served from data-library.gov.ls
root mean sq ∂X detrended-bfl [ Lesotho ENACTS ALL dekadal temperature tmin ] : ∂X Minimum Temperature data
ALL dekadal temperature tmin adif partial_X ∂X Minimum Temperature from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (julian_day) ordered [ (2215 31 Dec 1960 - 0144 11 Jan 1961) (2215 10 Jan 1961 - 0144 21 Jan 1961) (1015 21 Jan 1961 - 1344 31 Jan 1961) ... (1015 21 Dec 2020 - 1344 31 Dec 2020)] N= 2160 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
- Averaged over X[26.925E, 29.5875E] minimum 0.0% data present
Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 root mean sq $partialdiff sub X$ detrended-bfl [ Lesotho ENACTS ALL dekadal temperature tmin ] [ 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