∫dT root mean sq anom ∂X ∫dY [ ENACTS version0 daily rainfall0p25 rfe ] : ∂X precipitation data
daily rainfall0p25 rfe int_dY partial_X partial_X
∂X precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (0000 1 Jan 1981) to (0000 1 Jan 2021) by 1.0 N= 14611 pts :grid
- Longitude
- grid: /X (degree_east) ordered (21.1002E) to (51.8998E) by 0.2504032 N= 124 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
- standard units*
- 0.001 meter
- history
- $partialdiff sub X$ $integral dY$ [ ENACTS version0 daily rainfall0p25 rfe ]
- X regridded on ENACTS version0 daily rainfall rfe
Y regridded on ENACTS version0 daily rainfall rfe
$integral dT$ root mean sq anom $partialdiff sub X$ $integral dY$ [ ENACTS version0 daily rainfall0p25 rfe ] - Averaged over Y[12.14674S, 22.3511N] 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
T
- Differentiate along X
T
- Take differences along X
T
Average over
X
T
|
X T
|
RMS (root mean square with mean *not* removed) over
X
T
|
X T
|
RMSA (root mean square with mean removed) over
X
T
|
X T
|
Maximum over
X
T
|
X T
|
Minimum over
X
T
|
X T
|
Detrend (best-fit-line) over
X
T
|
X T
|
Note on units