served from data-library.gov.ls
min ∫dX [ Lesotho ENACTS ALL dekadal rainfall rfe_mergeddiff ] : Rainfall Anomaly data
ALL dekadal rainfall rfe_mergeddiff rfe_mergeddiff int_dX Rainfall Anomaly from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (6-15 Jan 1981) (0000 16 Jan 1981 - 1200 26 Jan 1981) (1200 26 Jan 1981 - 2400 5 Feb 1981) ... (0000 16 Dec 2020 - 1200 26 Dec 2020)] N= 1439 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (30.7875S) to (28.425S) by 0.03750002 N= 64 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 200
- CS
- -120
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.74532925199433×10-05 meter radian east
- history
- min $integral dX$ [ Lesotho ENACTS ALL dekadal rainfall rfe_mergeddiff ]
- Averaged over T2[0.5, 1440.5] minimum 0.0% data present
min over X[26.90625E, 29.60625E]
- Averaged over T2[0.5, 1440.5] 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
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