data: $partialdiff sub L$ [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY T ]

served from IRI/LDEO Climate Data Library

∂_L [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY T ]: ∂_L Time data

Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY T ∂_L 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 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: 188948712
pointwidth: 1.0
scale_max: null
scale_min: null
standard_name: time
units: unitless

References

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Last updated: Tue, 08 Dec 2020 21:54:43 GMT

Data Views

	L	S
$partialdiff sub L$ [ 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

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