data: $partialdiff sub Y$ $partialdiff sub X$ $integral dT$ [ NOAA NCEP-NCAR CDAS-1 mc6190 Intrinsic MSL pressure ]

served from IRI/LDEO Climate Data Library

∂_Y ∂_X ∫dT [ NOAA NCEP-NCAR CDAS-1 mc6190 Intrinsic MSL pressure ] : ∂_Y ∂_X Pressure data

mc6190 Intrinsic MSL pressure pressure int_dT partial_X ∂_Y ∂_X Pressure from NOAA NCEP-NCAR CDAS-1: Climate Data Assimilation System I; NCEP-NCAR Reanalysis Project.

Independent Variables (Grids)

Time: grid: /T (months since 01-Jan) ordered (Jan) to (Jan) by 1.0 N= 13 pts :grid
Longitude: grid: /X (degree_east) periodic (1.25W) to (3.75W) by 2.5 N= 144 pts :grid
Latitude: grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid

Other Info

CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: realarraytype
grib_name: PRES
process: 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
PTVersion: 1
subcenter: NCEP Reanalysis Project
units: 273.567195834312 kilogram meter^-1 radian^-2 east second^-2 year
history: Averaged over T2[1961, 1990]

References

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Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	T	X	Y
$partialdiff sub Y$ $partialdiff sub X$ $integral dT$ [ NOAA NCEP-NCAR CDAS-1 mc6190 Intrinsic MSL pressure ] [ 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