served from IRI/LDEO Climate Data Library
CMA BCC RegCM3_NCP PressureLevel u: U wind data
RegCM3_NCP PressureLevel U wind from CMA BCC: Beijing Climate Center.Independent Variables (Grids)
- P
- grid: /P (unitless) ordered (200) to (850) N= 2 pts :grid
- Time (time)
- grid: /T (days since 1960-01-01) (365) ordered (1 Jan 1951) to (31 Dec 2100) by 1.0 N= 54750 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (110E) to (121.0348E) by 0.1126 N= 99 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (29N) to (43.075N) by 0.1126 N= 126 pts :grid
Other Info
- cNZ
- 1
- datatype
- realarraytype
- missing_value
- -9.99999979E33
- pointwidth
- 0.0
- units
- m /s
- standard units*
- meter second-1
References
Giorgi_F_etal1993aGiorgi_F_etal1993b
Last updated: Fri, 18 Sep 2015 18:39:06 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| P | T | X | Y | |
 CMA BCC RegCM3_NCP PressureLevel u[ 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