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root mean sq [ ∫dX ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW ) climatology ]: Covar. T and omega data
root mean sq [ ∫dX ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW ) climatology ].Independent Variables (Grids)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (1.25W) to (1.25W) by 2.5 N= 145 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- CBTW
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 194
- gribvariable
- 194
- 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
- 0.0174532925199433 ( degree_Kelvin above 0 ) kilogram meter-1 radian east second-3
- history
- root mean sq [ $integral dX$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW ) climatology ]
- Averaged over T2[1949, 2022]
Averaged over Y[91.25S, 91.25N] T[Jan, Dec]
- Averaged over T2[1949, 2022]
References
Kalnay, E., M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, G. White, J. Woollen, Y. Zhu, A. Leetmaa, B. Reynolds, M. Chelliah, W. Ebisuzaki, W. Higgins, J. Janowiak, K. C. Mo, C. Ropelewski, J. Wang, R. Jenne, and D. Joseph. The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society, March, 1996
Last updated: Mon, 27 Mar 2023 13:29:42 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| P | X | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[CBTW
CBVQ
CBUQ
relv
vtemp
qa
CBQW
reld
CBMZW
rhum
CBTZW
CBTMW
vpot
vvel
CBUW
temp
u
phi
CBVW
v
psi
] | ||
 root mean sq [ $integral dX$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW ) climatology ][ X P |] | 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 P
- Differentiate along X P
- Take differences along X P
RMS (root mean square with mean *not* removed) over X P | X P |
RMSA (root mean square with mean removed) over X P | X P |
Maximum over X P | X P |
Minimum over X P | X P |
Detrend (best-fit-line) over X P | X P |
Note on units