data: $partialdiff sub T$ [ BoM MJO v2p0 RMM RMM2 ]

served from IRI/LDEO Climate Data Library

∂_T [ BoM MJO v2p0 RMM RMM2 ]: ∂_T data

RMM2 ∂_T from BoM MJO v2p0 RMM: Real-time Multivariate MJO Index (with components of interannual variability removed).

Independent Variables (Grids)

Time (time): grid: /T (julian_day) ordered (1200 1 Jun 1974 - 1200 2 Jun 1974) to (1200 4 Mar 2025 - 1200 5 Mar 2025) by 1.0 N= 18540 pts :grid

Other Info

datatype: realarraytype
file_missing_value: 9.99999962E35
missing_value: NaN
units: 1.15740740740741×10^-05 second^-1

References

Wheeler_Hendon2004

Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Expires: Tue, 11 Mar 2025 00:00:00 GMT

Data Views

	T
BoM MJO v2p0 RMM[RMM1 amplitude RMM2 phase ]
grid: /T (julian_day) ordered (1 Jun 1974) to (5 Mar 2025) by 1.0 N= 18541 pts :grid	O=0.5
BoM MJO v2p0 RMM amplitude[ T \|]	O=0.5
$partialdiff sub T$ [ BoM MJO v2p0 RMM RMM2 ][ T \|]	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 T
Differentiate along T
Take differences along T