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max [ ∫dT ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ) climatology ]: Pressure data
max [ ∫dT ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ) climatology ].Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 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
- 1
- gribNumBits
- 16
- 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
- 0.0833333333333333 kilogram meter-1 second-2 year
- history
- max [ $integral dT$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ) climatology ]
- Averaged over T2[16 Dec 1948 - 15 Dec 1949, 16 Dec 2021 - 15 Dec 2022]
max over X[0, 2.5W]
- Averaged over T2[16 Dec 1948 - 15 Dec 1949, 16 Dec 2021 - 15 Dec 2022]
References
Kalnay_etal1996Last updated: Mon, 27 Mar 2023 13:29:42 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | |
 grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid | ||
| grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid | M | |
| grid: /T (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 pts :grid | M | |
 max [ $integral dT$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ) climatology ][ 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