data: $integral dS$ [ Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-B01 Mu ]

served from maproom.meteorwanda.gov.rw

∫dS [ Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-B01 Mu ]: Mu data

Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-B01 Mu Mu from SOURCES: the IRI/LDEO collection of climate data.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 16 Oct 2019) to (0000 16 Jun 2024) by 1.0 N= 57 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: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
units: 8.33333333333333×10^-05 meter year
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
$integral dS$ [ Rwanda CPT NextGen 0p25 GFDL-CM2p5-FLOR-B01 Mu ] 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