served from data-library.gov.ls
∂T detrended-bfl ∫dX [ Lesotho ENACTS ALL dekadal temperature tmin ] : ∂T Minimum Temperature data
ALL dekadal temperature tmin int_dX adif ∂T Minimum Temperature from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (julian_day) ordered [ (6-15 Jan 1961) (0000 16 Jan 1961 - 1200 26 Jan 1961) (1200 26 Jan 1961 - 2400 5 Feb 1961) ... (0000 16 Dec 2020 - 1200 26 Dec 2020)] N= 2159 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (26.90625E) to (29.60625E) by 0.03749998 N= 73 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (30.7875S) to (28.425S) by 0.03750002 N= 64 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- missing_value
- NaN
- units
- 2.02005700462307×10-07 degree_Kelvin radian east second-1
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 | |
 $partialdiff sub T$ detrended-bfl $integral dX$ [ Lesotho ENACTS ALL dekadal temperature tmin ] [ 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