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mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp anomalies ]: Virtual temperature data
mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp anomalies ].Independent Variables (Grids)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300)] :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
- VTMP
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 13
- gribparam
- 12
- gribvariable
- 12
- 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
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp anomalies ]
- Averaged over T2[16 Jan 1949 - 15 Jan 1950, 16 Jan 2022 - 15 Jan 2023]
Averaged over X[1.25W, 1.25W] T[16 Jan 1949 - 15 Feb 1949, 16 Jan 2023 - 15 Feb 2023]
- Averaged over T2[16 Jan 1949 - 15 Jan 1950, 16 Jan 2022 - 15 Jan 2023]
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 | Y | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[vvel
CBVQ
CBTMW
CBUW
relv
CBTW
vpot
vtemp
CBMZW
temp
CBUQ
qa
CBTZW
CBQW
phi
reld
u
v
CBVW
psi
rhum
] | ||
 mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp anomalies ][ Y 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 Y P
- Differentiate along Y P
- Take differences along Y P
RMS (root mean square with mean *not* removed) over Y P | Y P |
RMSA (root mean square with mean removed) over Y P | Y P |
Maximum over Y P | Y P |
Minimum over Y P | Y P |
Detrend (best-fit-line) over Y P | Y P |
Note on units