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min ∂Y [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW climatology ] : ∂Y Covar. v and u data
min ∂Y [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW climatology ] .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
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid
Other Info
- 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
- 57.2957795130823 meter2 radian-1 north second-2
- history
- min $partialdiff sub Y$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW climatology ]
- Averaged over T2[1949, 2024]
min over X[0, 2.5W] T[Jan, Dec]
- Averaged over T2[1949, 2024]
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: Tue, 02 Dec 2025 20:59:10 GMT
Expires: Sat, 03 Jan 2026 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| P | Y | |
 min $partialdiff sub Y$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW climatology ] [ Y P |] | 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 Y P
- Differentiate along Y P
- Take differences along Y P
RMS (root mean square with mean *not* removed) over Y P | Y P |
RMSA (root mean square with mean removed) over Y P | Y P |
Maximum over Y P | Y P |
Minimum over Y P | Y P |
Detrend (best-fit-line) over Y P | Y P |
Note on units