data: Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-A06 Var

served from maproom.meteorwanda.gov.rw

Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-A06 Var: Variance data

Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-A06 Variance from SOURCES: the IRI/LDEO collection of climate data.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Made of (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Nov 2019) to (0000 1 Mar 2024) by 1.0 N= 53 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (28.125E) to (30.875E) by 0.25 N= 12 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (1.125S) to (2.875S) by 0.25 N= 8 pts :grid

Other Info

bufferwordsize: 4
CE: null
colorscalename: rainbowcolorscale
CS: 0
datatype: realarraytype
maxncolor: 256
missing_value: -999.0
pointwidth: 0
scale_min: 0.0
units: mm² /day²
standard units*: 1.33959190672154×10^-16 meter² second^-2
history: Averaged in T with overlapping interval 3

Last updated: Thu, 12 Dec 2019 21:15:33 GMT
Expires: Thu, 09 Jan 2020 00:00:00 GMT

Data Views

	L	S	X	Y
Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-A06 Var 2.5 months[ X Y \| L S]	M	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 S
Differentiate along X Y S
Take differences along X Y S