data: mean $integral dX$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ]

mean ∫dX [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ] : Covar. u and T data

mean ∫dX [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ] .

Independent Variables (Grids)

Pressure: grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100) (70) (50) (30) (20) (10)] :grid
Longitude (longitude): grid: /X (degree_east) ordered (1.25W) to (1.25W) by 2.5 N= 145 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: CBTZW
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 16
gribparam: 197
gribvariable: 197
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 meter radian east second^-1
history: Averaged over T[16 Jan 1949 - 15 Feb 1949, 16 Jan 2023 - 15 Feb 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

	P	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 ]
mean $integral dX$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ] [ X Y P \|]	M	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 P
Differentiate along X Y P
Take differences along X Y P