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

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root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW anomalies ]: Covar. T and omega data

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

Independent Variables (Grids)

Other Info

bufferwordsize

calendar

standard

CE

null

center

US Weather Service - National Met. Center

CS

null

datatype

doublearraytype

grib_name

CBTW

gribfield

GRIBgridcode

gribleveltype

100

gribNumBits

gribparam

194

gribvariable

194

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

K Pa /s

standard units*

( degree_Kelvin above 0 ) kilogram meter^-1 second^-3

history

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

Averaged over T2[1949, 2013]
Averaged over X[0, 2.5W] Y[90N, 90S] P[1000 mb, 100 mb] T[Jan 1949, Aug 2014]

References

Kalnay_etal1996

Last updated: Thu, 02 Nov 2023 13:29:44 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT

Data Views

NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[ ]

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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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units