data: $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure anomalies ]

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∂_T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure anomalies ]: ∂_T Pressure data

∂_T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure anomalies ].

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) (360) ordered [ (1159 19 Nov 1948 - 1159 18 Jan 1949) (1159 18 Jan 1949 - 1159 19 Mar 1949) (1159 19 Mar 1949 - 1159 20 May 1949) ... (1202 1 May 2015 - 1202 2 Jun 2015)] N= 475 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid

Other Info

bufferwordsize: 4
calendar: standard
CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: realarraytype
grib_name: PRES
gribfield: 1
GRIBgridcode: 2
gribleveltype: 1
gribNumBits: 16
gribparam: 1
gribvariable: 1
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 kilogram meter^-1 second^-3
history: Averaged over T2[1949, 2013]

References

Kalnay_etal1996

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

Data Views

	T	X	Y
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface[pressure ]
$partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure anomalies ][ 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