∫dX root mean sq root mean sq [ ENACTS version0 dekadal rainfall rfe climatology ] : Precipitation data
dekadal rainfall rfe rfe rfe rfe Precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.83E) to (51.48E) by 0.05 N= 594 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.74532925199433×10-05 meter radian east
- history
- root mean sq [ ENACTS version0 dekadal rainfall rfe climatology ]
- Averaged over T2[1981, 2357 30 Dec 2022 - 2357 30 Dec 2023] minimum 0.0% data present
Averaged over T[0000 1 Jan - 0000 11 Jan, 0000 21 Dec - 0000 1 Jan] minimum 0.0% data present
$integral dX$ root mean sq root mean sq [ ENACTS version0 dekadal rainfall rfe climatology ] - Averaged over Y[11.8S, 23.15N] minimum 0.0% data present
Last updated: Thu, 16 May 2024 08:15:58 GMT
Expires: Sat, 11 May 2024 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