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∂C ∫dS [ OLE2 CPT ESCENARIO1 TMED ] : ∂C Probabilidades -Temperatura Media - Categorías data
∂C ∫dS [ OLE2 CPT ESCENARIO1 TMED ] .Independent Variables (Grids)
- C
- grid: /C (ids) unordered [ () (mal)] :grid
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 16 Dec 1999) to (0000 16 Mar 2025) by 1.0 N= 304 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
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.000833333333333333 year /ids
Last updated: Thu, 06 Mar 2025 07:30:01 GMT
Expires: Sat, 05 Apr 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
OLE2 CPT ESCENARIO1[
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
RMS (root mean square with mean *not* removed) over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
RMSA (root mean square with mean removed) over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Maximum over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Minimum over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Detrend (best-fit-line) over X Y C S | X Y X C X S Y C Y S C S | X Y C X Y S X C S Y C S | X Y C S |
Note on units