served from data-library.gov.ls
root mean sq [ ∂X ( Lesotho ENACTS ALL dekadal temperature tmin ) anomalies ]: ∂X Minimum Temperature data
ALL dekadal temperature tmin partial_X partial_X ∂X Minimum Temperature from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) (360) ordered [ (0800-1600 2 Feb 1961) (0800-1600 1 Apr 1961) (0800-1559 10 Nov 1962) ... (0800-1601 16 Nov 2021)] N= 205 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
- root mean sq [ $partialdiff sub X$ ( Lesotho ENACTS ALL dekadal temperature tmin ) anomalies ]
- Averaged over T2[1961, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
Averaged over X[26.925E, 29.5875E] Y[30.80625S, 28.40625S] minimum 0.0% data present
- Averaged over T2[1961, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Data Views
Views
line plots
color bars
scatter| T | |
 root mean sq [ $partialdiff sub X$ ( Lesotho ENACTS ALL dekadal temperature tmin ) anomalies ][ | T] | 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 T
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units