served from IRI/LDEO Climate Data Library
∂L L: ∂L Lead data
∂L L.Independent Variables (Grids)
- L (forecast_period)
- grid: /L (days) ordered (0.5 days) to (30.5 days) by 1.0 N= 31 pts :grid
Other Info
- datatype
- realarraytype
- gridid
- 184021224
- pointwidth
- 0.0
- scale_max
- null
- scale_min
- null
- standard_name
- forecast_period
- units
- unitless
Last updated: Tue, 29 Aug 2023 13:34:15 GMT
Data Views
Views
line plots
color bars
scatter| L | M | S | X | Y | |
 ECMWF S2S ISAC forecast perturbed sfc_precip tp[ X Y | M L S] | O=0.5 | M | M | M | M |
|---|---|---|---|---|---|
| grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid | M | ||||
| grid: /L (days) ordered (0.0 days) to (31.0 days) by 1.0 N= 32 pts :grid | O=0.5 | ||||
| grid: /M (ids) ordered (1) to (40) by 1.0 N= 40 pts :grid | M | ||||
 $partialdiff sub L$ L[ L |] | 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 L
- Differentiate along L
- Take differences along L
RMS (root mean square with mean *not* removed) over L |
RMSA (root mean square with mean removed) over L |
Maximum over L |
Minimum over L |
Detrend (best-fit-line) over L |
Note on units