served from data-library.gov.ls
∫dY [ Lesotho ENACTS ALL dekadal temperature tmin ] climatology anomalies: Minimum Temperature data
ALL dekadal temperature tmin int_dY int_dY Minimum Temperature from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (1-10 Jan) to (21-30 Dec) by 0.3333333 N= 36 pts :grid
- 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 (30.80625S) to (28.40625S) by 0.03749999 N= 65 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- missing_value
- NaN
- units
- 0.0174532925199433 ( degree_Kelvin above 273.15 ) radian north
- history
- $integral dY$ [ Lesotho ENACTS ALL dekadal temperature tmin ] climatology
Averaged over T2[1961, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
- $integral dY$ [ Lesotho ENACTS ALL dekadal temperature tmin ] climatology climatology
- Averaged over T2[1961, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
Averaged over T2=1960 minimum 0.0% data present
- Averaged over T2[1961, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
- $integral dY$ [ Lesotho ENACTS ALL dekadal temperature tmin ] climatology
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 | |
 $integral dY$ [ Lesotho ENACTS ALL dekadal temperature tmin ] climatology 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