data: OLE2 CPT ESCENARIO1 ODDSTMIN

served from 129.236.110.25

OLE2 CPT ESCENARIO1 ODDSTMIN: ODDS Temperatura Mínima data

OLE2 CPT ESCENARIO1 ODDSTMIN.

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 [ (2.5)] :grid
Hecho en (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Dec 2024) by 1.0 N= 300 pts :grid
Longitud (longitude): grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 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: Fri, 06 Dec 2024 07:30:01 GMT
Expires: Sun, 05 Jan 2025 00:00:00 GMT

Data Views

	C	L	S	X	Y
OLE2 CPT ESCENARIO1 ODDSTMIN 2.5 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