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detrended-bfl min detrended-bfl ∫dS ∂Y ∂X detrended-bfl ∫dS [ IRI Forecast_old SST_ECHAM-PRECIP_GPCC History 2AFC ] : ∂Y ∂X 2AFC data
2AFC int_dS adif partial_X partial_Y int_dS adif min ∂Y ∂X 2AFC from IRI Forecast_old SST_ECHAM-PRECIP_GPCC History: Predicand, Hindcast and Skill.Independent Variables (Grids)
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Dec 2014) to (0000 1 Apr 2017) by 1.0 N= 29 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (59W) to (53W) by 1.0 N= 7 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 3.0
- units
- 22.797266319526 radian-2 east year2
- history
- min over Y[30S, 35S] L[1.5 months, 3.5 months]
Last updated: Wed, 08 Mar 2017 14:24:39 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars
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 S
- Differentiate along X S
- Take differences along X S
RMS (root mean square with mean *not* removed) over X S | X S |
RMSA (root mean square with mean removed) over X S | X S |
Maximum over X S | X S |
Minimum over X S | X S |
Detrend (best-fit-line) over X S | X S |
Note on units