data: $partialdiff sub T$ $partialdiff sub X$ $partialdiff sub T$ [ Rwanda ENACTS temperatures tmax anomalies ]

∂_T ∂_X ∂_T [ Rwanda ENACTS temperatures tmax anomalies ] : ∂_T ∂_X ∂_T Gridded Maximum Temperature data

Rwanda ENACTS temperatures tmax tmax tmax tmax partial_T partial_X partial_X ∂_T ∂_X ∂_T Gridded Maximum Temperature from SOURCES: the IRI/LDEO collection of climate data.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) (360) ordered [ (1200 11 Aug 1961 - 0000 1 Jul 1962) (0000 1 Jul 1962 - 2400 3 Jan 1963) (0000 4 Jan 1963 - 1200 19 Feb 1963) ... (0002 7 Aug 2024 - 1202 30 Sep 2024)] N= 223 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (28.575E) to (30.925E) by 0.05000005 N= 48 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (2.95S) to (1.05S) by 0.05 N= 39 pts :grid

Other Info

CE: null
CS: null
datatype: realarraytype
file_missing_value: -9999
missing_value: NaN
units: DegC /days /degree_east /days
history: 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

	T	X	Y
$partialdiff sub T$ $partialdiff sub X$ $partialdiff sub T$ [ Rwanda ENACTS temperatures tmax anomalies ] [ X Y \| T]	M	M	M

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 Y T
Differentiate along X Y T
Take differences along X Y T

∂T ∂X ∂T [ Rwanda ENACTS temperatures tmax anomalies ] : ∂T ∂X ∂T Gridded Maximum Temperature data

Independent Variables (Grids)

Other Info

Data Views

Filters

∂_T ∂_X ∂_T [ Rwanda ENACTS temperatures tmax anomalies ] : ∂_T ∂_X ∂_T Gridded Maximum Temperature data