mean detrended-bfl [ ∂Y ( Lesotho ENACTS ALL dekadal rainfall rfe_mergeddiff ) climatology ] : ∂Y Rainfall Anomaly data
ALL dekadal rainfall rfe_mergeddiff partial_Y partial_Y adif
∂Y Rainfall Anomaly from Lesotho ENACTS: Enhancing National Climate Service initiative.
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (26.925E) to (29.5875E) by 0.03750001 N= 72 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (30.76875S) to (28.44375S) by 0.03750004 N= 63 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 north
- history
- detrended-bfl [ $partialdiff sub Y$ ( Lesotho ENACTS ALL dekadal rainfall rfe_mergeddiff ) climatology ]
- Averaged over T2[0.5, 1440.5] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
mean detrended-bfl [ $partialdiff sub Y$ ( Lesotho ENACTS ALL dekadal rainfall rfe_mergeddiff ) climatology ] - Averaged over T[0000 1 Jan - 0000 11 Jan, 0000 21 Dec - 0000 1 Jan] minimum 0.0% data present
Last updated: Wed, 09 Mar 2022 20:30:18 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