served from IRI/LDEO Climate Data Library
CMA BCC GODAS v
v from CMA BCC GODAS: global ocean data assimilation operational system.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1982) to (May 2014) by 1.0 N= 389 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.9375E) to (0.9375W) by 1.875 N= 192 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered [ (89.286N) (87.647N) (85.792N) (83.93N) (82.067N) (80.203N) (78.338N) (76.473N) (74.609N) (72.744N) (70.879N) (69.014N) (67.148N) (65.283N) (63.418N) (61.553N) (59.688N) (57.823N) (55.957N) (54.092N) (52.227N) (50.362N) (48.497N) (46.631N) (44.766N) (42.901N) (41.036N) (39.17N) (37.305N) (35.44N) (33.575N) (31.709N) (29.844N) (27.979N) (26.114N) (24.248N) (22.383N) (20.518N) (18.653N) (16.787N) (14.922N) (13.057N) (11.192N) (9.325996N) (7.460999N) (5.596001N) (3.731003N) (1.864998N) (0) (1.864998S) (3.731003S) (5.596001S) (7.460999S) (9.325996S) (11.192S) (13.057S) (14.922S) (16.787S) (18.653S) (20.518S) (22.383S) (24.248S) (26.114S) (27.979S) (29.844S) (31.709S) (33.575S) (35.44S) (37.305S) (39.17S) (41.036S) (42.901S) (44.76601S) (46.631S) (48.49699S) (50.362S) (52.22701S) (54.092S) (55.957S) (57.823S) (59.688S) (61.55299S) (63.418S) (65.283S) (67.14799S) (69.01401S) (70.879S) (72.744S) (74.60899S) (76.47301S) (78.338S) (80.2S)] :grid
- Depth
- grid: /Z (m) ordered [ (0.0) (25.0) (50.0) (75.0) (100.0) (125.0) (150.0) (175.0) (200.0) (225.0) (250.0) (275.0) (300.0) (327.047) (362.218) (413.392) (487.961)] :grid
Other Info
- bufferwordsize
- 4
- datatype
- realarraytype
- missing_value
- 9999
- pointwidth
- 1.0
- units
- m /s
- standard units*
- meter second-1
References
Yimin Liu, Renhe Zhang, Yonghong Yin and Tao Niu, 2005, The Application of ARGO Data to the Global Ocean Data Assimilation Operational System of NCC, Acta Meteorological Sinica (in English), 19(3),355-365.Yimin Liu, Weijing Li, Peiqun Zhang, 2005, NCC 4-Dimensional Ocean Data Assimilation System and the Studies on Its Results in the Middle Pacific, ACTA Oceanologica Sinica (in Chinese), Vol.27, No.1,27-35.
Last updated: Wed, 06 Jan 2021 14:52:41 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | Z | |
 CMA BCC GODAS v[ X Y | Z 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 Z T
- Differentiate along X Y Z T
- Take differences along X Y Z T
RMS (root mean square with mean *not* removed) over X Y Z T | X Y X Z X T Y Z Y T Z T | X Y Z X Y T X Z T Y Z T | X Y Z T |
RMSA (root mean square with mean removed) over X Y Z T | X Y X Z X T Y Z Y T Z T | X Y Z X Y T X Z T Y Z T | X Y Z T |
Maximum over X Y Z T | X Y X Z X T Y Z Y T Z T | X Y Z X Y T X Z T Y Z T | X Y Z T |
Minimum over X Y Z T | X Y X Z X T Y Z Y T Z T | X Y Z X Y T X Z T Y Z T | X Y Z T |
Detrend (best-fit-line) over X Y Z T | X Y X Z X T Y Z Y T Z T | X Y Z X Y T X Z T Y Z T | X Y Z T |
Note on units