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root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUQ anomalies climatology ]: Covar. u and specific hum data
root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUQ anomalies climatology ].Independent Variables (Grids)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300)] :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
- CBUQ
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 192
- gribvariable
- 192
- 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
- standard units*
- meter second-1
- history
- NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUQ anomalies climatology
- Averaged over T2[1949, 2013]
Averaged over T2[1949, 2013]
root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUQ anomalies climatology ]- Averaged over T[Jan, Dec]
- 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| P | X | Y | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[surface
PressureLevel
MSL
total_air_column
] | |||
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[psi
CBTW
rhum
CBUW
reld
CBQW
CBVQ
CBTZW
CBTMW
relv
temp
vtemp
vpot
CBMZW
CBUQ
u
phi
qa
vvel
v
CBVW
] | |||
 root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUQ anomalies climatology ][ X Y P |] | 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 P
- Differentiate along X Y P
- Take differences along X Y P
RMS (root mean square with mean *not* removed) over X Y P | X Y X P Y P | X Y P |
RMSA (root mean square with mean removed) over X Y P | X Y X P Y P | X Y P |
Maximum over X Y P | X Y X P Y P | X Y P |
Minimum over X Y P | X Y X P Y P | X Y P |
Detrend (best-fit-line) over X Y P | X Y X P Y P | X Y P |
Note on units