data: mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW anomalies ]

served from kmddl.meteo.go.ke

mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW anomalies ]: Covar. u and omega data

mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW anomalies ].

Independent Variables (Grids)

Pressure: grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100)] :grid

Other Info

bufferwordsize

calendar

standard

CE

null

center

US Weather Service - National Met. Center

CS

null

datatype

doublearraytype

grib_name

CBUW

gribfield

GRIBgridcode

gribleveltype

100

gribNumBits

gribparam

190

gribvariable

190

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 Pa /s

standard units*

kilogram second^-4

history

mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW anomalies ]

Averaged over T2[1949, 2013]
Averaged over X[1.25W, 1.25W] Y[91.25S, 91.25N] T[Jan 1949, Aug 2014]

References

Kalnay_etal1996

Last updated: Wed, 29 May 2024 07:29:02 GMT

Data Views

	P
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[MSL total_air_column PressureLevel surface ]
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) (250) (200) (150) (100)] :grid	M
grid: /T (months since 1960-01-01) ordered (Jan 1949) to (Aug 2014) by 1.0 N= 788 pts :grid
mean [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW anomalies ][ P \|]	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 P
Differentiate along P
Take differences along P