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max [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW anomalies ]: Covar. spec. hum and omega data
max [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW anomalies ].Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- bufferwordsize
- 4
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- realarraytype
- grib_name
- CBQW
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 195
- gribvariable
- 195
- 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 /s
- standard units*
- kilogram meter-1 second-3
- history
- max [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW anomalies ]
- Averaged over T2[1949, 2013]
max over P[1000 mb, 300 mb] T[2359 18 Nov 1948 - 2359 19 Nov 1948, 0002 2 Jun 2015 - 0002 3 Jun 2015]
- Averaged over T2[1949, 2013]
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, 01 Feb 2023 14:07:40 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[PressureLevel
surface
MSL
total_air_column
] | ||
 max [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW anomalies ][ X Y |] | M | 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 X Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units