root mean sq anom [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 Var ]: Variance data
root mean sq anom [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 Var ].
Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (33.125E) to (47.875E) by 0.25 N= 60 pts :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 [ Ethiopia CPT NextGen MAM_2020 GFDL-CM2p5-FLOR-A06 Var ]
- Averaged in T with overlapping interval 3
Averaged over Y[3.125N, 14.875N] S[0000 1 Jan 2020, 0000 1 May 2025] minimum 0.0% data present
Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Expires: Thu, 09 Mar 2023 00:00:00 GMT
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
- Differentiate along X
- Take differences along X
Average over
X
|
RMS (root mean square with mean *not* removed) over
X
|
RMSA (root mean square with mean removed) over
X
|
Maximum over
X
|
Minimum over
X
|
Detrend (best-fit-line) over
X
|
Note on units