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min [ ∫dT ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ) anomalies ]: Pressure data
min [ ∫dT ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ) anomalies ].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
- 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
- 0.0833333333333333 kilogram meter-1 second-2 year
- history
- min [ $integral dT$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ) anomalies ]
- Averaged over T2[16 Dec 1948 - 15 Dec 1949, 16 Dec 2021 - 15 Dec 2022]
min over X[0, 2.5W] T[0000 1 Jan 1949, 0000 1 Mar 2023]
- Averaged over T2[16 Dec 1948 - 15 Dec 1949, 16 Dec 2021 - 15 Dec 2022]
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: Mon, 27 Mar 2023 13:29:42 GMT
Data Views
Views
line plots
color bars
scatter| Y | |
 min [ $integral dT$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ) anomalies ][ Y |] | M |
|---|
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