served from IRI/LDEO Climate Data Library
ECMWF S2S NCEP forecast SSW ensembles
forecast SSW ensembles from ECMWF S2S NCEP: NCEP CFSv2 Ensemble.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (days) ordered (1.0 days) to (44.0 days) by 1.0 N= 44 pts :grid
- Ensemble Member (realization)
- grid: /M (ids) ordered (1) to (16) by 1.0 N= 16 pts :grid
- forecast start time (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (0000 1 Jan 2019) to (0000 16 Feb 2024) by 1.0 N= 1873 pts :grid
Other Info
- datatype
- realarraytype
- units
- unitless
- standard units*
- unitless
Last updated: Thu, 18 Apr 2024 07:43:01 GMT
Expires: Mon, 01 Apr 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours| L | M | S | |
 ECMWF S2S NCEP forecast SSW ensembles[ L M | S] | M | M | M |
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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