served from data-library.gov.ls
∫dX ∂Y ∫dT [ Lesotho ENACTS ALL monthly rainfall rfe ] anomalies: ∂Y Rainfall Amount data
ALL monthly rainfall rfe int_dT partial_Y int_dX ∂Y Rainfall Amount from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1981) to (0000 1 Jan 2021) by 1.0 N= 481 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 (30.76875S) to (28.44375S) by 0.03750004 N= 63 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 8.33333333333333×10-05 meter year
- history
- $integral dX$ $partialdiff sub Y$ $integral dT$ [ Lesotho ENACTS ALL monthly rainfall rfe ]
Boxes with less than 0.0% dropped
- $integral dX$ $partialdiff sub Y$ $integral dT$ [ Lesotho ENACTS ALL monthly rainfall rfe ] climatology
- Boxes with less than 0.0% dropped
Averaged over T2[16 Dec 1980 - 15 Dec 1981, 16 Dec 2019 - 15 Dec 2020] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- $integral dX$ $partialdiff sub Y$ $integral dT$ [ Lesotho ENACTS ALL monthly rainfall rfe ]
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 | |
 $integral dX$ $partialdiff sub Y$ $integral dT$ [ Lesotho ENACTS ALL monthly rainfall rfe ] 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