root mean sq anom root mean sq ∂S ∫dY [ OLE2 CPT ESCENARIO2 PROPENSIONWETDAYS ] : ∂S Propensión - Días Lluviosos data
root mean sq anom root mean sq
∂S ∫dY [ OLE2 CPT ESCENARIO2 PROPENSIONWETDAYS ] .
Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- halfgreyscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 0
- fnname
- maskle
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- ids degree_north /months
- history
- [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal ]
dominant_class over ODDSWETDAYS[0, >9.0]
- masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Normal ]
dominant_class over ODDSWETDAYS[0, >9.0]
- masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 0 ]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Bajo la Normal ]
dominant_class over ODDSWETDAYS[0, >9.0]
- maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
root mean sq $partialdiff sub S$ $integral dY$ [ OLE2 CPT ESCENARIO2 PROPENSIONWETDAYS ] 16 Mar 2025 - 15 Apr 2025- Averaged over Y[63S, 33N] minimum 0.0% data present
root mean sq anom root mean sq $partialdiff sub S$ $integral dY$ [ OLE2 CPT ESCENARIO2 PROPENSIONWETDAYS ] - Averaged over S[16 Jan 2000 - 15 Feb 2000, 16 Mar 2025 - 15 Apr 2025] minimum 0.0% data present
Last updated: Tue, 06 May 2025 06:30:01 GMT
Expires: Thu, 05 Jun 2025 00:00:00 GMT
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
- Differentiate along X
- Take differences along X
Average over
X
|
RMS (root mean square with mean *not* removed) over
X
|
RMSA (root mean square with mean removed) over
X
|
Maximum over
X
|
Minimum over
X
|
Detrend (best-fit-line) over
X
|
Note on units