data: root mean sq root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ]

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

root mean sq root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ] .

Independent Variables (Grids)

Pressure: grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300)] :grid

Other Info

bufferwordsize

calendar

standard

CE

null

center

US Weather Service - National Met. Center

CS

null

datatype

doublearraytype

grib_name

CBVQ

gribfield

GRIBgridcode

gribleveltype

100

gribNumBits

gribparam

193

gribvariable

193

PDS_TimeRange

113

pointwidth

1.0

process

62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run

PTVersion

subcenter

NCEP Ensemble Products

units

m /s

standard units*

meter second^-1

history

root mean sq root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ]

Averaged over Y[90N, 90S] T[Jan 1949, Aug 2014]
Averaged over X[1.25W, 1.25W]

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, 15 Oct 2014 14:33:17 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT

Data Views

	P
root mean sq root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ] [ P \|]	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 P
Differentiate along P
Take differences along P