data: $partialdiff sub T$ mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel v ]

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∂_T mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel v ] : ∂_T meridional wind data

∂_T mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel v ] .

Independent Variables (Grids)

Pressure: grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100) (70) (50) (30) (20) (10)] :grid
Time (time): grid: /T (days since 1960-01-01) ordered [ (1200 16 Jan 1949 - 2400 14 Feb 1949) (0000 15 Feb 1949 - 1200 16 Mar 1949) (1200 16 Mar 1949 - 2400 15 Apr 1949) ... (1200 16 Jul 2014 - 1200 16 Aug 2014)] N= 787 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid

Other Info

calendar: standard
CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: realarraytype
grib_name: VGRD
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 12
gribparam: 34
gribvariable: 34
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: 1.15740740740741×10^-05 meter second^-2
history: Averaged over Y[91.25S, 91.25N]

References

Kalnay_etal1996

Last updated: Wed, 20 Mar 2019 09:34:10 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT

Data Views

	P	T	X
$partialdiff sub T$ mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel v ] [ 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