root mean sq anom root mean sq root mean sq detrended-bfl [ UMD Carton goa beta7 t ] : temperature data

t adif adif adif adif temperature from UMD Carton goa beta7: beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000.

Independent Variables (Grids)

Depth
grid: /Z (m) ordered [ (3622.5) (2885.6) (2201.3) (1598.79) (1099.46) (714.46) (443.79) (276.27) (190.61) (157.5) (142.5) (127.5) (112.5) (97.5) (82.5) (67.5) (52.5) (37.5) (22.5) (7.5)] :grid

Other Info

bufferwordsize
8
CE
null
CS
null
datatype
doublearraytype
file_missing_value
-9.98999971E33
gridid
170256352
missing_value
NaN
pointwidth
1.0
standard_name
time
units
degree_Celsius
standard units*
degree_Kelvin
history
root mean sq detrended-bfl [ UMD Carton goa beta7 t ]
beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000
Averaged over Y[60.46236S, 60.46236N] minimum 0.0% data present

root mean sq root mean sq detrended-bfl [ UMD Carton goa beta7 t ]
Averaged over T[Jan 1950, Dec 2001] minimum 0.0% data present

root mean sq anom root mean sq root mean sq detrended-bfl [ UMD Carton goa beta7 t ]
Averaged over X[1E, 0] minimum 0.0% data present

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

Z
[ Z |]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. Average over Z |
RMS (root mean square with mean *not* removed) over Z |
RMSA (root mean square with mean removed) over Z |
Maximum over Z |
Minimum over Z |
Detrend (best-fit-line) over Z |
Convert units from degree_Celsius to

Note on units