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

served from IRI/LDEO Climate Data Library

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

Analyses ICPAC Models Montreal CMC2-CanCM4 HINDCAST MONTHLY T Time from IRI: International Research Institute for Climate and Society.

Independent Variables (Grids)

L (forecast_period): grid: /L (months) ordered (1.0 months) to (11.0 months) by 1.0 N= 11 pts :grid
Forecast Start Time (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1981) to (0000 1 Dec 2010) by 1.0 N= 360 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
gridid: 188949816
pointwidth: 1.0
scale_max: null
scale_min: null
standard_name: time
units: months
standard units*: 0.0833333333333333 year

References

Kirtman_etal2014

Last updated: Mon, 22 Oct 2018 19:53:16 GMT

Data Views

	L	S
IRI Analyses ICPAC Models Montreal CMC2-CanCM4 HINDCAST 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

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