served from IRI/LDEO Climate Data Library
∂Y ∫dX [ NOAA NCEP-NCAR CDAS-1 mc6190 Intrinsic MSL pressure ] : ∂Y Pressure data
mc6190 Intrinsic MSL pressure pressure int_dX ∂Y Pressure from NOAA NCEP-NCAR CDAS-1: Climate Data Assimilation System I; NCEP-NCAR Reanalysis Project.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) by 1.0 N= 12 pts :grid
- Longitude
- grid: /X (degree_east) ordered (1.25W) to (1.25W) by 2.5 N= 145 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid
Other Info
- center
- US Weather Service - National Met. Center
- datatype
- realarraytype
- grib_name
- PRES
- process
- 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
- PTVersion
- 1
- subcenter
- NCEP Reanalysis Project
- units
- Pa
- standard units*
- kilogram meter-1 second-2
- history
- Averaged over T2[1961, 1990]
References
Kalnay_etal1996Last updated: Mon, 12 Sep 2016 21:27:38 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub Y$ $integral dX$ [ NOAA NCEP-NCAR CDAS-1 mc6190 Intrinsic MSL pressure ] [ X Y | T] | M | M | M |
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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