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∫dT [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ]: Temperature data
∫dT [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ].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 (0000 1 Jan 1949) to (0000 1 Sep 2014) by 1.0 N= 789 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
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- TMP
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 13
- gribparam
- 11
- gribvariable
- 11
- 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
- 0.0833333333333333 ( degree_Kelvin above 0 ) year
References
Kalnay_etal1996Last updated: Wed, 20 Mar 2019 09:34:10 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 | |
 grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid | M | |||
|---|---|---|---|---|
| grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid | M | |||
| grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100) (70) (50) (30) (20) (10)] :grid | M | |||
| grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1949) to (0000 1 Sep 2014) by 1.0 N= 789 pts :grid | M | |||
 $integral dT$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ][ 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