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root mean sq anom min [ S , min ∂X ( IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ) ] : Hecho en, ∂X Probabilidades - R0 - Categorías data
root mean sq anom min [ S , min ∂X ( IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ) ] .Independent Variables (Grids)
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Nov 2018) to (0000 1 Dec 2018) N= 2 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (125W) to (66.5W) by 0.5 N= 118 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (50.25N) to (23.75N) by 0.5 N= 54 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- fnname
- min
- gridid
- 175960336
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_reference_time
- units
- months since 1960-01-01
- standard units*
- 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )
- history
- root mean sq anom min [ S , min $partialdiff sub X$ ( IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ) ]
- min over S[0000 1 Nov 2018, 0000 1 Dec 2018]
Averaged over C[Below, Above] minimum 0.0% data present
- min over S[0000 1 Nov 2018, 0000 1 Dec 2018]
Last updated: Thu, 24 Jan 2019 03:12:42 GMT
Expires: Tue, 05 Feb 2019 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 | |
 IRI NOAA-VECTOR R0FCST[target_date
R0FCST_DJF20182019
PROBABILIDADES
] | |||
| grid: /X (degree_east) ordered (125.25W) to (66.25W) by 0.5 N= 119 pts :grid | O=0.25 | ||
|---|---|---|---|
| grid: /Y (degree_north) ordered (50.25N) to (23.75N) by 0.5 N= 54 pts :grid | M | ||
| grid: /C (ids) unordered [ (Below) (Normal) (Above)] :grid | |||
 root mean sq anom min [ S , min $partialdiff sub X$ ( IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ) ] [ S X Y |] | 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 X Y
- Differentiate along S X Y
- Take differences along S X Y
RMS (root mean square with mean *not* removed) over S X Y | S X S Y X Y | S X Y |
RMSA (root mean square with mean removed) over S X Y | S X S Y X Y | S X Y |
Maximum over S X Y | S X S Y X Y | S X Y |
Minimum over S X Y | S X S Y X Y | S X Y |
Detrend (best-fit-line) over S X Y | S X S Y X Y | S X Y |
Note on units