IRI FD NMME_Seasonal_Forecast ELR_coeffsv2 target_date: forecast time data
forecast time from IRI FD NMME_Seasonal_Forecast ELR_coeffsv2: Global Extended Logistic Regression Forecast.
Independent Variables (Grids)
- Lead Time
- grid: /L (months) ordered (2.5 months) to (5.5 months) by 1.0 N= 4 pts :grid
- Start Time
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Aug 2024) by 1.0 N= 164 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 165893872
- pointwidth
- 3
- scale_max
- null
- scale_min
- null
- units
- months since 1960-01-01
- standard units*
- 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )
Last updated: Thu, 15 Aug 2024 12:00:09 GMT
Expires: Sat, 14 Sep 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 S
L
- Differentiate along S
L
- Take differences along S
L
Average over
S
L
|
S L
|
RMS (root mean square with mean *not* removed) over
S
L
|
S L
|
RMSA (root mean square with mean removed) over
S
L
|
S L
|
Maximum over
S
L
|
S L
|
Minimum over
S
L
|
S L
|
Detrend (best-fit-line) over
S
L
|
S L
|
Note on units