data: NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure

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NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure: Pressure data

NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1949) to (Dec 2021) by 1.0 N= 876 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
center: US Weather Service - National Met. Center
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
scale_max: 109040.0
scale_min: 49590.0
subcenter: NCEP Ensemble Products
units: Pa
standard units*: kilogram meter^-1 second^-2

References

Kalnay_etal1996

Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Expires: Thu, 03 Feb 2022 00:00:00 GMT

Data Views

	P	T	X	Y
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[total_air_column PressureLevel surface MSL ]
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel psi[ X Y \| P T]	M	D	M	M
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface 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