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∂T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic MSL pressure climatology ]: ∂T Pressure data
∂T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic MSL pressure climatology ].Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (1200 16 Jan 1960 - 1200 15 Feb 1960) (1200 15 Feb 1960 - 1200 16 Mar 1960) (1200 16 Mar 1960 - 2400 15 Apr 1960) (0000 16 Apr 1960 - 1200 16 May 1960) (1200 16 May 1960 - 2400 15 Jun 1960) (0000 16 Jun 1960 - 1200 16 Jul 1960) (1200 16 Jul 1960 - 1200 16 Aug 1960) (1200 16 Aug 1960 - 2400 15 Sep 1960) (0000 16 Sep 1960 - 1200 16 Oct 1960) (1200 16 Oct 1960 - 2400 15 Nov 1960) (0000 16 Nov 1960 - 1200 16 Dec 1960)] :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 (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- realarraytype
- grib_name
- PRES
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 102
- gribNumBits
- 13
- gribparam
- 1
- gribvariable
- 1
- 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
- 1.15740740740741×10-05 kilogram meter-1 second-3
- history
- Averaged over T2[1949, 2020]
References
Kalnay_etal1996Last updated: Thu, 26 Oct 2023 14:58:08 GMT
Expires: Sat, 03 Jul 2021 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic MSL pressure 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