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root mean sq [ ∫dT ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ) anomalies ]: Covar. v and specific hum data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ int_dT int_dT Covar. v and specific hum from NOAA: National Oceanic and Atmospheric Adminstration.Independent Variables (Grids)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1980) to (0000 1 Sep 2014) by 1.0 N= 417 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- CBVQ
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 193
- gribvariable
- 193
- 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 meter second-1 year
- history
- root mean sq [ $integral dT$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ) anomalies ]
- Averaged over T2[16 Dec 1979 - 15 Dec 1980, 16 Dec 2012 - 15 Dec 2013]
Averaged over X[1.25W, 1.25W] Y[91.25S, 91.25N]
- Averaged over T2[16 Dec 1979 - 15 Dec 1980, 16 Dec 2012 - 15 Dec 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
line plots
color bars| P | T | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[surface
PressureLevel
MSL
total_air_column
] | ||
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[CBTMW
CBTW
relv
CBTZW
CBUW
CBQW
v
CBMZW
CBVQ
rhum
temp
qa
reld
vpot
vtemp
psi
vvel
phi
CBUQ
u
CBVW
] | ||
 root mean sq [ $integral dT$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ) anomalies ][ | P 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 P T
- Differentiate along P T
- Take differences along P T
RMS (root mean square with mean *not* removed) over P T | P T |
RMSA (root mean square with mean removed) over P T | P T |
Maximum over P T | P T |
Minimum over P T | P T |
Detrend (best-fit-line) over P T | P T |
Note on units