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root mean sq anom ∂X [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW climatology ] : ∂X Covar. u and omega data
root mean sq anom ∂X [ 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
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 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
- 57.2957795130823 kilogram radian-1 east second-4
- history
- root mean sq anom $partialdiff sub X$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW climatology ]
- Averaged over T2[1949, 2022]
Averaged over X[1.25W, 3.75W] P[1000 mb, 100 mb]
- 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| T | Y | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[MSL
surface
total_air_column
PressureLevel
] | ||
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[vtemp
CBVQ
rhum
CBTMW
CBUW
temp
relv
CBTW
vpot
CBMZW
u
CBUQ
CBTZW
phi
qa
CBQW
reld
v
vvel
psi
CBVW
] | ||
 root mean sq anom $partialdiff sub X$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW climatology ] [ Y 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units