∫dS ∂L [ ECMWF S2S ECCC forecast RMMS ensemble_mean amplitude ] : ∂L amplitude data
forecast RMMS ensemble_mean amplitude partial_L
∂L 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 7 Mar 2024) by 1.0 N= 2984 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- units
- unitless
Last updated: Sun, 31 Mar 2024 12:14:14 GMT
Expires: Sat, 11 May 2024 00:00:00 GMT
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
Average over
L
S
|
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