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root mean sq anom root mean sq mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ] : Velocity potential data
root mean sq anom root mean sq mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ] . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- VPOT
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 36
- gribvariable
- 36
- 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
- m2 /s
- standard units*
- meter2 second-1
- history
- root mean sq mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ]
- Averaged over T[Jan 1949, Aug 2014]
Averaged over Y[91.25S, 91.25N]
root mean sq anom root mean sq mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ]- Averaged over X[0, 2.5W] P[1000 mb, 10 mb]
- Averaged over T[Jan 1949, Aug 2014]
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, 29 May 2024 07:29:02 GMT
Data Views
 root mean sq anom root mean sq mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ] [ |] |
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