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root mean sq anom [ root mean sq anom mean ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel phi ) climatology ]: Geopotential height data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel phi phi phi phi Geopotential height from NOAA: National Oceanic and Atmospheric Adminstration.Independent Variables (Grids)
- 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
- HGT
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 12
- gribparam
- 7
- gribvariable
- 7
- 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
- gpm
- standard units*
- meter
- history
- root mean sq anom mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel phi ]
- Averaged over P[-20.9375 mb, 1030.938 mb]
Averaged over X[0, 2.5W]
root mean sq anom mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel phi ] climatology- Averaged over T2[1980, 2013]
root mean sq anom [ root mean sq anom mean ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel phi ) climatology ]- Averaged over T[Jan, Dec]
- Averaged over P[-20.9375 mb, 1030.938 mb]
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, 10 Jan 2018 15:23:36 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter
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
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units