data: mean $integral dY$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW ]

mean ∫dY [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW ] : Covar. spec. hum and omega data

mean ∫dY [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW ] .

Independent Variables (Grids)

P: grid: /P (mb) ordered [ (962.5) (887.5) (775.0) (650.0) (550.0) (450.0) (350.0)] :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 (91.25N) to (91.25S) by 2.5 N= 74 pts :grid

Other Info

bufferwordsize: 8
calendar: standard
CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: doublearraytype
grib_name: CBQW
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 16
gribparam: 195
gribvariable: 195
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 kilogram meter^-1 radian north second^-3
history: Averaged over T[Jan 1949, Feb 2023]

References

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

Data Views

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