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root mean sq detrended-bfl [ ∂X ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ) climatology ] : ∂X Virtual temperature data
root mean sq detrended-bfl [ ∂X ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ) climatology ] .Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (1.25W) to (3.75W) 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
- 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
- 57.2957795130823 degree_Kelvin radian-1 east
- history
- root mean sq detrended-bfl [ $partialdiff sub X$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ) climatology ]
- Averaged over T2[1949, 2022]
Averaged over P[250.0 mb, 1050.0 mb]
- Averaged over T2[1949, 2022]
References
Kalnay_etal1996Last updated: Mon, 27 Mar 2023 13:29:42 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 root mean sq detrended-bfl [ $partialdiff sub X$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ) climatology ] [ X Y 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 Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units