served from IRI/LDEO Climate Data Library
∂M [ ECMWF S2S NCEP forecast SSW ensembles ]: ∂M data
forecast SSW ensembles ensembles ∂M from ECMWF S2S NCEP: NCEP CFSv2 Ensemble.Independent Variables (Grids)
- L (forecast_period)
- grid: /L (days) ordered (1.5 days) to (43.5 days) by 1.0 N= 43 pts :grid
- M (realization)
- grid: /M (ids) ordered (1.5) to (15.5) by 1.0 N= 15 pts :grid
- forecast start time (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (0000 1 Jan 2019) to (0000 29 Mar 2024) by 1.0 N= 1915 pts :grid
Other Info
- datatype
- realarraytype
- units
- unitless /ids
Last updated: Wed, 29 May 2024 12:03:17 GMT
Expires: Wed, 01 May 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours| L | M | S | |
 $partialdiff sub M$ [ ECMWF S2S NCEP forecast SSW ensembles ][ L M | S] | M | M | 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 M S
- Differentiate along L M S
- Take differences along L M S
RMS (root mean square with mean *not* removed) over L M S | L M L S M S | L M S |
RMSA (root mean square with mean removed) over L M S | L M L S M S | L M S |
Maximum over L M S | L M L S M S | L M S |
Minimum over L M S | L M L S M S | L M S |
Detrend (best-fit-line) over L M S | L M L S M S | L M S |
Note on units