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min ∫dX root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa ] : Specific humidity data
min ∫dX root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa ] .Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1949) to (May 2021) by 1.0 N= 869 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (1.25W) to (1.25W) by 2.5 N= 145 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- SPFH
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 15
- gribparam
- 51
- gribvariable
- 51
- 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
- degree_east
- standard units*
- 0.0174532925199433 radian east
- history
- min $integral dX$ root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa ]
- Averaged over Y[91.25S, 91.25N]
min over P[1000 mb, 300 mb]
- Averaged over Y[91.25S, 91.25N]
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
Views
data as colors
data as contours| T | X | |
 min $integral dX$ root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa ] [ X | 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 X T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units