served from 129.236.110.25
∫dX [ OLE2 CPT ESCENARIO1 BELOWTMED ]: ROC ( Bajo ) - Temperatura Media data
∫dX [ OLE2 CPT ESCENARIO1 BELOWTMED ].Independent Variables (Grids)
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Mar 2025) by 1.0 N= 303 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (118W) to (28W) by 0.5 N= 181 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
- missing_value
- NaN
- pointwidth
- 0
- units
- degree_east
- standard units*
- 0.0174532925199433 radian east
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| S | X | Y | |
 OLE2 CPT ESCENARIO1[AFCTMAX
PROBABILIDADESTMIN
ABOVEWET
BELOWTMED
TMAX
PROBABILIDADESTMAX
AFCWET
ODDSWETDAYS
PROPENSIONWETDAYS
SPEARMAN
AFCTMED
PROPENSIONTMED
SPEARMANTMIN
BELOWWET
ABOVETMAX
ABOVETMIN
BELOWTMAX
ABOVE
ODDS
ODDSTMAX
ODDSTMIN
AFC
BELOWTMIN
SPEARMANTMED
PROPENSION
TMED
PROBABILIDADESTMED
PROPENSIONTMIN
SPEARMANTMAX
TMIN
BELOW
PROBABILIDADES
WETDAY
AFCTMIN
PROPENSIONTMAX
PRECIPITACION
SPEARMANWET
ODDSTMED
ABOVETMED
PROBABILIDADESWETDAYS
target_date
] | |||
| grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid | O=-0.25 | ||
|---|---|---|---|
| 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 Mar 2025) by 1.0 N= 303 pts :grid | M | ||
| OLE2 CPT ESCENARIO1 SPEARMAN[ X Y | S] | M | O=-0.25 | M |
 $integral dX$ [ OLE2 CPT ESCENARIO1 BELOWTMED ][ X Y | S] | 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 S
- Differentiate along X Y S
- Take differences along X Y S
RMS (root mean square with mean *not* removed) over X Y S | X Y X S Y S | X Y S |
RMSA (root mean square with mean removed) over X Y S | X Y X S Y S | X Y S |
Maximum over X Y S | X Y X S Y S | X Y S |
Minimum over X Y S | X Y X S Y S | X Y S |
Detrend (best-fit-line) over X Y S | X Y X S Y S | X Y S |
Note on units