root mean sq min [ ∂Y ( Rwanda Dekad climatologies tmax ) climatology ] : ∂Y Tmax Dekad Climatology 1983-2014 data
Rwanda Dekad climatologies tmax partial_Y partial_Y partial_Y min
∂Y Tmax Dekad Climatology 1983-2014 from SOURCES: the IRI/LDEO collection of climate data.
Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.925S) to (1.075S) by 0.04999999 N= 38 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
- history
- $partialdiff sub Y$ [ 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 [ $partialdiff sub Y$ ( Rwanda Dekad climatologies tmax ) climatology ]- min over X[28.525E, 30.975E]
root mean sq min [ $partialdiff sub Y$ ( Rwanda Dekad climatologies tmax ) climatology ] - Averaged over T[2359 30 Dec - 2359 10 Jan, 0000 21 Dec - 0000 1 Jan] minimum 0.0% data present
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 Y
- Differentiate along Y
- Take differences along Y
Average over
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