served from data-library.gov.ls
∫dT ∂X [ Lesotho ENACTS ALL dekadal temperature tmin ] anomalies: ∂X Minimum Temperature data
ALL dekadal temperature tmin partial_X int_dT ∂X Minimum Temperature from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) (360) ordered [ (0000 27 Apr 1961) (0000 7 May 1961) (0000 17 May 1961) ... (0001 27 Jun 2005)] N= 271 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (26.94375E) to (29.56875E) by 0.03750003 N= 71 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
- 4950355.34993031 degree_Kelvin radian-1 east second
- history
- Averaged over T2[26 Dec 1960 - 25 Dec 1961, 26 Dec 2019 - 25 Dec 2020] minimum 0.0% data present
Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dT$ $partialdiff sub X$ [ Lesotho ENACTS ALL dekadal temperature tmin ] anomalies[ X Y | T] | M | M | M |
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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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units