min ∫dY [ ∫dX ( ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ) climatology ] : Precipitation data
min
∫dY [
∫dX ( ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ) climatology ] .
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.83E) to (51.48E) by 0.05 N= 594 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.8S) to (23.15N) by 0.05 N= 700 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 3.65540903744051×10-06 meter radian2 north year-1
- history
- $integral dY$ [ $integral dX$ ( ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ) climatology ]
- Averaged over T2[1981, 2024] minimum 0.0% data present
Averaged over T2[1981, 2024] minimum 0.0% data present
min $integral dY$ [ $integral dX$ ( ICPAC CHIRPS-BLENDED monthly rainfall precipitation anomalies ) climatology ] - min over T[Jan, Dec]
Last updated: Thu, 20 Feb 2025 09:48:13 GMT
Expires: Mon, 10 Mar 2025 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
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