L	M	P	S	X	Y
Models NMME COLA-RSMAS-CCSM4 MONTHLY gz 200 hPa[ X Y | P M L S]	M	M	M	M	M	S
grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid	M
grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1982) to (0000 1 Apr 2024) by 1.0 N= 508 pts :grid				M
grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid		M
$partialdiff sub S$ S[ S |]				M
grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid		M
grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid						S
grid: /S (months since 1960-01-01) ordered (Jan 1982) to (Mar 2024) by 1.0 N= 507 pts :grid				M
grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid					M
grid: /S (months since 1960-01-01) ordered (Jan 1982) to (Mar 2024) by 1.0 N= 507 pts :grid				M
grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid	M
$partialdiff sub Y$ [ $partialdiff sub Y$ Y ][ Y |]						M

SOURCES .Models .NMME .COLA-RSMAS-CCSM4 .MONTHLY .gz %5BX L S %5Ddetrend-bfl %5BX M S %5Ddetrend-bfl %5BL %5Ddetrend-bfl S partial %5BL M Y S %5Ddetrend-bfl %5BM X S %5Ddetrend-bfl %5BX L Y %5Ddetrend-bfl Y partial 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 57.2957795130823 radian-1 north to

Note on units