data: mean [ Rwanda CPT NextGen 0p25 GFDL-CM2p1-aer04 Obs ]

served from maproom.meteorwanda.gov.rw

mean [ Rwanda CPT NextGen 0p25 GFDL-CM2p1-aer04 Obs ]: Observation data

Rwanda CPT NextGen 0p25 GFDL-CM2p1-aer04 Obs Observation from SOURCES: the IRI/LDEO collection of climate data.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Latitude (latitude): grid: /Y (degree_north) ordered (1.125S) to (2.875S) by 0.25 N= 8 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

missing_value

NaN

pointwidth

units

standard units*

0.001 meter

history

mean [ Rwanda CPT NextGen 0p25 GFDL-CM2p1-aer04 Obs ]

Averaged in T with overlapping interval 3
Averaged over S[0000 1 Jan 1983, 0000 1 Dec 2009] X[28E, 31E] minimum 0.0% data present

Last updated: Thu, 12 Dec 2019 21:15:33 GMT

Data Views

	L	Y
mean [ Rwanda CPT NextGen 0p25 GFDL-CM2p1-aer04 Obs ] 2.5 months[ L \| Y]	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 Y
Differentiate along Y
Take differences along Y