served from digilib.icpac.net
root mean sq [ max ∂Y ( ENACTS version0 dekadal rainfall rfe ) climatology ]: ∂Y Precipitation data
dekadal rainfall rfe partial_Y max max ∂Y Precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 north
- history
- max $partialdiff sub Y$ [ ENACTS version0 dekadal rainfall rfe ] climatology
- max over X[21.855E, 51.455E]
Averaged over T2[1981, 2357 30 Dec 2022 - 2357 30 Dec 2023] minimum 0.0% data present
root mean sq [ max $partialdiff sub Y$ ( ENACTS version0 dekadal rainfall rfe ) climatology ]- Averaged over T[0000 1 Jan - 0000 11 Jan, 0000 21 Dec - 0000 1 Jan] minimum 0.0% data present
- max over X[21.855E, 51.455E]
Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter| Y | |
 root mean sq [ max $partialdiff sub Y$ ( ENACTS version0 dekadal rainfall rfe ) climatology ][ Y |] | 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 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