served from maproom.meteorwanda.gov.rw
max ∂T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW ] : ∂T Covar. v and u data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW CBMZW partial_T ∂T Covar. v and u from NOAA: National Oceanic and Atmospheric Adminstration.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (1200 16 Jan 1980 - 1200 15 Feb 1980) (1200 15 Feb 1980 - 1200 16 Mar 1980) (1200 16 Mar 1980 - 2400 15 Apr 1980) ... (1200 16 Jul 2014 - 1200 16 Aug 2014)] N= 415 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
- center
- US Weather Service - National Met. Center
- 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
- 1.15740740740741×10-05 meter2 second-3
- history
- max over P[1000 mb, 10 mb]
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| T | X | Y | |
 max $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW ] [ 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