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min ∂Y ∂P [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW climatology ] : ∂Y ∂P Covar. u and omega data
min ∂Y ∂P [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW 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 (1.25E) to (1.25W) by 2.5 N= 144 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid
Other Info
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- realarraytype
- grib_name
- CBUW
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 190
- gribvariable
- 190
- 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
- 0.572957795130823 meter radian-1 north second-2
- history
- min $partialdiff sub Y$ $partialdiff sub P$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW climatology ]
- Averaged over T2[1949, 2022]
min over P[962.5 mb, 125.0 mb]
- Averaged over T2[1949, 2022]
References
Redland error: Cannot add statement to modelLast 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 | |
 min $partialdiff sub Y$ $partialdiff sub P$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBUW 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