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

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root mean sq anom min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum anomalies ] : Relative humidity data

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

Independent Variables (Grids)

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

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

percent

standard units*

0.01

history

min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum anomalies ] 300 mb

Averaged over T2[1949, 2013]
min over T[Jan 1949, Aug 2014]

root mean sq anom min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum anomalies ]

Averaged over Y[90N, 90S] P[1000 mb, 300 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: Wed, 15 Oct 2014 14:33:17 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT

Data Views

	X
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[surface MSL total_air_column PressureLevel ]
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[relv CBTZW CBUW CBQW v CBMZW CBVQ rhum temp vtemp qa reld vvel psi vpot phi CBUQ CBTMW CBVW u CBTW ]
root mean sq anom min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum anomalies ] [ X \|]	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
Differentiate along X
Take differences along X