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mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ] anomalies: Pressure data
mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ] anomalies.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) (360) ordered [ (2359 18 Nov 1948 - 2359 19 Nov 1948) (2359 17 Jan 1949 - 2359 18 Jan 1949) (2359 18 Mar 1949 - 2359 19 Mar 1949) ... (0002 2 Jun 2015 - 0002 3 Jun 2015)] N= 476 pts :grid
- 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
- PRES
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 1
- gribNumBits
- 16
- gribparam
- 1
- gribvariable
- 1
- 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
- standard units*
- kilogram meter-1 second-2
- history
- mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ]
Averaged over X[1.25W, 1.25W]
- mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ] climatology
- Averaged over X[1.25W, 1.25W]
Averaged over T2[1949, 2013]
- Averaged over X[1.25W, 1.25W]
- mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ]
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, 15 Oct 2014 14:33:17 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
data as colors
data as contours
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 T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units