root mean sq anom [ ∂T ( Lesotho ENACTS ALL monthly temperature tmax ) anomalies ]: ∂T Maximum Temperature data
ALL monthly temperature tmax partial_T partial_T
∂T Maximum Temperature 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 (30.7875S) 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
- missing_value
- NaN
- units
- 12 degree_Kelvin year-1
- history
- $partialdiff sub T$ [ Lesotho ENACTS ALL monthly temperature tmax ]
Boxes with less than 100.0% dropped
- $partialdiff sub T$ [ Lesotho ENACTS ALL monthly temperature tmax ] climatology
- Boxes with less than 100.0% dropped
Averaged over T2[16 Jan 1961 - 15 Jan 1962, 16 Jan 2019 - 15 Jan 2020] minimum 0.0% data present
root mean sq anom [ $partialdiff sub T$ ( Lesotho ENACTS ALL monthly temperature tmax ) anomalies ]- Averaged over T[16 Jan 1961 - 15 Feb 1961, 16 Nov 2020 - 15 Dec 2020] 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