الصفحه مقدمه من maproom.meteorwanda.gov.rw
mean ∂Y [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ] : ∂Y Covar. v and specific hum data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ partial_Y ∂Y Covar. v and specific hum from NOAA: National Oceanic and Atmospheric Adminstration.متغيرات مستقله (على نقاط الشبكيه)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1980) to (Aug 2014) by 1.0 N= 416 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid
معلومات أخري
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- CBVQ
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 193
- gribvariable
- 193
- 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
- 57.2957795130823 meter radian-1 north second-1
- history
- Averaged over X[1.25W, 1.25W]
مراجع
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
أخر تحديث: Wed, 10 Jan 2018 15:23:36 GMT
هذه الصفحه ىنتهى تحديثها فى: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
data as colors
data as contours| P | T | Y | |
 mean $partialdiff sub Y$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ ] [ 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