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

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

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

Independent Variables (Grids)

Pressure: grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100)] :grid
Latitude (latitude): grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid

Other Info

bufferwordsize: 8
calendar: standard
CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: doublearraytype
grib_name: CBTW
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 16
gribparam: 194
gribvariable: 194
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: K Pa /s
standard units*: ( degree_Kelvin above 0 ) kilogram meter^-1 second^-3
history: Averaged over X[1.25W, 1.25W] T[Jan 1949, Aug 2014]

References

Kalnay_etal1996

Last updated: Wed, 20 Mar 2019 09:34:10 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT

Data Views

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

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

Note on units