served from IRI/LDEO Climate Data Library
∫dY Y: ∫dY Y data
∫dY Y.Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90.5S) to (90.5N) by 1.0 N= 182 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- gridid
- 181679016
- pointwidth
- 1.0
- scale_max
- null
- scale_min
- null
- standard_name
- latitude
- units
- 0.000304617419786709 radian2 north
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
line plots
color bars
scatter| 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 | O=-0.5 |
|---|---|---|---|---|---|---|
| $partialdiff sub L$ L[ L |] | M | |||||
| grid: /L (months) ordered (1.0 months) to (11.0 months) by 1.0 N= 11 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 | |||||
 $integral dY$ Y[ Y |] | 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 Y
- Differentiate along Y
- Take differences along 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 |
Note on units