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root mean sq root mean sq anom ∂Y [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ] : ∂Y Velocity potential data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot vpot partial_Y partial_Y ∂Y Velocity potential from NOAA: National Oceanic and Atmospheric Adminstration.Independent Variables (Grids)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100) (70) (50) (30) (20) (10)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- VPOT
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 36
- gribvariable
- 36
- 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
- 57.2957795130823 meter2 radian-1 north second-1
- history
- root mean sq root mean sq anom $partialdiff sub Y$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ]
- Averaged over X[0, 2.5W]
Averaged over T[Jan 1980, Aug 2014]
- Averaged over X[0, 2.5W]
References
Kalnay_etal1996Last updated: Wed, 10 Jan 2018 15:23:36 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| P | Y | |
 root mean sq root mean sq anom $partialdiff sub Y$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vpot ] [ Y P |] | 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 Y P
- Differentiate along Y P
- Take differences along Y P
RMS (root mean square with mean *not* removed) over Y P | Y P |
RMSA (root mean square with mean removed) over Y P | Y P |
Maximum over Y P | Y P |
Minimum over Y P | Y P |
Detrend (best-fit-line) over Y P | Y P |
Note on units