data: root mean sq [ $partialdiff sub P$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ) climatology ]

served from 197.155.140.164

root mean sq [ ∂_P ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ) climatology ]: ∂_P Covar. u and T data

root mean sq [ ∂_P ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ) climatology ].

Independent Variables (Grids)

Time (time): grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid

Other Info

bufferwordsize

calendar

standard

CE

null

center

US Weather Service - National Met. Center

CS

null

datatype

doublearraytype

grib_name

CBTZW

gribfield

GRIBgridcode

gribleveltype

100

gribNumBits

gribparam

197

gribvariable

197

PDS_TimeRange

113

pointwidth

1.0

process

62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run

PTVersion

subcenter

NCEP Ensemble Products

units

0.01 degree_Kelvin kilogram^-1 meter² second

history

root mean sq [ $partialdiff sub P$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ) climatology ]

Averaged over T2[1949, 2022]
Averaged over Y[91.25S, 91.25N] P[10 mb, 1000 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, 27 Mar 2023 13:29:42 GMT

Data Views

	T	X
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 ]
root mean sq [ $partialdiff sub P$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ) climatology ][ X 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 X T
Differentiate along X T
Take differences along X T

Average over X T | X T |
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |

Note on units