data: max $partialdiff sub X$ $partialdiff sub Y$ $partialdiff sub P$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW ]

max ∂_X ∂_Y ∂_P [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW ] : ∂_X ∂_Y ∂_P Covar. spec. hum and omega data

max ∂_X ∂_Y ∂_P [ 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
Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1949) to (Feb 2023) by 1.0 N= 890 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid

Other Info

bufferwordsize: 4
calendar: standard
center: US Weather Service - National Met. Center
datatype: realarraytype
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: 32.8280635001174 radian^-2 north second^-1
history: max over X[1.25W, 3.75W]

References

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

Data Views

	P	T	Y
max $partialdiff sub X$ $partialdiff sub Y$ $partialdiff sub P$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW ] [ Y \| 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 Y P T
Differentiate along Y P T
Take differences along Y P T