served from data-library.gov.ls
min ∫dY ∫dT [ Lesotho ENACTS MON dekadal rainfall rfe_mergeddiff ] : Rainfall Anomaly data
MON dekadal rainfall rfe_mergeddiff int_dT int_dY Rainfall Anomaly from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (0000 1 Jan 1981) (0000 11 Jan 1981) (0000 21 Jan 1981) ... (0000 21 Dec 2023)] N= 1548 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (30.80625S) to (28.40625S) by 0.03749999 N= 65 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.5079644737231 meter radian north second
- history
- min $integral dY$ $integral dT$ [ Lesotho ENACTS MON dekadal rainfall rfe_mergeddiff ]
- Averaged over T2[0.5, 1440.5] minimum 0.0% data present
min over X[26.925E, 29.5875E]
- Averaged over T2[0.5, 1440.5] minimum 0.0% data present
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| T | Y | |
 min $integral dY$ $integral dT$ [ Lesotho ENACTS MON dekadal rainfall rfe_mergeddiff ] [ Y | T] | 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units