data: $integral dL$ [ IRI Analyses ICPAC Models Montreal CanCM4i HINDCAST MONTHLY T ]

served from IRI/LDEO Climate Data Library

∫dL [ IRI Analyses ICPAC Models Montreal CanCM4i HINDCAST MONTHLY T ]: Time data

Analyses ICPAC Models Montreal CanCM4i HINDCAST MONTHLY T T Time from IRI: International Research Institute for Climate and Society.

Independent Variables (Grids)

Lead: 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 Jan 1981) to (0000 1 Dec 2018) by 1.0 N= 456 pts :grid

Other Info

bufferwordsize: 8
calendar: 360
CE: null
CS: null
datatype: doublearraytype
gridid: 171073384
pointwidth: 1.0
scale_max: null
scale_min: null
standard_name: time
units: 0.00694444444444444 year²

References

Kirtman_etal2014

Last updated: Wed, 15 Apr 2020 19:04:01 GMT

Data Views

	L	S
$integral dL$ [ IRI Analyses ICPAC Models Montreal CanCM4i 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