data: min $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic MSL pressure ]

min ∂_T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic MSL pressure ] : ∂_T Pressure data

min ∂_T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic MSL pressure ] .

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) periodic (0) to (2.5W) 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: 4
calendar: standard
center: US Weather Service - National Met. Center
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: 12 kilogram meter^-1 second^-2 year^-1
history: min over T[Feb 1949, Apr 2021]

References

Kalnay, E., M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, G. White, J. Woollen, Y. Zhu, A. Leetmaa, B. Reynolds, M. Chelliah, W. Ebisuzaki, W. Higgins, J. Janowiak, K. C. Mo, C. Ropelewski, J. Wang, R. Jenne, and D. Joseph. The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society, March, 1996

Last updated: Thu, 26 Oct 2023 14:58:08 GMT
Expires: Sat, 03 Jul 2021 00:00:00 GMT

Data Views

	X	Y
min $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic MSL pressure ] [ X Y \|]	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
Differentiate along X Y
Take differences along X Y

Average over X Y | X Y |
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |

Note on units