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∂Y min [ S , min root mean sq anom ( IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ) ] : ∂Y Hecho en, Probabilidades - R0 - Categorías data
∂Y min [ S , min root mean sq anom ( IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ) ] .Independent Variables (Grids)
- Categorias
- grid: /C (ids) unordered [ (Below) (Normal) (Above)] :grid
- 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
- Latitude (latitude)
- grid: /Y (degree_north) ordered (50N) to (24N) by 0.5 N= 53 pts :grid
Other Info
- calendar
- 360
- datatype
- realarraytype
- fnname
- min
- gridid
- 175960336
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_reference_time
- units
- 4.77464829275686 radian-1 north year
- history
- min root mean sq anom [ IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ]
- Averaged over X[125.25W, 66.25W] minimum 0.0% data present
min over S[0000 1 Nov 2018, 0000 1 Dec 2018]
- Averaged over X[125.25W, 66.25W] minimum 0.0% data present
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
line plots
color bars| C | S | 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 | |||
| grid: /Y (degree_north) ordered (50.25N) to (23.75N) by 0.5 N= 54 pts :grid | O=-0.25 | ||
| grid: /C (ids) unordered [ (Below) (Normal) (Above)] :grid | M | ||
 $partialdiff sub Y$ min [ S , min root mean sq anom ( IRI NOAA-VECTOR R0FCST R0FCST_DJF20182019 ) ] [ | S Y C] | 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 Y C
- Differentiate along S Y C
- Take differences along S Y C
RMS (root mean square with mean *not* removed) over S Y C | S Y S C Y C | S Y C |
RMSA (root mean square with mean removed) over S Y C | S Y S C Y C | S Y C |
Maximum over S Y C | S Y S C Y C | S Y C |
Minimum over S Y C | S Y S C Y C | S Y C |
Detrend (best-fit-line) over S Y C | S Y S C Y C | S Y C |
Note on units