served from data-library.gov.ls
root mean sq anom [ ∂X ( Lesotho ENACTS ALL monthly temperature tmax ) climatology ]: ∂X Maximum Temperature data
ALL monthly temperature tmax partial_X partial_X ∂X Maximum Temperature from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 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
- 57.2957795130823 degree_Kelvin radian-1 east
- history
- $partialdiff sub X$ [ Lesotho ENACTS ALL monthly temperature tmax ] climatology
- Boxes with less than 100.0% dropped
Averaged over T2[1961, 2020] minimum 0.0% data present
root mean sq anom [ $partialdiff sub X$ ( Lesotho ENACTS ALL monthly temperature tmax ) climatology ]- Averaged over X[26.94375E, 29.56875E] minimum 0.0% data present
- Boxes with less than 100.0% dropped
Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | |
 root mean sq anom [ $partialdiff sub X$ ( Lesotho ENACTS ALL monthly temperature tmax ) climatology ][ Y T |] | M | M |
|---|
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
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