served from IRI/LDEO Climate Data Library
∂LA LA: ∂LA ∂LA LA data
∂LA LA.Independent Variables (Grids)
- LA (forecast_period)
- grid: /LA (days) ordered (1.5 days) to (30.5 days) by 1.0 N= 30 pts :grid
Other Info
- datatype
- realarraytype
- gridid
- 189307576
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_period
- units
- unitless
Last updated: Fri, 10 Nov 2023 19:23:03 GMT
Data Views
Views
line plots
color bars
scatter| LA | S | X | Y | |
 $partialdiff sub LA$ [ ECMWF S2S ECCC forecast control sfc_snow_ice sd ][ X Y | LA S] | O=0.5 | M | M | M |
|---|---|---|---|---|
| grid: /LA (days) ordered (1.0 days) to (31.0 days) by 1.0 N= 31 pts :grid | O=0.5 | |||
| grid: /S (days since 1960-01-01) ordered (0000 7 Jan 2016) to (0000 28 Mar 2024) by 7.0 N= 430 pts :grid | M | |||
| grid: /S (days since 1960-01-01) ordered (0000 7 Jan 2016) to (0000 28 Mar 2024) by 7.0 N= 430 pts :grid | M | |||
| grid: /Y (degree_north) ordered (89.25N) to (89.25S) by 1.5 N= 120 pts :grid | M | |||
 $partialdiff sub LA$ LA[ LA |] | 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 LA
- Differentiate along LA
- Take differences along LA
RMS (root mean square with mean *not* removed) over LA |
RMSA (root mean square with mean removed) over LA |
Maximum over LA |
Minimum over LA |
Detrend (best-fit-line) over LA |
Note on units