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root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTMW anomalies ]: Covar. v and T data
root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTMW anomalies ].Variables Indépendantes (Grilles)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100) (70) (50) (30) (20) (10)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1949) to (May 2021) by 1.0 N= 869 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
Autres Informations
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- CBTMW
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 198
- gribvariable
- 198
- 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
- K m /s
- standard units*
- ( degree_Kelvin above 0 ) meter second-1
- history
- root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTMW anomalies ]
- Averaged over T2[1949, 2020]
Averaged over X[0, 2.5W]
- Averaged over T2[1949, 2020]
Références
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
Dernière Mise à jour: Thu, 26 Oct 2023 14:58:08 GMT
Expire: Sat, 03 Jul 2021 00:00:00 GMT
Data Views
Views
data as colors
data as contours| P | T | Y | |
 root mean sq anom [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTMW anomalies ][ Y | P 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 Y P T
- Differentiate along Y P T
- Take differences along Y P T
RMS (root mean square with mean *not* removed) over Y P T | Y P Y T P T | Y P T |
RMSA (root mean square with mean removed) over Y P T | Y P Y T P T | Y P T |
Maximum over Y P T | Y P Y T P T | Y P T |
Minimum over Y P T | Y P Y T P T | Y P T |
Detrend (best-fit-line) over Y P T | Y P Y T P T | Y P T |
Note on units