root mean sq mean ∂Y max [ Rwanda ENACTS temperatures temp ] : ∂Y Gridded Average Temperature data
Rwanda ENACTS temperatures temp max partial_Y partial_Y
∂Y Gridded Average Temperature from SOURCES: the IRI/LDEO collection of climate data.
is
Independent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999
- missing_value
- NaN
- units
- DegC /degree_north
- history
- mean $partialdiff sub Y$ max [ Rwanda ENACTS temperatures temp ]
- max over T[1-10 Jan 1961, 21-31 Dec 2023]
Averaged over X[28.5E, 31E] minimum 0.0% data present
root mean sq mean $partialdiff sub Y$ max [ Rwanda ENACTS temperatures temp ] - Averaged over Y[2.975S, 1.025S] 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
- Differentiate along
- Take differences along
Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units