data: min $partialdiff sub P$ $partialdiff sub P$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ]

min ∂_P ∂_P [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ] : ∂_P ∂_P Temperature data

min ∂_P ∂_P [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ] .

Independent Variables (Grids)

P: grid: /P (mb) ordered [ (878.125) (771.875) (656.25) (550.0) (450.0) (356.25) (281.25) (225.0) (175.0) (127.5) (88.75) (61.25) (41.25) (26.25)] :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) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid

Other Info

bufferwordsize: 4
calendar: standard
center: US Weather Service - National Met. Center
datatype: realarraytype
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: 0.0001 degree_Kelvin kilogram^-2 meter² second⁴
history: min over Y[90N, 90S]

References

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

Data Views

	P	T	X
min $partialdiff sub P$ $partialdiff sub P$ [ 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