served from maproom.meteorwanda.gov.rw
mean ∫dT ∂P [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ] : ∂P Virtual temperature data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp partial_P int_dT ∂P Virtual temperature from NOAA: National Oceanic and Atmospheric Adminstration.Independent Variables (Grids)
- P
- grid: /P (mb) ordered [ (962.5) (887.5) (775.0) (650.0) (550.0) (450.0) (350.0)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1980) to (0000 1 Sep 2014) by 1.0 N= 417 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- VTMP
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 13
- gribparam
- 12
- gribvariable
- 12
- 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
- 0.000833333333333333 degree_Kelvin kilogram-1 meter second2 year
- history
- Averaged over Y[91.25S, 91.25N]
References
Kalnay_etal1996Last updated: Wed, 10 Jan 2018 15:23:36 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
data as colors
data as contours| P | T | X | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[surface
PressureLevel
MSL
total_air_column
] | |||
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[u
vtemp
vvel
v
CBUQ
CBTMW
CBVW
CBTW
relv
CBUW
CBQW
CBTZW
vpot
psi
CBMZW
CBVQ
rhum
phi
temp
qa
reld
] | |||
 mean $integral dT$ $partialdiff sub P$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ] [ X | 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 X P T
- Differentiate along X P T
- Take differences along X P T
RMS (root mean square with mean *not* removed) over X P T | X P X T P T | X P T |
RMSA (root mean square with mean removed) over X P T | X P X T P T | X P T |
Maximum over X P T | X P X T P T | X P T |
Minimum over X P T | X P X T P T | X P T |
Detrend (best-fit-line) over X P T | X P X T P T | X P T |
Note on units