Tue, 21 Nov 2023 19:17:31 GMT
Expires: Tue, 05 Dec 2023 00:00:00 GMT

Data Views

	C	L	S	X	Y
CMC NWSA VALIDATION CCA FIVE ESCENARIO1[PRECIPITACION BELOW ABOVE target_date SPEARMAN 2AFC ODDS PROBABILIDADES PROPENSION ]
CMC NWSA VALIDATION CCA FIVE ESCENARIO1 ODDS 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