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NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTMW: Covar. v and T data
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTMW.Independent Variables (Grids)
- 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 (Aug 2014) by 1.0 N= 788 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- bufferwordsize
- 4
- calendar
- standard
- center
- US Weather Service - National Met. Center
- datatype
- realarraytype
- 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
- scale_max
- 604.81
- scale_min
- -494.73901
- subcenter
- NCEP Ensemble Products
- units
- K m /s
- standard units*
- ( degree_Kelvin above 0 ) meter second-1
References
Kalnay_etal1996Last updated: Thu, 28 Jan 2021 07:10:50 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| P | T | X | Y | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[MSL
PressureLevel
surface
total_air_column
] | ||||
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic MSL pressure[ X Y | T] | M | M | M | |
|---|---|---|---|---|
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[CBVW
u
vpot
psi
relv
vtemp
phi
CBVQ
CBMZW
CBTMW
CBUW
temp
CBQW
CBTW
qa
v
CBTZW
CBUQ
reld
rhum
vvel
] | ||||
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTMW[ X Y | P T] | M | 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 Y P T
- Differentiate along X Y P T
- Take differences along X Y P T
RMS (root mean square with mean *not* removed) over X Y P T | X Y X P X T Y P Y T P T | X Y P X Y T X P T Y P T | X Y P T |
RMSA (root mean square with mean removed) over X Y P T | X Y X P X T Y P Y T P T | X Y P X Y T X P T Y P T | X Y P T |
Maximum over X Y P T | X Y X P X T Y P Y T P T | X Y P X Y T X P T Y P T | X Y P T |
Minimum over X Y P T | X Y X P X T Y P Y T P T | X Y P X Y T X P T Y P T | X Y P T |
Detrend (best-fit-line) over X Y P T | X Y X P X T Y P Y T P T | X Y P X Y T X P T Y P T | X Y P T |
Note on units