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∫dT min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW anomalies ] climatology: Covar. v and u data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW CBMZW min int_dT Covar. v and u from NOAA: National Oceanic and Atmospheric Adminstration.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) 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
- 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
- 0.0833333333333333 meter2 second-2 year
- history
- $integral dT$ min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW anomalies ]
- Averaged over T2[1980, 2013]
min over P[1000 mb, 10 mb]
$integral dT$ min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW anomalies ] climatology- Averaged over T2[16 Dec 1979 - 15 Dec 1980, 16 Dec 2012 - 15 Dec 2013]
- 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| T | X | Y | |
 $integral dT$ min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW anomalies ] climatology[ X Y T |] | M | M | M |
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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