data: root mean sq detrended-bfl [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ]

root mean sq detrended-bfl [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ] : Covar. u and T data

root mean sq detrended-bfl [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ] .

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: 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: K m /s
standard units*: ( degree_Kelvin above 0 ) meter second^-1
history: Averaged over P[-20.9375 mb, 1030.938 mb] T[Jan 1949, Aug 2014]

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: Wed, 29 May 2024 07:29:02 GMT

Data Views

	X	Y
root mean sq detrended-bfl [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ] [ 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

Average over X Y | 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