mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ anomalies ]: Covar. v and specific hum data
mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ anomalies ].
is
Independent Variables (Grids)
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
- m /s
- standard units*
- meter second-1
- history
- mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ anomalies ]
- Averaged over T2[1949, 2022]
Averaged over X[1.25W, 1.25W] Y[91.25S, 91.25N] P[250.0 mb, 1050.0 mb] T[Jan 1949, Feb 2023]
References
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Kalnay_etal1996
Last updated: Mon, 27 Mar 2023 13:29:42 GMT
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