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∫dT2 ∂Y ∂S [ IRI Forecast_old SST_CFSV2-PRECIP_GPCC History InputObs ] : ∂Y ∂S input observations data
InputObs partial_S partial_Y ∂Y ∂S input observations from IRI Forecast_old SST_CFSV2-PRECIP_GPCC History: Predicand, Hindcast and Skill.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered (1.5 months) to (3.5 months) by 1.0 N= 3 pts :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Jan 2015) to (Feb 2017) by 1.0 N= 26 pts :grid
- T2
- grid: /T2 (months since 1960-01-01) ordered (0000 1 Jan 1982) to (0000 1 Jan 2014) by 12.0 N= 33 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (59.5W) to (52.5W) by 1.0 N= 8 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (30S) to (35S) by 1.0 N= 6 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 3.0
- units
- 0.687549354156987 meter radian-1 north year-1
Last updated: Wed, 08 Mar 2017 14:24:39 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | S | T2 | X | Y | |
 $integral dT2$ $partialdiff sub Y$ $partialdiff sub S$ [ IRI Forecast_old SST_CFSV2-PRECIP_GPCC History InputObs ] [ X Y T2 | S L] | M | M | M | M | M |
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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 Y T2 S L
- Differentiate along X Y T2 S L
- Take differences along X Y T2 S L
RMS (root mean square with mean *not* removed) over X Y T2 S L | X Y X T2 X S X L Y T2 Y S Y L T2 S T2 L S L | X Y T2 X Y S X Y L X T2 S X T2 L X S L Y T2 S Y T2 L Y S L T2 S L | X Y T2 S X Y T2 L X Y S L X T2 S L Y T2 S L | X Y T2 S L |
RMSA (root mean square with mean removed) over X Y T2 S L | X Y X T2 X S X L Y T2 Y S Y L T2 S T2 L S L | X Y T2 X Y S X Y L X T2 S X T2 L X S L Y T2 S Y T2 L Y S L T2 S L | X Y T2 S X Y T2 L X Y S L X T2 S L Y T2 S L | X Y T2 S L |
Maximum over X Y T2 S L | X Y X T2 X S X L Y T2 Y S Y L T2 S T2 L S L | X Y T2 X Y S X Y L X T2 S X T2 L X S L Y T2 S Y T2 L Y S L T2 S L | X Y T2 S X Y T2 L X Y S L X T2 S L Y T2 S L | X Y T2 S L |
Minimum over X Y T2 S L | X Y X T2 X S X L Y T2 Y S Y L T2 S T2 L S L | X Y T2 X Y S X Y L X T2 S X T2 L X S L Y T2 S Y T2 L Y S L T2 S L | X Y T2 S X Y T2 L X Y S L X T2 S L Y T2 S L | X Y T2 S L |
Detrend (best-fit-line) over X Y T2 S L | X Y X T2 X S X L Y T2 Y S Y L T2 S T2 L S L | X Y T2 X Y S X Y L X T2 S X T2 L X S L Y T2 S Y T2 L Y S L T2 S L | X Y T2 S X Y T2 L X Y S L X T2 S L Y T2 S L | X Y T2 S L |
Note on units