data: root mean sq [ $integral dX$ root mean sq ( Rwanda Dekad climatologies rfe ) anomalies ]

root mean sq [ ∫dX root mean sq ( Rwanda Dekad climatologies rfe ) anomalies ]: Rainfall Dekad Climatology 1981-2010 data

Rwanda Dekad climatologies rfe rfe int_dX int_dX Rainfall Dekad Climatology 1981-2010 from SOURCES: the IRI/LDEO collection of climate data.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (28.51875E) to (30.99375E) by 0.03749998 N= 67 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

cmorph_dekad_colors

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

units

1.74532925199433×10^-05 meter radian east

history

$integral dX$ root mean sq [ Rwanda Dekad climatologies rfe ]

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over Y[2.98125S, 1.03125S] minimum 0.0% data present

$integral dX$ root mean sq [ Rwanda Dekad climatologies rfe ] climatology

$integral dX$ root mean sq [ Rwanda Dekad climatologies rfe ]

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over Y[2.98125S, 1.03125S] minimum 0.0% data present

Averaged over T2=1981 minimum 0.0% data present

root mean sq [ $integral dX$ root mean sq ( Rwanda Dekad climatologies rfe ) anomalies ]

Averaged over T[1200-2000 5 Jan 1981, 1600 30 Dec 1981] minimum 0.0% data present

Last updated: Wed, 26 Jun 2024 16:53:08 GMT

Data Views

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root mean sq [ $integral dX$ root mean sq ( Rwanda Dekad climatologies rfe ) anomalies ][ X \|]	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
Differentiate along X
Take differences along X