root mean sq ∂T [ detrended-bfl ( Lesotho ENACTS ALL dekadal temperature tmin ) anomalies ] : ∂T Minimum Temperature data
ALL dekadal temperature tmin adif adif partial_T
∂T Minimum Temperature from Lesotho ENACTS: Enhancing National Climate Service initiative.
Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) (360) ordered [ (1200 2 Feb 1961 - 1200 1 Apr 1961) (1200 1 Apr 1961 - 1200 10 Nov 1962) (1200 10 Nov 1962 - 1200 11 Jan 1963) ... (1202 15 Sep 2021 - 1202 16 Nov 2021)] N= 204 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (26.925E) to (29.5875E) by 0.03750001 N= 72 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 $partialdiff sub T$ [ detrended-bfl ( 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 Y[30.80625S, 28.40625S] minimum 0.0% data present
Last updated: Wed, 09 Mar 2022 20:30:18 GMT
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
T
- Differentiate along X
T
- Take differences along X
T
Average over
X
T
|
X T
|
RMS (root mean square with mean *not* removed) over
X
T
|
X T
|
RMSA (root mean square with mean removed) over
X
T
|
X T
|
Maximum over
X
T
|
X T
|
Minimum over
X
T
|
X T
|
Detrend (best-fit-line) over
X
T
|
X T
|
Note on units