data: IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig T

served from IRI/LDEO Climate Data Library

IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig T: Time data

T Time from IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig: original entry.

Independent Variables (Grids)

Lead (forecast_period): grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (Dec 2011) to (Oct 2015) by 1.0 N= 47 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
gridid: 178092320
pointwidth: 1.0
scale_max: null
scale_min: null
standard_name: time
units: months
standard units*: 0.0833333333333333 year

References

Kirtman_etal2014

Last updated: Tue, 08 Dec 2020 21:56:07 GMT

Data Views

	L	S
IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig 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

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