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NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ: Covar. v and specific hum data
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ.Independent Variables (Grids)
- 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 1949) to (Dec 2021) by 1.0 N= 876 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
- 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
- scale_max
- 0.0373494
- scale_min
- -0.0282679
- subcenter
- NCEP Ensemble Products
- units
- m /s
- standard units*
- meter second-1
References
Kalnay_etal1996Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Expires: Thu, 03 Feb 2022 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 PressureLevel[temp
reld
CBUQ
qa
CBQW
phi
rhum
u
CBTZW
CBVQ
CBVW
psi
relv
v
vvel
vpot
vtemp
CBTW
CBMZW
CBTMW
CBUW
] | ||||
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel vtemp[ X Y | P T] | M | M | M | M |
|---|---|---|---|---|
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa[ X Y | P T] | M | M | M | M |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBVQ[ 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