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root mean sq anom detrended-bfl ∂X [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel psi ] : ∂X Stream function data
root mean sq anom detrended-bfl ∂X [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel psi ] .Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1949) to (Feb 2023) by 1.0 N= 890 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
- STRM
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 35
- gribvariable
- 35
- 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 east second-1
- history
- Averaged over X[1.25W, 3.75W] P[1000 mb, 10 mb]
References
Kalnay_etal1996Last updated: Mon, 27 Mar 2023 13:29:42 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 root mean sq anom detrended-bfl $partialdiff sub X$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel psi ] [ Y | T] | 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 T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units