served from data-library.gov.ls
∂T ∫dY ∂T [ Lesotho ENACTS ALL dekadal climatologies rfe_stddev ] : ∂T ∂T Dekadal rainfall 1981-2020 standard deviation data
ALL dekadal climatologies rfe_stddev partial_T int_dY ∂T ∂T Dekadal rainfall 1981-2020 standard deviation from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1981-01-01) (365) periodic [ (0000 11 Jan) (0000 11 Jan) (0000 11 Jan - 0600 21 Jan) (0000 11 Feb - 1200 20 Feb) (1200 20 Feb) (1200 20 Feb) (1200 20 Feb - 1200 1 Mar) (1200 1 Mar - 2400 10 Mar) (0000 11 Mar - 0600 21 Mar) (0000 11 Apr) (0000 11 Apr) (11-20 Apr) (21-30 Apr) (1-10 May) (0000 11 May - 0600 21 May) (0000 11 Jun) (0000 11 Jun) (11-20 Jun) (21-30 Jun) (1-10 Jul) (0000 11 Jul - 0600 21 Jul) (0000 11 Aug) (0000 11 Aug) (0000 11 Aug - 0600 21 Aug) (0000 11 Sep) (0000 11 Sep) (11-20 Sep) (21-30 Sep) (1-10 Oct) (0000 11 Oct - 0600 21 Oct) (0000 11 Nov) (0000 11 Nov) (11-20 Nov) (21-30 Nov) (1-10 Dec) (0000 11 Dec - 0600 21 Dec)] :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
- 300
- colorscalename
- cmorph_dekad_colors
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 2.33802894053596×10-15 meter radian north second-2
- history
- Averaged over T2[18.5, 1422.5] minimum 0.0% data present
- colorscale
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 | |
 $partialdiff sub T$ $integral dY$ $partialdiff sub T$ [ Lesotho ENACTS ALL dekadal climatologies rfe_stddev ] [ 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