root mean sq detrended-bfl ∂X ∫dY [ ENACTS version0 daily rainfall0p25 rfe ] : ∂X precipitation data
daily rainfall0p25 rfe int_dY partial_X adif
∂X precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
Independent Variables (Grids)
- Longitude
- grid: /X (degree_east) ordered (21.1002E) to (51.8998E) by 0.2504032 N= 124 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (12.14674S) to (22.3511N) by 0.2499844 N= 139 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- prcp_dailyrate_max100_smooth
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- lwe_precipitation_rate
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- history
- detrended-bfl $partialdiff sub X$ $integral dY$ [ ENACTS version0 daily rainfall0p25 rfe ]
- X regridded on ENACTS version0 daily rainfall rfe
Y regridded on ENACTS version0 daily rainfall rfe
root mean sq detrended-bfl $partialdiff sub X$ $integral dY$ [ ENACTS version0 daily rainfall0p25 rfe ] - Averaged over T[1200 31 Dec 1980 - 1200 1 Jan 1981, 2400 31 Dec 2020] minimum 0.0% data present
Last updated: Mon, 22 Feb 2021 09:33:15 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
Y
- Differentiate along X
Y
- Take differences along X
Y
Average over
X
Y
|
X Y
|
RMS (root mean square with mean *not* removed) over
X
Y
|
X Y
|
RMSA (root mean square with mean removed) over
X
Y
|
X Y
|
Maximum over
X
Y
|
X Y
|
Minimum over
X
Y
|
X Y
|
Detrend (best-fit-line) over
X
Y
|
X Y
|
Note on units