∫dX root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp anomalies ] : Virtual temperature data
∫dX root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp anomalies ] .
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
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
- 0.0174532925199433 degree_Kelvin radian east
- history
- $integral dX$ root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp anomalies ]
- Averaged over T2[1949, 2021]
Averaged over Y[90N, 90S] T[Jan 1949, Dec 2021]
References
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Kalnay_etal1996
Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Expires: Thu, 03 Feb 2022 00:00:00 GMT
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
P
- Differentiate along X
P
- Take differences along X
P
Average over
X
P
|
X P
|
RMS (root mean square with mean *not* removed) over
X
P
|
X P
|
RMSA (root mean square with mean removed) over
X
P
|
X P
|
Maximum over
X
P
|
X P
|
Minimum over
X
P
|
X P
|
Detrend (best-fit-line) over
X
P
|
X P
|
Note on units