served from maproom.nimet.gov.ng
mean [ ∂T ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ anomalies ) climatology ]: ∂T Covar. v and specific hum data
mean [ ∂T ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ anomalies ) climatology ].Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Feb) to (Jan) by 1.0 N= 12 pts :grid
- 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
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- CBVQ
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 193
- gribvariable
- 193
- 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
- 12 meter second-1 year-1
- history
- $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ anomalies ] climatology
- Averaged over T2[1949, 2024]
Averaged over T2[Feb 1949 - Jan 1950, Feb 2024 - Jan 2025]
mean [ $partialdiff sub T$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ anomalies ) climatology ]- Averaged over P[250.0 mb, 1050.0 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 | |
 mean [ $partialdiff sub T$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ anomalies ) 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