served from IRI/LDEO Climate Data Library
IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY T: Time data
Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY Time from IRI: International Research Institute for Climate and Society.Independent Variables (Grids)
- Lead (forecast_period)
- grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid
- Forecast Start Time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Dec 2011) to (0000 1 Jul 2019) by 1.0 N= 92 pts :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- gridid
- 181685944
- pointwidth
- 1.0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- months since 1960-01-01
- standard units*
- 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )
References
Kirtman_etal2014Last updated: Tue, 08 Dec 2020 21:55:17 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| L | M | S | X | Y | |
 IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY[orig
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| IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY sst[ X Y | L M S] | M | M | S | M | M |
|---|---|---|---|---|---|
 IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY T[ S L |] | M | M |
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
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