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min ∂S [ CMC NWSA VALIDATION CCA THREE ESCENARIO5 2AFC ] : ∂S 2AFC Precipitation data
min ∂S [ CMC NWSA VALIDATION CCA THREE ESCENARIO5 2AFC ] .Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (1.5)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Mar-May 2001) to (Sep-Nov 2001) by 3.0 N= 3 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.11293N) to (10.72293S) by 0.9941379 N= 29 pts :grid
Other Info
- CE
- 100.0
- CS
- 0.0
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 12 year-1
- history
- min over X[98.86W, 49.93W]
Last updated: Thu, 05 Oct 2017 21:11:57 GMT
Expires: Sun, 05 Nov 2017 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| L | S | Y | |
 min $partialdiff sub S$ [ CMC NWSA VALIDATION CCA THREE ESCENARIO5 2AFC ] 1.5 months[ Y | S L] | 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 Y S
- Differentiate along Y S
- Take differences along Y S
RMS (root mean square with mean *not* removed) over Y S | Y S |
RMSA (root mean square with mean removed) over Y S | Y S |
Maximum over Y S | Y S |
Minimum over Y S | Y S |
Detrend (best-fit-line) over Y S | Y S |
Note on units