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mean min mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ] : Virtual temperature data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp vtemp min Virtual temperature from NOAA: National Oceanic and Atmospheric Adminstration. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- VTMP
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 13
- gribparam
- 12
- gribvariable
- 12
- 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
- Kelvin_scale
- standard units*
- degree_Kelvin above 0
- history
- min mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ]
- Averaged over X[1.25W, 1.25W] P[250.0 mb, 1050.0 mb]
min over Y[90N, 90S]
mean min mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ]- Averaged over T[Jan 1980, Aug 2014]
- Averaged over X[1.25W, 1.25W] P[250.0 mb, 1050.0 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
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