data: root mean sq detrended-bfl $integral dX$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ]

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root mean sq detrended-bfl ∫dX [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ] : Temperature data

root mean sq detrended-bfl ∫dX [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ] .

Independent Variables (Grids)

Pressure: grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100) (70) (50) (30) (20) (10)] :grid
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) ordered (1.25W) to (1.25W) by 2.5 N= 145 pts :grid

Other Info

bufferwordsize: 8
calendar: standard
CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: doublearraytype
grib_name: TMP
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 13
gribparam: 11
gribvariable: 11
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: 0.0174532925199433 ( degree_Kelvin above 0 ) radian east
history: Averaged over Y[91.25S, 91.25N]

References

Kalnay_etal1996

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

Data Views

	P	T	X
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[MSL surface total_air_column PressureLevel ]
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[CBVW CBUW rhum temp vpot CBVQ CBMZW CBUQ CBTW phi relv u vvel CBTZW v vtemp psi qa reld CBQW CBTMW ]
root mean sq detrended-bfl $integral dX$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ] [ X \| P 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 P T
Differentiate along X P T
Take differences along X P T