served from IRI/LDEO Climate Data Library
ECMWF S2S ECCC forecast RMMS ensemble_mean RMM1: RMM1 data
forecast RMMS ensemble_mean RMM1 RMM1 from ECMWF S2S ECCC: ECCC Ensemble Prediction System.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (days) ordered (1.0 days) to (32.0 days) by 1.0 N= 32 pts :grid
- S (forecast_reference_time)
- grid: /S (days since 1960-01-01) ordered (7 Jan 2016) to (14 Feb 2024) by 1.0 N= 2961 pts :grid
Other Info
- datatype
- realarraytype
- units
- unitless
Last updated: Sun, 10 Mar 2024 12:16:10 GMT
Expires: Sat, 20 Apr 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours| L | S | |
 ECMWF S2S ECCC forecast RMMS ensemble_mean RMM1[ L | S] | 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 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