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min ∫dL mean ∂S max detrended-bfl ∫dS ∂Y [ IRI Forecast_old SST_OBS-PRECIP_GPCC Forecast Forecast ] : ∂S ∂Y current forecast data
Forecast partial_Y int_dS adif max partial_S partial_S int_dL ∂S ∂Y current forecast from IRI Forecast_old SST_OBS-PRECIP_GPCC Forecast: Forecast and Error. isIndependent Variables (Grids)
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
- 0.0572957795130823 meter radian-1 north
- history
- $integral dL$ mean $partialdiff sub S$ max detrended-bfl $integral dS$ $partialdiff sub Y$ [ IRI Forecast_old SST_OBS-PRECIP_GPCC Forecast Forecast ] 4.0 months
- max over Y[30S, 35S]
Averaged over S[16 Dec 2014 - 15 Jan 2015, 16 Feb 2017 - 15 Mar 2017] minimum 0.0% data present
min $integral dL$ mean $partialdiff sub S$ max detrended-bfl $integral dS$ $partialdiff sub Y$ [ IRI Forecast_old SST_OBS-PRECIP_GPCC Forecast Forecast ]- min over X[59.5W, 52.5W] L[1.0 months, 4.0 months]
- max over Y[30S, 35S]
Last updated: Wed, 08 Mar 2017 14:24:39 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units