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root mean sq [ root mean sq ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ) climatology ]: Virtual temperature data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp vtemp vtemp Virtual temperature from NOAA: National Oceanic and Atmospheric Adminstration.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 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
- Kelvin_scale
- standard units*
- degree_Kelvin above 0
- history
- root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ] climatology
- Averaged over P[250.0 mb, 1050.0 mb]
Averaged over T2[1980, 2013]
root mean sq [ root mean sq ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ) climatology ]- Averaged over X[1.25W, 1.25W]
- Averaged over P[250.0 mb, 1050.0 mb]
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
line plots
color bars| T | Y | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[surface
PressureLevel
MSL
total_air_column
] | ||
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[CBTMW
CBTW
relv
CBTZW
CBUW
CBQW
v
CBMZW
CBVQ
rhum
temp
qa
reld
vpot
vtemp
psi
vvel
phi
CBUQ
u
CBVW
] | ||
 root mean sq [ root mean sq ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp ) climatology ][ Y 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units