root mean sq detrended-bfl ∂X [ KMD Kenya_v03 dekadal_new climatologies tmax ] : ∂X Maximum Temperature data
root mean sq detrended-bfl
∂X [ KMD Kenya_v03 dekadal_new climatologies tmax ] .
Independent Variables (Grids)
- Time
- grid: /T (days since 1981-01-01) (365) periodic [ (1-10 Jan) (11-20 Jan) (21-31 Jan) (1-10 Feb) (11-20 Feb) (21-28 Feb) (1-10 Mar) (11-20 Mar) (21-31 Mar) (1-10 Apr) (11-20 Apr) (21-30 Apr) (1-10 May) (11-20 May) (21-31 May) (1-10 Jun) (11-20 Jun) (21-30 Jun) (1-10 Jul) (11-20 Jul) (21-31 Jul) (1-10 Aug) (11-20 Aug) (21-31 Aug) (1-10 Sep) (11-20 Sep) (21-30 Sep) (1-10 Oct) (11-20 Oct) (21-31 Oct) (1-10 Nov) (11-20 Nov) (21-30 Nov) (1-10 Dec) (11-20 Dec) (21-31 Dec)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (32.04375E) to (42.95625E) by 0.03750001 N= 292 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- temp_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 57.2957795130823 degree_Kelvin radian-1 east
- history
- root mean sq detrended-bfl $partialdiff sub X$ [ KMD Kenya_v03 dekadal_new climatologies tmax ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over Y[6.01875S, 6.01875N] minimum 0.0% data present
Last updated: Wed, 29 May 2024 07:29:02 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