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root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vvel climatology ]: Pressure vertical velocity data
root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vvel climatology ]. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- VVEL
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 13
- gribparam
- 39
- gribvariable
- 39
- 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
- Pa /s
- standard units*
- kilogram meter-1 second-3
- history
- root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vvel climatology ]
- Averaged over T2[1949, 2013]
Averaged over X[1.25W, 1.25W] Y[91.25S, 91.25N] P[59.09091 mb, 1040.909 mb] T[Jan, Dec]
- Averaged over T2[1949, 2013]
References
page 0: illegal page type or format PANIC: Invalid argument PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery Kalnay_etal1996Last 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[surface
PressureLevel
MSL
total_air_column
] |
 root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vvel climatology ][ |] |
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
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