served from 129.236.110.25
root mean sq min [ ( OLE2 CPT ESCENARIO2 SPEARMANTMIN ) , min ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMAX ) ] : Spearman Temperatura Mínima , Probabilidades -Temperatura Máxima data
root mean sq min [ ( OLE2 CPT ESCENARIO2 SPEARMANTMIN ) , min ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMAX ) ] .Independent Variables (Grids)
- 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
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- fnname
- min
- missing_value
- NaN
- pointwidth
- 0
- units
- unitless
- history
- [ dominant_class ( OLE2 CPT ESCENARIO2 TMAX Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO2 TMAX ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO2 TMAX Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO2 TMAX ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMAX Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMAX ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMAX Sobre la Normal ]
dominant_class over TMAX[<35, >80]
- masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMAX ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 TMAX Sobre la Normal ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMAX Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMAX ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMAX Normal ]
dominant_class over TMAX[<35, >80]
- masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMAX ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 TMAX Normal ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMAX Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMAX ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMAX Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMAX ] - 1. } * 11. ) , 0 ]
- dominant_class [ OLE2 CPT ESCENARIO2 TMAX Bajo la Normal ]
dominant_class over TMAX[<35, >80]
- maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 TMAX ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 TMAX Bajo la Normal ]
- min over X[117.75W, 28.25W]
root mean sq min [ ( OLE2 CPT ESCENARIO2 SPEARMANTMIN ) , min ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMAX ) ]- Averaged over S[0000 1 Jan 2000, 0000 1 Dec 2025] minimum 0.0% data present
- [ dominant_class ( OLE2 CPT ESCENARIO2 TMAX Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO2 TMAX ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO2 TMAX Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO2 TMAX ) - 1. ] * 11. } , 10 , 12 ) ]
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
colors with land
contours with land
colors with coasts| X | Y | |
 OLE2 CPT ESCENARIO2[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 | M | |
|---|---|---|
| grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid | M | |
| grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Dec 2025) by 1.0 N= 312 pts :grid | ||
 root mean sq min [ ( OLE2 CPT ESCENARIO2 SPEARMANTMIN ) , min ( OLE2 CPT ESCENARIO2 PROBABILIDADESTMAX ) ] [ Y X |] | 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 Y X
- Differentiate along Y X
- Take differences along Y X
RMS (root mean square with mean *not* removed) over Y X | Y X |
RMSA (root mean square with mean removed) over Y X | Y X |
Maximum over Y X | Y X |
Minimum over Y X | Y X |
Detrend (best-fit-line) over Y X | Y X |
Note on units