served from 129.236.110.25
root mean sq root mean sq anom ∫dS [ OLE2 CPT ESCENARIO2 WETDAY ] : Probabilidades -Días Lluviosos - Categorías data
root mean sq root mean sq anom ∫dS [ OLE2 CPT ESCENARIO2 WETDAY ] .Independent Variables (Grids)
- 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
- 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
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.000833333333333333 year
- history
- root mean sq root mean sq anom $integral dS$ [ OLE2 CPT ESCENARIO2 WETDAY ]
- Averaged over X[117.75W, 28.25W] minimum 0.0% data present
Averaged over C[Bajo la Normal, Sobre la Normal] minimum 0.0% data present
- Averaged over X[117.75W, 28.25W] minimum 0.0% data present
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
OLE2 CPT ESCENARIO2[
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 S
- Differentiate along Y S
- Take differences along Y S
RMS (root mean square with mean *not* removed) over Y S | Y S |
RMSA (root mean square with mean removed) over Y S | Y S |
Maximum over Y S | Y S |
Minimum over Y S | Y S |
Detrend (best-fit-line) over Y S | Y S |
Note on units