served from 129.236.110.25
∂Y min [ S , min ( OLE2 CPT ESCENARIO1 ODDSTMAX ) ] : ∂Y Hecho en, ODDS Temperatura Máxima data
∂Y min [ S , min ( OLE2 CPT ESCENARIO1 ODDSTMAX ) ] .Independent Variables (Grids)
- Categorias
- grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Jan 2000) to (Nov 2025) by 1.0 N= 311 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (32.5N) to (62.5S) by 0.5 N= 191 pts :grid
Other Info
- calendar
- 360
- datatype
- realarraytype
- fnname
- min
- gridid
- 175495832
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_reference_time
- units
- 4.77464829275686 radian-1 north year
- history
- min over X[117.75W, 28.25W] S[0000 1 Jan 2000, 0000 1 Dec 2025]
Last updated: Sat, 06 Dec 2025 07:30:02 GMT
Expires: Mon, 05 Jan 2026 00:00:00 GMT
Data Views
Views
data as colors
data as contours| C | S | Y | |
 OLE2 CPT ESCENARIO1[SPEARMANWET
AFC
PROPENSIONTMAX
SPEARMANTMAX
PROPENSIONTMIN
BELOWWET
ODDSTMED
ABOVEWET
WETDAY
target_date
AFCWET
ABOVETMIN
AFCTMED
PROBABILIDADESTMAX
TMAX
AFCTMAX
PROPENSIONWETDAYS
ODDSWETDAYS
ABOVETMED
ODDS
PROPENSIONTMED
PROBABILIDADESTMIN
ABOVE
AFCTMIN
ABOVETMAX
ODDSTMIN
ODDSTMAX
PROBABILIDADES
PROPENSION
PROBABILIDADESTMED
BELOWTMAX
TMED
BELOW
SPEARMAN
SPEARMANTMED
BELOWTMIN
TMIN
PROBABILIDADESWETDAYS
BELOWTMED
PRECIPITACION
SPEARMANTMIN
] | |||
| grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid | |||
| grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid | O=-0.25 | ||
| grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid | M | ||
 $partialdiff sub Y$ min [ S , min ( OLE2 CPT ESCENARIO1 ODDSTMAX ) ] [ | S Y C] | 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 S Y C
- Differentiate along S Y C
- Take differences along S Y C
RMS (root mean square with mean *not* removed) over S Y C | S Y S C Y C | S Y C |
RMSA (root mean square with mean removed) over S Y C | S Y S C Y C | S Y C |
Maximum over S Y C | S Y S C Y C | S Y C |
Minimum over S Y C | S Y S C Y C | S Y C |
Detrend (best-fit-line) over S Y C | S Y S C Y C | S Y C |
Note on units