root mean sq [ ∂T ( Lesotho ENACTS ALL monthly rainfall rfe ) anomalies ]: ∂T Rainfall Amount data
ALL monthly rainfall rfe partial_T partial_T
∂T Rainfall Amount from Lesotho ENACTS: Enhancing National Climate Service initiative.
Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (16 Jan 1981 - 15 Feb 1981) to (16 Nov 2020 - 15 Dec 2020) by 1.0 N= 479 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (30.7875S) to (28.425S) by 0.03750002 N= 64 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- $partialdiff sub T$ [ Lesotho ENACTS ALL monthly rainfall rfe ]
Boxes with less than 0.0% dropped
- $partialdiff sub T$ [ Lesotho ENACTS ALL monthly rainfall rfe ] climatology
- Boxes with less than 0.0% dropped
Averaged over T2[16 Jan 1981 - 15 Jan 1982, 16 Jan 2019 - 15 Jan 2020] minimum 0.0% data present
root mean sq [ $partialdiff sub T$ ( Lesotho ENACTS ALL monthly rainfall rfe ) anomalies ]- Averaged over X[26.90625E, 29.60625E] 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 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