served from IRI/LDEO Climate Data Library
∂Y Y: ∂Y Latitude data
∂Y Y.Independent Variables (Grids)
- int_dY (latitude)
- grid: /int_dY (degree_north) ordered (86.25N) to (86.25S) by 2.5 N= 70 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (86.25N) to (86.25S) by 2.5 N= 70 pts :grid
Other Info
- datatype
- realarraytype
- gridid
- 185893072
- scale_max
- null
- scale_min
- null
- standard_name
- latitude
- units
- unitless
Last updated: Thu, 31 Mar 2022 13:11:17 GMT
Data Views
Views
line plots
color bars
scatter| int_dY | T | X | Y | |
 $partialdiff sub X$ [ NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic total_air_column PWAT ][ X Y | T] | M | M | O=-1.25 | |
|---|---|---|---|---|
| $partialdiff sub Y$ [ $integral dY$ Y ][ Y |] | O=-1.25 | |||
 $partialdiff sub Y$ Y[ int_dY |] | 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 int_dY
- Differentiate along int_dY
- Take differences along int_dY
RMS (root mean square with mean *not* removed) over int_dY |
RMSA (root mean square with mean removed) over int_dY |
Maximum over int_dY |
Minimum over int_dY |
Detrend (best-fit-line) over int_dY |
Note on units