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

root mean sq mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel phi ] : Geopotential height data

NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel phi phi Geopotential height from NOAA: National Oceanic and Atmospheric Adminstration.

Variables Indépendantes (Grilles)

Longitude (longitude): grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid

Autres Informations

bufferwordsize

calendar

standard

CE

null

center

US Weather Service - National Met. Center

CS

null

datatype

doublearraytype

grib_name

HGT

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

gpm

standard units*

meter

history

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

Averaged over P[-20.9375 mb, 1030.938 mb]
Averaged over T[Jan 1980, Aug 2014]

Références

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

Dernière Mise à jour: Wed, 10 Jan 2018 15:23:36 GMT
Expire: Fri, 03 Oct 2014 00:00:00 GMT

Data Views

	X	Y
root mean sq mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel phi ] [ X Y \|]	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 Y
Differentiate along X Y
Take differences along X Y

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

Note on units