served from maproom.meteorwanda.gov.rw
root mean sq ∂X [ Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-B01 xValPred ] : ∂X cross-validated data
Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-B01 xValPred partial_X ∂X cross-validated from SOURCES: the IRI/LDEO collection of climate data. isIndependent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.0572957795130823 meter radian-1 east
- history
- root mean sq $partialdiff sub X$ [ Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-B01 xValPred ]
- Averaged in T with overlapping interval 3
Averaged over S[0000 1 Jan 1983, 0000 1 Dec 2009] X[28.125E, 30.875E] Y[3S, 1S] minimum 0.0% data present
- Averaged in T with overlapping interval 3
Last updated: Thu, 12 Dec 2019 21:15:33 GMT
Data Views
| L | |
 root mean sq $partialdiff sub X$ [ Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-B01 xValPred ] 2.5 months[ L |] | M |
|---|
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