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

root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ]: Virtual temperature data

root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ]. is

Independent Variables (Grids)

Other Info

bufferwordsize: 8
calendar: standard
CE: null
center: US Weather Service - National Met. Center
CS: null
datatype: doublearraytype
grib_name: VTMP
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 13
gribparam: 12
gribvariable: 12
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: Kelvin_scale
standard units*: degree_Kelvin above 0
history: Averaged over X[0, 2.5W] Y[90N, 90S] P[1000 mb, 300 mb] T[Jan 1949, Jul 2015]

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: Tue, 04 Aug 2015 19:02:49 GMT
Expires: Thu, 03 Sep 2015 00:00:00 GMT

Data Views

NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[ ]

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

grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300)] :grid

grid: /T (months since 1960-01-01) ordered (Jan 1949) to (Jul 2015) by 1.0 N= 799 pts :grid

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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
Differentiate along
Take differences along

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

Note on units