data: root mean sq anom detrended-bfl $partialdiff sub Y$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ]

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root mean sq anom detrended-bfl ∂_Y [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ] : ∂_Y Relative humidity data

root mean sq anom detrended-bfl ∂_Y [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ] .

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1949) to (Feb 2023) by 1.0 N= 890 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid

Other Info

bufferwordsize: 8
calendar: standard
CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: doublearraytype
grib_name: RH
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 10
gribparam: 52
gribvariable: 52
PDS_TimeRange: 113
pointwidth: 1.0
process: 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
PTVersion: 2
subcenter: NCEP Ensemble Products
units: 0.572957795130823 radian^-1 north
history: Averaged over P[962.5 mb, 350.0 mb]

References

Kalnay_etal1996

Last updated: Mon, 27 Mar 2023 13:29:42 GMT

Data Views

	T	X	Y
root mean sq anom detrended-bfl $partialdiff sub Y$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ] [ X Y \| T]	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 T
Differentiate along X Y T
Take differences along X Y T