data: mean flagge [ ( Rwanda ENACTS rainfall { rfe * 3. } ) , 80 ] * 100.

mean flagge [ ( Rwanda ENACTS rainfall { rfe * 3. } ) , 80 ] * 100.: Percent Occurrence of Precipitation Condition in Historical Record data

Rwanda ENACTS rainfall rfe rfe rfe flag flag flag Percent Occurrence of Precipitation Condition in Historical Record from SOURCES: the IRI/LDEO collection of climate data.

Variables Indépendantes (Grilles)

Time: grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (28.5375E) to (30.975E) by 0.0375 N= 66 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (2.9625S) to (1.05S) by 0.0375 N= 52 pts :grid

Autres Informations

CE

null

CS

null

datatype

realarraytype

fnname

flagge

missing_value

NaN

units

unitless

history

mean flagge [ ( Rwanda ENACTS rainfall { rfe * 3. } ) , 80 ] * 100.

Boxes with less than 0.0% dropped
Averaged over T2[1981, 2023] minimum 0.0% data present

Dernière Mise à jour: Wed, 26 Jun 2024 16:53:08 GMT

Data Views

	T	X	Y
mean flagge [ ( Rwanda ENACTS rainfall { rfe * 3. } ) , 80 ] * 100.[ 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