served from maproom.meteorwanda.gov.rw
min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW anomalies ]: Covar. v and u data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW CBMZW CBMZW CBMZW Covar. v and u from NOAA: National Oceanic and Atmospheric Adminstration.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) (360) ordered [ (0000 1 May 1980 - 0000 2 May 1980) (0000 1 Jun 1980 - 0000 2 Jun 1980) (0000 1 Jul 1980 - 0000 2 Jul 1980) ... (0002 2 Jun 2015 - 0002 3 Jun 2015)] N= 252 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
- 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
- min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW anomalies ]
- Averaged over T2[1980, 2013]
min over P[1000 mb, 10 mb]
- Averaged over T2[1980, 2013]
References
Kalnay_etal1996Last updated: Wed, 10 Jan 2018 15:23:36 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
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