data: detrended-bfl $integral dY$ $partialdiff sub T$ $partialdiff sub X$ $integral dT$ detrended-bfl $partialdiff sub X$ detrended-bfl [ NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic total_air

served from IRI/LDEO Climate Data Library

detrended-bfl ∫dY ∂_T ∂_X ∫dT detrended-bfl ∂_X detrended-bfl [ NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic total_air_column PWAT ] : ∂_T ∂_X ∂_X Precipitable water data

DAILY Intrinsic total_air_column PWAT PWAT PWAT PWAT adif partial_X adif int_dT int_dT partial_X partial_T partial_T int_dY int_dY adif ∂_T ∂_X ∂_X Precipitable water from NOAA NCEP-NCAR CDAS-1: Climate Data Assimilation System I; NCEP-NCAR Reanalysis Project.

Independent Variables (Grids)

Time (time): grid: /T (days since 1948-01-01 12:00:00) ordered (2 Jan 1948) to (2 Feb 2023) by 1.0 N= 27426 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (1.25E) to (1.25W) by 2.5 N= 144 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid

Other Info

calendar: standard
CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: realarraytype
file_missing_value: 9.99900026E20
grib_name: PWAT
gribfield: 1
GRIBgridcode: 2
gribleveltype: 200
gribNumBits: 10
gribparam: 54
gribvariable: 54
missing_value: NaN
PDS_TimeRANGE: 113
pointwidth: 0.0
process: (180) 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
PTVersion: 2
standard_name: atmosphere_mass_content_of_water_vapor
subcenter: NCEP Ensemble Products
units: 57.2957795130824 kilogram meter^-2 radian^-1 north
history: T: 0000 1 Apr 2002 to 0000 3 Feb 2023 appended from datestring

References

Kalnay_etal1996

Last updated: Sun, 05 Feb 2023 13:55:14 GMT
Expires: Mon, 06 Feb 2023 13:40:00 GMT

Data Views

	T	X	Y
detrended-bfl $integral dY$ $partialdiff sub T$ $partialdiff sub X$ $integral dT$ detrended-bfl $partialdiff sub X$ detrended-bfl [ NOAA NCEP-NCAR CDAS-1 DAILY 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