root mean sq anom ∂T [ Rwanda Daily tmin ] : ∂T Tmin merged station-reanalysis data
Rwanda Daily tmin partial_T
∂T Tmin merged station-reanalysis 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
- -99.0
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 1.15740740740741×10-05 degree_Kelvin second-1
- history
- Averaged over X[28.5375E, 30.975E] Y[2.9625S, 1.05S] T[1200 1 Jan 1983 - 1200 2 Jan 1983, 1200 30 Dec 2021 - 1200 31 Dec 2021] minimum 0.0% data present
Last updated: Mon, 09 May 2022 12:12:55 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