data: min $partialdiff sub Y$ $integral dX$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ]

min ∂_Y ∫dX [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ] : ∂_Y Velocity potential data

min ∂_Y ∫dX [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ] .

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) ordered (1.25W) to (1.25W) by 2.5 N= 145 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid

Other Info

calendar: standard
center: US Weather Service - National Met. Center
datatype: realarraytype
grib_name: VPOT
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 16
gribparam: 36
gribvariable: 36
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: m² /s
standard units*: meter² second^-1
history: min over P[1000 mb, 10 mb]

References

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

Data Views

	T	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 ]
min $partialdiff sub Y$ $integral dX$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ] [ 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