data: min $partialdiff sub Y$ $partialdiff sub X$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel u ]

min ∂_Y ∂_X [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel u ] : ∂_Y ∂_X zonal wind data

min ∂_Y ∂_X [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel u ] .

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (16 Jan 1949 - 15 Feb 1949) to (16 Jan 2023 - 15 Feb 2023) by 1.0 N= 889 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (1.25W) to (3.75W) by 2.5 N= 144 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (87.5N) to (87.5S) by 2.5 N= 71 pts :grid

Other Info

bufferwordsize: 4
calendar: standard
center: US Weather Service - National Met. Center
datatype: realarraytype
grib_name: UGRD
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 12
gribparam: 33
gribvariable: 33
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: 3282.80635001174 meter radian^-2 east 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
min $partialdiff sub Y$ $partialdiff sub X$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel u ] [ 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