served from 197.155.140.164
mean ∂T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW climatology ] : ∂T Covar. spec. hum and omega data
mean ∂T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW climatology ] .Independent Variables (Grids)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300)] :grid
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (16 Dec 1959 - 15 Jan 1960) (16 Jan 1960 - 15 Feb 1960) (16 Feb 1960 - 15 Mar 1960) (16 Mar 1960 - 15 Apr 1960) (16 Apr 1960 - 15 May 1960) (16 May 1960 - 15 Jun 1960) (16 Jun 1960 - 15 Jul 1960) (16 Jul 1960 - 15 Aug 1960) (16 Aug 1960 - 15 Sep 1960) (16 Sep 1960 - 15 Oct 1960) (16 Oct 1960 - 15 Nov 1960) (16 Nov 1960 - 15 Dec 1960)] :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
- CBQW
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 16
- gribparam
- 195
- gribvariable
- 195
- 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
- 12 kilogram meter-1 second-3 year-1
- history
- mean $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW climatology ]
- Averaged over T2[1949, 2022]
Averaged over X[1.25W, 1.25W]
- Averaged over T2[1949, 2022]
References
Kalnay_etal1996Last updated: Mon, 27 Mar 2023 13:29:42 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| P | T | Y | |
 mean $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBQW climatology ] [ 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