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max [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW anomalies ]: Covar. v and u data
max [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW anomalies ].Independent Variables (Grids)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100) (70) (50) (30) (20) (10)] :grid
Other Info
- bufferwordsize
- 4
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- realarraytype
- grib_name
- CBMZW
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 196
- gribvariable
- 196
- 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
- m2 /s2
- standard units*
- meter2 second-2
- history
- max [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW anomalies ]
- Averaged over T2[1949, 2022]
max over X[0, 2.5W] Y[90N, 90S] T[Jan 1949, Feb 2023]
- Averaged over T2[1949, 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| P | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[MSL
surface
PressureLevel
total_air_column
] | |
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[relv
temp
vvel
CBMZW
CBVW
qa
reld
rhum
CBQW
CBTZW
vpot
CBTMW
vtemp
CBUW
u
phi
CBVQ
v
CBUQ
psi
CBTW
] | |
 max [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW anomalies ][ | P] | 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 P
- Differentiate along P
- Take differences along P
RMS (root mean square with mean *not* removed) over P |
RMSA (root mean square with mean removed) over P |
Maximum over P |
Minimum over P |
Detrend (best-fit-line) over P |
Note on units