data: $partialdiff sub L$ $partialdiff sub L$ $integral dS$ [ IRI Analyses ICPAC Models Montreal CMC1-CanCM3 HINDCAST MONTHLY T ]

served from IRI/LDEO Climate Data Library

∂_L ∂_L ∫dS [ IRI Analyses ICPAC Models Montreal CMC1-CanCM3 HINDCAST MONTHLY T ] : ∂_L ∂_L Time data

Analyses ICPAC Models Montreal CMC1-CanCM3 HINDCAST MONTHLY T int_dS partial_L ∂_L ∂_L Time from IRI: International Research Institute for Climate and Society.

Independent Variables (Grids)

L (forecast_period): grid: /L (months) ordered (1.5 months) to (10.5 months) by 1.0 N= 10 pts :grid
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 16 Dec 1980) to (0000 16 Dec 2010) by 1.0 N= 361 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
gridid: 189141784
pointwidth: 1.0
scale_max: null
scale_min: null
standard_name: time
units: unitless

References

Kirtman_etal2014

Last updated: Mon, 22 Oct 2018 19:53:09 GMT

Data Views

	L	S
$partialdiff sub L$ $partialdiff sub L$ $integral dS$ [ IRI Analyses ICPAC Models Montreal CMC1-CanCM3 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