T	X	Y	Z
$integral dZ$ $partialdiff sub Y$ [ LEVITUS94 MONTHLY temp ] [ X Y Z | T]	M	M	O=0.5	M
grid: /Y (degree_north) ordered (88.5S) to (88.5N) by 1.0 N= 178 pts :grid			O=0.5
grid: /Z (m) ordered [ (-5.0) (5.0) (15.0) (25.0) (40.0) (62.5) (87.5) (112.5) (137.5) (175.0) (225.0) (275.0) (350.0) (450.0) (550.0) (650.0) (750.0) (850.0) (950.0) (1050.0)] :grid				M
$partialdiff sub T$ T[ T |]	M
grid: /Y (degree_north) ordered (88.5S) to (88.5N) by 1.0 N= 178 pts :grid			O=0.5
grid: /Z (m) ordered [ (-5.0) (5.0) (15.0) (25.0) (40.0) (62.5) (87.5) (112.5) (137.5) (175.0) (225.0) (275.0) (350.0) (450.0) (550.0) (650.0) (750.0) (850.0) (950.0) (1050.0)] :grid				M
grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid	M
$partialdiff sub Y$ Y[ Y |]			M

SOURCES .LEVITUS94 .MONTHLY .temp T differences Y differences Y partial Z integral %5BT %5Ddetrend-bfl %5BX Y Z T %5Ddetrend-bfl T partial %5BX Y Z %5Ddetrend-bfl %5BY T %5Ddetrend-bfl %5BX Y %5Ddetrend-bfl Y partial

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
• Differentiate along Y
• Take differences along Y

Average over Y |
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |

Convert units from unitless to

Note on units