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root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW anomalies ]: Covar. T and omega data
root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW anomalies ].Independent Variables (Grids)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 1949 - 15 Feb 1949) to (16 Jul 2014 - 15 Aug 2014) by 1.0 N= 787 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- CBTW
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 194
- gribvariable
- 194
- 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
- degree_Kelvin kilogram meter-1 second-3
- history
- root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW anomalies ]
- Averaged over T2[1949, 2013]
Averaged over Y[91.25S, 91.25N]
- Averaged over T2[1949, 2013]
References
Kalnay_etal1996Last updated: Thu, 02 Nov 2023 13:29:44 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
data as colors
data as contours| P | T | X | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[MSL
surface
total_air_column
PressureLevel
] | |||
 root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTW anomalies ][ X | P T] | 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 P T
- Differentiate along X P T
- Take differences along X P T
RMS (root mean square with mean *not* removed) over X P T | X P X T P T | X P T |
RMSA (root mean square with mean removed) over X P T | X P X T P T | X P T |
Maximum over X P T | X P X T P T | X P T |
Minimum over X P T | X P X T P T | X P T |
Detrend (best-fit-line) over X P T | X P X T P T | X P T |
Note on units