min ∫dT [ ∂Y ( Rwanda Dekad climatologies tmax ) anomalies ] : ∂Y Tmax Dekad Climatology 1983-2014 data
Rwanda Dekad climatologies tmax partial_Y partial_Y partial_Y int_dT
∂Y Tmax Dekad Climatology 1983-2014 from SOURCES: the IRI/LDEO collection of climate data.
Independent Variables (Grids)
- Time
- grid: /T (days since 1983-01-01) (360) periodic [ (0000 6 Jan 1983) (0000 14 Jan 1983) (0000 26 Jan 1983) (0000 5 Feb 1983) (0000 15 Feb 1983) (0000 24 Feb 1983) (0000 3 Mar 1983) (0000 13 Mar 1983) (0000 25 Mar 1983) (0000 4 Apr 1983) (0000 14 Apr 1983) (0000 24 Apr 1983) (0000 4 May 1983) (0000 14 May 1983) (0000 26 May 1983) (0000 5 Jun 1983) (0000 15 Jun 1983) (0000 25 Jun 1983) (0000 5 Jul 1983) (0000 15 Jul 1983) (0000 27 Jul 1983) (0000 6 Aug 1983) (0000 16 Aug 1983) (0000 28 Aug 1983) (0000 7 Sep 1983) (0000 17 Sep 1983) (2359 26 Sep 1983) (0000 7 Oct 1983) (0000 17 Oct 1983) (0000 29 Oct 1983) (2359 7 Nov 1983) (2359 17 Nov 1983) (2359 27 Nov 1983) (0000 8 Dec 1983) (0000 18 Dec 1983) (0000 29 Dec 1983) (0800 29 Dec 1983)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.525E) to (30.975E) by 0.05000002 N= 50 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999
- maxncolor
- 256
- missing_value
- NaN
- units
- DegC /degree_north days
- history
- $partialdiff sub Y$ [ Rwanda Dekad climatologies tmax ]
Averaged over T2[0.5, 1152.5] minimum 0.0% data present
- $partialdiff sub Y$ [ Rwanda Dekad climatologies tmax ] climatology
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
Averaged over T2=1983 minimum 0.0% data present
min $integral dT$ [ $partialdiff sub Y$ ( Rwanda Dekad climatologies tmax ) anomalies ] - min over Y[2.925S, 1.075S]
Last updated: Wed, 26 Jun 2024 17:08:06 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
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RMSA (root mean square with mean removed) over
X
T
|
X T
|
Maximum over
X
T
|
X T
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Minimum over
X
T
|
X T
|
Detrend (best-fit-line) over
X
T
|
X T
|
Note on units