served from maproom.nimet.gov.ng
min [ ∫dX ∂P ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVW ) climatology ]: ∂P Covar. v and omega data
min [ ∫dX ∂P ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVW ) climatology ].Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (1.25W) to (1.25W) by 2.5 N= 145 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- realarraytype
- grib_name
- CBVW
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 191
- gribvariable
- 191
- 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
- 0.000174532925199433 meter radian east second-2
- history
- min [ $integral dX$ $partialdiff sub P$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVW ) climatology ]
- Averaged over T2[1949, 2024]
min over P[962.5 mb, 125.0 mb]
- Averaged over T2[1949, 2024]
References
Kalnay_etal1996Last 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
colors with land
contours with land
colors with coasts| T | X | Y | |
 min [ $integral dX$ $partialdiff sub P$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVW ) climatology ][ X Y T |] | M | 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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units