data: root mean sq min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel u ]

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root mean sq min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel u ] : zonal wind data

root mean sq min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel u ] .

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid

Other Info

bufferwordsize

calendar

standard

CE

null

center

US Weather Service - National Met. Center

CS

null

datatype

doublearraytype

grib_name

UGRD

gribfield

GRIBgridcode

gribleveltype

100

gribNumBits

gribparam

gribvariable

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

m /s

standard units*

meter second^-1

history

root mean sq min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel u ]

min over X[0, 2.5W] P[1000 mb, 10 mb]
Averaged over 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

	Y
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[vpot qa CBQW vvel CBMZW CBTZW CBTMW phi u vtemp CBUW rhum v psi CBVW temp relv CBTW CBVQ CBUQ reld ]
grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid	M
grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100) (70) (50) (30) (20) (10)] :grid
grid: /T (months since 1960-01-01) ordered (Jan 1949) to (Aug 2014) by 1.0 N= 788 pts :grid
root mean sq min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel u ] [ Y \|]	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
Differentiate along Y
Take differences along Y