served from IRI/LDEO Climate Data Library
root mean sq [ IRI Analyses ICPAC Models Montreal CMC1-CanCM3 HINDCAST MONTHLY T ]: Time data
Analyses ICPAC Models Montreal CMC1-CanCM3 HINDCAST MONTHLY T Time from IRI: International Research Institute for Climate and Society. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 168457528
- pointwidth
- 1.0
- scale_max
- null
- scale_min
- null
- standard_name
- time
- units
- months since 1960-01-01
- standard units*
- 0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )
- history
- Averaged over S[0000 1 Jan 1981, 0000 1 Dec 2010] L[0.0 months, 12.0 months]
References
Kirtman, Ben P., and Coauthors, 2014: The North American Multimodel Ensemble: Phase-1 seasonal-to-interannual prediction; Phase-2 toward developing intraseasonal prediction. Bull. Amer. Meteor. Soc., 95, 585–601. doi: http://dx.doi.org/10.1175/BAMS-D-12-00050.1
Last updated: Mon, 22 Oct 2018 19:53:16 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units