served from maproom.meteorwanda.gov.rw
mean root mean sq anom ∂T [ Rwanda ENACTS temperatures tmax anomalies ] : ∂T Gridded Maximum Temperature data
Rwanda ENACTS temperatures tmax tmax tmax tmax partial_T partial_T ∂T Gridded Maximum Temperature from SOURCES: the IRI/LDEO collection of climate data. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999
- missing_value
- NaN
- units
- DegC /days
- history
- root mean sq anom $partialdiff sub T$ [ Rwanda ENACTS temperatures tmax anomalies ]
- Averaged over T2[1961, 2357 30 Dec 2022 - 2357 30 Dec 2023] minimum 0.0% data present
Averaged over X[28.55E, 30.95E] Y[2.95S, 1.05S] minimum 0.0% data present
mean root mean sq anom $partialdiff sub T$ [ Rwanda ENACTS temperatures tmax anomalies ]- Averaged over T[1200 2 Feb 1961 - 1200 1 Apr 1961, 1202 1 Dec 2024] minimum 0.0% data present
- Averaged over T2[1961, 2357 30 Dec 2022 - 2357 30 Dec 2023] minimum 0.0% data present
Last updated: Wed, 26 Jun 2024 17:08:06 GMT
Data Views
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
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