served from IRI/LDEO Climate Data Library
root mean sq detrended-bfl ∫dZ root mean sq anom detrended-bfl detrended-bfl detrended-bfl ∫dT [ UMD Carton goa beta7 t ] : temperature data
t int_dT adif adif adif adif int_dZ adif temperature from UMD Carton goa beta7: beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1950) to (0000 1 Jan 2002) by 1.0 N= 625 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered [ (59.99S) (58.97S) (57.9501S) ... (59.99N)] N= 128 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9.98999971E33
- gridid
- 163157976
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- time
- units
- 0.0833333333333333 ( degree_Kelvin above 273.15 ) meter year
- history
- detrended-bfl $integral dZ$ root mean sq anom detrended-bfl detrended-bfl detrended-bfl $integral dT$ [ UMD Carton goa beta7 t ]
- beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000
Averaged over X[0.5E, 0.5W] minimum 0.0% data present
root mean sq detrended-bfl $integral dZ$ root mean sq anom detrended-bfl detrended-bfl detrended-bfl $integral dT$ [ UMD Carton goa beta7 t ]- Averaged over Z[0.0 m, 3990.95 m] minimum 0.0% data present
- beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000
References
Carton, J.A., G. Chepurin, X. Cao, and B.S. Giese, 2000a: A Simple Ocean Data Assimilation analysis of the global upper ocean 1950-1995, Part 1: methodology, J. Phys. Oceanogr., 30, 294-309.Carton, J.A., G. Chepurin, and X. Cao, 2000b: A Simple Ocean Data Assimilation analysis of the global upper ocean 1950-1995 Part 2: results, J. Phys. Oceanogr., 30, 311-326
Last updated: Thu, 23 Jan 2003 21:17:59 GMT
Data Views
Views
data as colors
data as contours
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 T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units