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min root mean sq detrended-bfl ∂S ∂L ∫dS ∫dY [ IRI Forecast_old SST_ECHAM-PRECIP_GPCC History 2AFC ] : ∂S ∂L 2AFC data
2AFC 2AFC int_dY int_dS partial_L partial_S adif adif ∂S ∂L 2AFC from IRI Forecast_old SST_ECHAM-PRECIP_GPCC History: Predicand, Hindcast and Skill.Independent Variables (Grids)
- L
- grid: /L (months) ordered (2.0 months) to (3.0 months) N= 2 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
- 0.20943951023932 radian north year-1
- history
- min root mean sq detrended-bfl $partialdiff sub S$ $partialdiff sub L$ $integral dS$ $integral dY$ [ IRI Forecast_old SST_ECHAM-PRECIP_GPCC History 2AFC ]
- Averaged over S[16 Dec 2014 - 15 Jan 2015, 16 Feb 2017 - 15 Mar 2017] minimum 0.0% data present
min over X[59.5W, 52.5W] Y[29.5S, 35.5S]
- Averaged over S[16 Dec 2014 - 15 Jan 2015, 16 Feb 2017 - 15 Mar 2017] minimum 0.0% data present
Last updated: Wed, 08 Mar 2017 14:24:39 GMT
Data Views
Views
line plots
color bars
scatter
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 L
- Differentiate along L
- Take differences along L
RMS (root mean square with mean *not* removed) over L |
RMSA (root mean square with mean removed) over L |
Maximum over L |
Minimum over L |
Detrend (best-fit-line) over L |
Note on units