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min ∂T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW anomalies ] : ∂T Covar. u and omega data
min ∂T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW anomalies ] .Independent Variables (Grids)
- 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 (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- bufferwordsize
- 4
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- realarraytype
- 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
- 12 kilogram second-4 year-1
- history
- min $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW anomalies ]
- Averaged over T2[1949, 2022]
min over P[1000 mb, 100 mb] T[16 Jan 1949 - 15 Feb 1949, 16 Jan 2023 - 15 Feb 2023]
- 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
colors with land
contours with land
colors with coasts| X | Y | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[MSL
surface
total_air_column
PressureLevel
] | ||
| 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
] | ||
 min $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW anomalies ] [ X Y |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units