served from IRI/LDEO Climate Data Library
max min ∂X ∫dY detrended-bfl [ detrended-bfl ∫dZ ( UMD Carton goa beta7 t ) climatology ] : ∂X temperature data
t int_dZ adif adif adif int_dY partial_X min ∂X temperature from UMD Carton goa beta7: beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000. isIndependent Variables (Grids)
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9.98999971E33
- gridid
- 185694128
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- time
- units
- m degree_C
- standard units*
- degree_Kelvin meter
- history
- $partialdiff sub X$ $integral dY$ detrended-bfl [ detrended-bfl $integral dZ$ ( UMD Carton goa beta7 t ) climatology ]
- beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000
Averaged over T2[1950, 2001] minimum 0.0% data present
min $partialdiff sub X$ $integral dY$ detrended-bfl [ detrended-bfl $integral dZ$ ( UMD Carton goa beta7 t ) climatology ]- min over X[0, 1W] Y[60.5S, 60.5N] T[Jan, Dec]
max min $partialdiff sub X$ $integral dY$ detrended-bfl [ detrended-bfl $integral dZ$ ( UMD Carton goa beta7 t ) climatology ]- max over Z[3990.95 m, 0.0 m]
- 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
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units