data: root mean sq $partialdiff sub Y$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVW ]

root mean sq ∂_Y [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVW ] : ∂_Y Covar. v and omega data

root mean sq ∂_Y [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVW ] .

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1949) to (Oct 2025) by 1.0 N= 922 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid

Other Info

bufferwordsize: 8
calendar: standard
CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: doublearraytype
grib_name: CBVW
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 16
gribparam: 191
gribvariable: 191
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 north second^-4
history: Averaged over X[1.25W, 1.25W] P[59.09091 mb, 1040.909 mb]

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, 03 Nov 2025 15:04:49 GMT
Expires: Wed, 03 Dec 2025 00:00:00 GMT

Data Views

	T	Y
root mean sq $partialdiff sub Y$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVW ] [ 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

Average over Y T | 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