data: $integral dT$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic total_air

served from 45.183.221.150

∫dT [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic total_air_column PWAT ]: Precipitable water data

∫dT [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic total_air_column PWAT ].

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1949) to (0000 1 Sep 2014) by 1.0 N= 789 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: 8
calendar: standard
CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: doublearraytype
grib_name: PWAT
gribfield: 1
GRIBgridcode: 2
gribleveltype: 200
gribNumBits: 13
gribparam: 54
gribvariable: 54
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: 0.0833333333333333 kilogram meter^-2 year

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
$integral dT$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic total_air_column PWAT ][ 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