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root mean sq anom detrended-bfl [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 Var ] : Variance data
root mean sq anom detrended-bfl [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 Var ] . isIndependent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 256
- missing_value
- NaN
- pointwidth
- 0
- units
- mm2 /day2
- standard units*
- 1.33959190672154×10-16 meter2 second-2
- history
- root mean sq anom detrended-bfl [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 Var ]
- Averaged in T with overlapping interval 3
Averaged over X[33.125E, 47.875E] Y[3.125N, 14.875N] S[0000 1 Jan 2020, 0000 1 May 2025] minimum 0.0% data present
- Averaged in T with overlapping interval 3
Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Expires: Thu, 09 Mar 2023 00:00:00 GMT
Data Views
| L | |
 Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06[Mu
Z
Var
xValPred
Obs
] | |
 root mean sq anom detrended-bfl [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 Var ] 2.5 months[ L |] | 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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units