data: min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW anomalies ]

served from data-library.gov.ls

min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW anomalies ]: Covar. T and omega data

min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW anomalies ].

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

realarraytype

grib_name

CBTW

gribfield

GRIBgridcode

gribleveltype

100

gribNumBits

gribparam

194

gribvariable

194

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

K Pa /s

standard units*

( degree_Kelvin above 0 ) kilogram meter^-1 second^-3

history

min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW anomalies ]

Averaged over T2[1949, 2021]
min over X[0, 2.5W] P[1000 mb, 100 mb] T[Jan 1949, Dec 2021]

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, 09 Mar 2022 20:30:18 GMT
Expires: Thu, 03 Feb 2022 00:00:00 GMT

Data Views

	Y
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[total_air_column MSL PressureLevel surface ]
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[CBMZW phi CBUQ v qa psi vvel CBVW CBTW rhum vpot CBUW reld CBQW CBVQ CBTZW CBTMW relv temp u vtemp ]
min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW anomalies ][ 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