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root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW climatology ]: Covar. u and omega data
root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW climatology ].Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (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 (88.75N) to (88.75S) by 2.5 N= 72 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- 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
- m /s Pa /s
- standard units*
- kilogram second-4
- history
- root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW climatology ]
- Averaged over T2[1949, 2013]
Averaged over P[1000 mb, 100 mb]
- Averaged over T2[1949, 2013]
References
Kalnay_etal1996Last updated: Thu, 02 Nov 2023 13:29:44 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 | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[MSL
surface
total_air_column
PressureLevel
] | |||
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[psi
reld
CBQW
CBVQ
CBTZW
CBTMW
relv
temp
vtemp
CBMZW
CBUQ
vpot
qa
CBVW
u
CBTW
phi
rhum
vvel
CBUW
v
] | |||
 root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW 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