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min ∂S [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 xValPred ] : ∂S cross-validated data
min ∂S [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 xValPred ] .Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.125N) to (14.875N) by 0.25 N= 48 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- 400
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- min over S[Jan 1982, Nov 2008] X[33.125E, 47.875E]
Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Data Views
Views
line plots
color bars
scatter| L | Y | |
 min $partialdiff sub S$ [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 xValPred ] 2.5 months[ | Y L] | 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
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units