data: $integral dY$ $partialdiff sub Y$ $partialdiff sub X$ [ NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic total_air

served from IRI/LDEO Climate Data Library

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

DAILY Intrinsic total_air_column PWAT PWAT PWAT PWAT PWAT partial_X partial_Y ∂_Y ∂_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 (1200 1 Jan 1948 - 1200 2 Jan 1948) to (1200 11 Apr 2024 - 1200 12 Apr 2024) by 1.0 N= 27861 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 (87.5N) to (87.5S) by 2.5 N= 71 pts :grid

Other Info

bufferwordsize: 8
calendar: standard
center: US Weather Service - National Met. Center
datatype: doublearraytype
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: 57.2957795130823 kilogram meter^-2 radian^-1 north
history: T: 0000 1 Apr 2002 to 0000 12 Apr 2024 appended from datestring

References

Kalnay, E., M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, G. White, J. Woollen, Y. Zhu, A. Leetmaa, B. Reynolds, M. Chelliah, W. Ebisuzaki, W. Higgins, J. Janowiak, K. C. Mo, C. Ropelewski, J. Wang, R. Jenne, and D. Joseph. The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society, March, 1996

Last updated: Sun, 14 Apr 2024 13:55:27 GMT
Expires: Mon, 15 Apr 2024 13:40:00 GMT

Data Views

	T	X	Y
$integral dY$ $partialdiff sub Y$ $partialdiff sub X$ [ 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