served from data-library.gov.ls
∂X ∫dY ∫dY [ Lesotho ENACTS MON dekadal rainfall rfe_mergeddiff ] : ∂X Rainfall Anomaly data
MON dekadal rainfall rfe_mergeddiff int_dY int_dY ∂X Rainfall Anomaly from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (11-20 Dec 2023)] N= 1547 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 (30.825S) to (28.3875S) by 0.03749997 N= 66 pts :grid
Other Info
- CE
- 200
- CS
- -120
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.74532925199433×10-05 meter radian north
- history
- Averaged over T2[0.5, 1440.5] minimum 0.0% data present
- colorscale
Last updated: Tue, 12 Mar 2024 13:15:27 GMT
Expires: Thu, 21 Mar 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub X$ $integral dY$ $integral dY$ [ Lesotho ENACTS MON dekadal rainfall rfe_mergeddiff ] [ 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