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∫dL max detrended-bfl max detrended-bfl detrended-bfl detrended-bfl ∂S [ IRI Forecast_old SST_CFSV2-PRECIP_GPCC History InputObs ] : ∂S input observations data
InputObs partial_S adif adif adif max adif max ∂S input observations from IRI Forecast_old SST_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill.Independent Variables (Grids)
- L
- grid: /L (months) ordered (1.0 months) to (4.0 months) by 1.0 N= 4 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (59.5W) to (52.5W) by 1.0 N= 8 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
- mm /month
- standard units*
- 0.012 meter year-1
- history
- $integral dL$ max detrended-bfl max detrended-bfl detrended-bfl detrended-bfl $partialdiff sub S$ [ IRI Forecast_old SST_CFSV2-PRECIP_GPCC History InputObs ]
- max over S[Jan 2015, Feb 2017]
max over Y[29.5S, 35.5S] T2[1982, 2013]
- max over S[Jan 2015, Feb 2017]
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 L
- Differentiate along X L
- Take differences along X L
RMS (root mean square with mean *not* removed) over X L | X L |
RMSA (root mean square with mean removed) over X L | X L |
Maximum over X L | X L |
Minimum over X L | X L |
Detrend (best-fit-line) over X L | X L |
Note on units