served from data-library.gov.ls
root mean sq anom ∂T [ Lesotho ENACTS ALL dekadal temperature tmin anomalies ] : ∂T Minimum Temperature data
ALL dekadal temperature tmin tmin partial_T ∂T Minimum Temperature from Lesotho ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (30.7875S) to (28.425S) by 0.03750002 N= 64 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- missing_value
- NaN
- units
- 1.15740740740741×10-05 degree_Kelvin second-1
- history
- root mean sq anom $partialdiff sub T$ [ Lesotho ENACTS ALL dekadal temperature tmin anomalies ]
- Averaged over T2[1961, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
Averaged over X[26.925E, 29.5875E] T[1200 2 Feb 1961 - 1200 1 Apr 1961, 1202 15 Sep 2021 - 1202 16 Nov 2021] minimum 0.0% data present
- Averaged over T2[1961, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Data Views
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color bars
scatter| Y | |
 root mean sq anom $partialdiff sub T$ [ Lesotho ENACTS ALL dekadal temperature tmin anomalies ] [ Y |] | 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
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units