data: $integral dX$ $integral dY$ root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ]

∫dX ∫dY root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ] : Covar. v and specific hum data

NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ CBVQ int_dY Covar. v and specific hum from NOAA: National Oceanic and Atmospheric Adminstration.

Independent Variables (Grids)

Pressure: grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300)] :grid
Longitude (longitude): grid: /X (degree_east) ordered (1.25W) to (1.25W) by 2.5 N= 145 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (91.25N) to (91.25S) by 2.5 N= 74 pts :grid

Other Info

bufferwordsize: 8
calendar: standard
CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: doublearraytype
grib_name: CBVQ
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 16
gribparam: 193
gribvariable: 193
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: 0.000304617419786709 meter radian² east second^-1
history: Averaged over T[Jan 1980, Aug 2014]

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: Wed, 10 Jan 2018 15:23:36 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT

Data Views

	P	X	Y
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[surface PressureLevel MSL total_air_column ]
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[CBTMW CBTW relv CBTZW CBUW CBQW v CBMZW CBVQ rhum temp qa reld vpot vtemp psi vvel phi CBUQ u CBVW ]
$integral dX$ $integral dY$ root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ] [ X Y P \|]	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 P
Differentiate along X Y P
Take differences along X Y P