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root mean sq anom [ ∂T ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel v ) anomalies ]: ∂T meridional wind data
root mean sq anom [ ∂T ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel v ) anomalies ].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
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- VGRD
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 12
- gribparam
- 34
- gribvariable
- 34
- 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
- 12 meter second-1 year-1
- history
- root mean sq anom [ $partialdiff sub T$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel v ) anomalies ]
- Averaged over T2[16 Jan 1949 - 15 Jan 1950, 16 Jan 2013 - 15 Jan 2014]
Averaged over T[1159 3 Jan 1949 - 1159 4 Jan 1949, 1202 15 Apr 2015 - 1202 16 Apr 2015]
- Averaged over T2[16 Jan 1949 - 15 Jan 1950, 16 Jan 2013 - 15 Jan 2014]
References
Kalnay_etal1996Last updated: Wed, 20 Mar 2019 09:34:10 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| P | X | Y | |
 root mean sq anom [ $partialdiff sub T$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel v ) anomalies ][ 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
RMS (root mean square with mean *not* removed) over X Y P | X Y X P Y P | X Y P |
RMSA (root mean square with mean removed) over X Y P | X Y X P Y P | X Y P |
Maximum over X Y P | X Y X P Y P | X Y P |
Minimum over X Y P | X Y X P Y P | X Y P |
Detrend (best-fit-line) over X Y P | X Y X P Y P | X Y P |
Note on units