data: root mean sq [ $integral dX$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW anomalies ) climatology ]

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root mean sq [ ∫dX ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW anomalies ) climatology ]: Covar. spec. hum and omega data

root mean sq [ ∫dX ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW anomalies ) climatology ].

Independent Variables (Grids)

Pressure: grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300)] :grid
Longitude (longitude): grid: /X (degree_east) ordered (1.25W) to (1.25W) by 2.5 N= 145 pts :grid
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

doublearraytype

grib_name

CBQW

gribfield

GRIBgridcode

gribleveltype

100

gribNumBits

gribparam

195

gribvariable

195

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

0.0174532925199433 kilogram meter^-1 radian east second^-3

history

$integral dX$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW anomalies ] climatology

Averaged over T2[1949, 2022]
Averaged over T2[1949, 2022]

root mean sq [ $integral dX$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW anomalies ) climatology ]

Averaged over T[Jan, Dec]

References

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Last updated: Mon, 27 Mar 2023 13:29:42 GMT

Data Views

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