root mean sq ∂T ∂X [ ENACTS version0 daily rainfall rfe ] : ∂T ∂X precipitation data
daily rainfall rfe rfe partial_X partial_T
∂T ∂X precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (1200 1 Jan 1981 - 1200 2 Jan 1981) to (1200 30 Dec 2020 - 1200 31 Dec 2020) by 1.0 N= 14609 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (12.02175S) to (22.22611N) by 0.04999687 N= 686 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
- 7.67529625250267×10-12 meter radian-1 east second-2
- history
- Averaged over X[21.0E, 52.0E] 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 Y
T
- Differentiate along Y
T
- Take differences along Y
T
Average over
Y
T
|
Y T
|
RMS (root mean square with mean *not* removed) over
Y
T
|
Y T
|
RMSA (root mean square with mean removed) over
Y
T
|
Y T
|
Maximum over
Y
T
|
Y T
|
Minimum over
Y
T
|
Y T
|
Detrend (best-fit-line) over
Y
T
|
Y T
|
Note on units