served from maproom.meteorwanda.gov.rw
max [ mean ∂P ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW ) climatology ]: ∂P Covar. u and omega data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW CBUW partial_P partial_P partial_P ∂P Covar. u and omega from NOAA: National Oceanic and Atmospheric Adminstration.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 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
- CBUW
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 190
- gribvariable
- 190
- 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
- 0.01 meter second-2
- history
- mean $partialdiff sub P$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW ] climatology
- Averaged over P[100 mb, 1000 mb]
Averaged over T2[1980, 2013]
max [ mean $partialdiff sub P$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW ) climatology ]- max over X[0, 2.5W]
- Averaged over P[100 mb, 1000 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
line plots
color bars| T | Y | |
 max [ mean $partialdiff sub P$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW ) climatology ][ Y T |] | 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 T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units