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root mean sq detrended-bfl ∫dX [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 xValPred ] : cross-validated data
root mean sq detrended-bfl ∫dX [ 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
- S
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1982) to (0000 1 Dec 2008) by 1.0 N= 324 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.125N) to (14.875N) by 0.25 N= 48 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 1.74532925199433×10-05 meter radian east
- history
- Averaged over X[33E, 48E] minimum 0.0% data present
Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Data Views
Views
data as colors
data as contours| L | S | Y | |
 root mean sq detrended-bfl $integral dX$ [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 xValPred ] 2.5 months[ S L Y |] | 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 S Y
- Differentiate along S Y
- Take differences along S Y
RMS (root mean square with mean *not* removed) over S Y | S Y |
RMSA (root mean square with mean removed) over S Y | S Y |
Maximum over S Y | S Y |
Minimum over S Y | S Y |
Detrend (best-fit-line) over S Y | S Y |
Note on units