served from IRI/LDEO Climate Data Library
∫dS [ ECMWF S2S ECCC forecast RMMS ensemble_mean amplitude ]: amplitude data
forecast RMMS ensemble_mean amplitude amplitude amplitude from ECMWF S2S ECCC: ECCC Ensemble Prediction System.Independent Variables (Grids)
- L (forecast_period)
- grid: /L (days) ordered (1.5 days) to (31.5 days) by 1.0 N= 31 pts :grid
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (1200 6 Jan 2016) to (1200 8 Feb 2024) by 1.0 N= 2956 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- units
- days
- standard units*
- 86400 second
Last updated: Mon, 04 Mar 2024 10:28:05 GMT
Expires: Sat, 13 Apr 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
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 S
- Differentiate along L S
- Take differences along L S
RMS (root mean square with mean *not* removed) over L S | L S |
RMSA (root mean square with mean removed) over L S | L S |
Maximum over L S | L S |
Minimum over L S | L S |
Detrend (best-fit-line) over L S | L S |
Note on units