served from IRI/LDEO Climate Data Library
∫dY ∂X max detrended-bfl min [ detrended-bfl ∫dZ ( UMD Carton goa beta7 t ) climatology ] : ∂X temperature data
t int_dZ adif adif min adif max partial_X ∂X temperature from UMD Carton goa beta7: beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered [ (60.5S) (59.48S) (58.46005S) ... (60.5N)] N= 129 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9.98999971E33
- gridid
- 172607520
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- time
- units
- m degree_C
- standard units*
- degree_Kelvin meter
- history
- 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
detrended-bfl min [ detrended-bfl $integral dZ$ ( UMD Carton goa beta7 t ) climatology ]- min over T[Jan, Dec]
$integral dY$ $partialdiff sub X$ max detrended-bfl min [ 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
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 $integral dY$ $partialdiff sub X$ max detrended-bfl min [ detrended-bfl $integral dZ$ ( UMD Carton goa beta7 t ) climatology ] [ X Y |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units